Daegu Gyeongbuk International Social Network Conference. (DISC) Disc 2014 내지최종

11-13 December, 2014
Daegu, Korea
Asia Triple Helix Society (ATHS): http://asia-triplehelix.org
Organized By
Sponsored By
Y.U. BK21 Plus Project Team for
“Glocal East Asian Cultural Contents”
최소사용규정
POHANG UNIVERSITY OF SCIENCE AND TECHNOLOGY Basic System04
Type A-기본형
Type B-활용형
Type C-단도형
Authority Mark
12mm
아카디피아 LOGO IDENTITY_ 확정본
Taegu Broadcasting Corporation Identity Standard Manual BS.01
워드마크
WordMark
워드마크는 TBC의 대내외 커뮤니케이션에 있어서 이미지를 대표하는 CI의 핵심 요소이므로, 임의로 형태나 색상 등을 변경해서는 안된다.
아래에 제시된 색상은 적용매체의 특수성으로 인해 색상표현이 불가능한 경우를 제외한 모든 상황에서 동일하게 표현되어야 하며 정확한 명도, 채도 등을 유지하여야 한다.
Pantone Warm Red C
Process Color_M 80% + Y 90%
Pantone 2738C
Process Color_C 100% + M 80%
TBC Red TBC Blue
TBC 워드마크의 B는 Play(실행)버튼을 형상화하여 방송의 시간성과 공간성을 부여하고
고객과 언제나 함께하는 방송이 되겠다는 TBC만의 방송철학과 의지를 표현하였다.
실행버튼의 TBC Blue 컬러는 뉴 미디어 시대를 앞서나가는 미래 지향적인 모습을,
TBC Red 컬러는 방송의 신속성과 컨텐츠의 풍부함, 따뜻하고 인간적인 방송을
추구하고자 하는 의미를 나타낸다.
Design Concept
The Yeongnam Ilbo
The 2nd
Daegu-Gyeongbuk
International Social
Network Conference
(DISC 2014)
Data as Social Culture : Networked
Innovation and Government 3.0
Program BookProgram Book

Contents
• Welcome Message ................................................................................................................ 05
• About DISC .............................................................................................................................. 06
• Program at a Glance.............................................................................................................. 07
• Keynote Speeches (Day 1).................................................................................................. 13
• Keynote Speeches (Day 2).................................................................................................. 79
• Panel Discussion 1............................................................................................................... 137
• Panel Discussion 10............................................................................................................ 205
• Round Table........................................................................................................................... 225
• Memo....................................................................................................................................... 227
Daegu-Gyeongbuk
International
Social Network
Conference

5
Daegu&Gyeongbuk,Korea,11-13December,2014.
AsianHubConferenceonTripleHelix&NetworkSciences(DISC2014)
Welcome Message
Dear DISC Members,
I am Han Woo Park, the President of the Asia Triple Helix Society.
On behalf of our Society, I would like to sincerely invite and
welcome keynote speakers, presenters, and participants for 2014
Daegu Gyeongbuk International Social Network Conference
(DISC). We are greatly honored to have several Distinguished
Social Network Scholars with us as well.They are very productive
scholars around world. This is such a precious and memorable
moment for us because your visit to our city, Daegu, is at the
juncture of our society’s launching the new scholarly age. There
is no doubt that 2014 DISC will be the milestone for Social
Network field here in Daegu. Daegu has been cold and windy
this winter, but I hope you feel comfortable and wish you had an
unforgettable time at the upcoming conference.
Thank you.
Full. Professor Dr. Han Woo PARK,
BA-HUFS, MA-Seoul Nat’l Univ. PhD-SUNY Buffalo
The Chairman of DISC 2014
The President of Asia Triple Helix Society

6
Daegu Gyeongbuk International
Social Network Conference
Asia Triple Helix Society (ATHS) is to develop research projects that adopt TH (triple helix) and WSI
(webometrics, scientometrics, and informetrics) approaches to the Asian countries by engaging
researchers, academia, industry, and government. To inform the wider public of our activities and
accomplishments, we host and participate in various public events including regular lecture series,
seminars, and an annual conference. The 2nd Daegu Gyeongbuk International Social Network
Conference (DISC) held in December 2014 is the first international conference on big data and social
network areas in Korea. DISC is aimed at pursuing the continuous scholarly growth and building the
university-industry relations. Furthermore, we hold the present international conference in Daegu,
expecting local development in a wide range of areas such as politics, economy, society, history,
culture, etc.
대구경북 대표 브랜드 학회로서의 DISC
박한우 영남대 교수, 지역에서 융복합/빅데이터/혁신관련 국제 컨퍼런스 매년 개최
정부3.0, 빅/공공 데이터, 소셜미디어, 게임과 콘텐츠, 기술혁신사업화, 과학기술정보 분야
국내외 첨단 융복합 분야의 전문가, 연구자, 정책담당자, 기업인, 대학생들이 한 자리에
1회성 홍보성 세미나가 아닌 In-bound 브랜드 국제학회로 인큐베이팅
About DISC
DISC 2014 Overview
• DISC 2014 SNS
Event Daegu Gyeongbuk International Social Network Conference (DISC 2014)
Dates December 11(Thu.) ~ 13(Sat.), 2014
Venue Eldis Regent Hotel, Daegu, Korea /YeungNam Univ. (13th)
Theme Data as Social Culture : Networked Innovation and Government 3.0
Organized by
- AsiaTriple Helix Society
-Y.U. Cyber Emotions Research Center
-Y.U. BK21 Plus ProjectTeam for "Glocal East Asian Cultural Contents"
- Korea Institute Science andTechnology Information (KISTI)
Sponsored by
KoreaTourism Organization, Daegu Convention &Visitors Bureau, Korea Culture &Tourism Institute(KCTI),
The IMC, POSTECH,TREUM, ACADEMIC EBOOK CORPORATION (ACADEPIA), Culture Plex, South-East
Asia Creative Economy Forum, Inside Solution, DapoomeunYukgaejang,Young IL Engineering,The
Yeongnamilbo,The Maeil Shinmun,TBC, Daegu Gyeongbuk Media Club
Website AsiaTriple Helix Society (ATHS): http://asia-triplehelix.org
DISC 2014 SNS
DISC 2014 Facebook : https://www.facebook.com/disckorea
DISC 2014Twitter : https://twitter.com/DISC2014
DISC 2014 Hashtag : #disc @disc
DISC 2014Wordpress : disckorea.wordpress.com
DISC 2014 App. : https://guidebook.com/g/disc2014

7
DISC 2013 Overview
• 63 papers from 13 countries
•The IMC Awardee
•The list of participants for 2 consecutive years :
Han Woo Park, Leslie M. Tkach-Kawasaki, Jana Diesner, Pieter E. Stek, Meeyoung Cha, Jang Hyun Kim,
Minho So, INYONG NAM, INHO CHO, Xanat Vargas Meza, Yon Soo Lim, Shin-Il Moon, Kyujin Jung, Chung
Joo Chung, Sungkyu Shaun Park, Woo-Sung Jung, HeyJeong An, kijun son, Chae Nam Jeon, Wayne
Weiai Xu, Ke Jiang, Leo Kim, Seong Eun Cho, Min-Woo Ahn, Hye-Jin Park, jiwon Park, Daehyeon Nam,
Kim InYeob, Jiyoung Park, Hwang Sungsoo, Phillips Fred
•Youth Convention Members :
Na-Yeong Oh, ye-eun Kang , Kyum-myung Kwak, yeo-eun Kee , Sung-min Hong, In-sung Hwang
Author Title Co-Author
The 1st place
WayneWeiai Xu
(SUNY-Buffalo, U.S.A)
The Networked Creativity in
the Censored Web 2.0
Miao Feng
(Univ. of Illinois at Chicago, U.S.A)
The 3nd place
Daegon Cho(조대곤)
(POSTECH, Korea)
An Empirical Analysis on
Smartphone Diffusions
-
Marko M. Skoric
(City Univ. of Hong
Kong, Hong Kong
S.A.R.)
The Role of Social Network
Sites and Mobile Phones in
Promoting the Acquisition of
Job-related Information, Job
Mobility and Entrepreneurship
Ji Pan (Nan yang Technological Univ.,
Singapore)
Wayne Fu (Nan yang
Technological Univ., Singapore)
Clarice Sim (Nan yang
Technological Univ., Singapore)
Yong Jin Park
(Howard Univ., USA)

8
Program at a Glance
Time/Date
Dec. 11 (Thu) Dec. 12 (Fri) Dec. 13 (Sat)
Eldis Regent Hotel Yeungnam Univ.
7th
Floor 2nd
Floor 7th
Floor 2nd
Floor
2nd
Humanities
Building
Room A Room B Room C Room A Room B Room C Room No. 302
07:30~08:00 Registration
08:00~08:20
Registration
Panel Discussion 7
Social Network
Analysis
Panel Discussion 8
DigitalTourism,
Branding,
Innovation, & Big
Data
Registration08:20~08:40
08:40~09:00
09:00~09:20
Panel Discussion 1
Social Media and
Big Data
Panel Discussion 2
SKKU BK
Panel Discussion 9
KCTI Session
Panel Discussion 10
Social Modeling
and Complex
System Workshop 1
(09:00~12:00)
Big Data Analytics
usingTextom,
NodeXL KrKwic,
andWebometric2.0
*Language:
Korean
09:20~09:40
09:40~10:00
10:00~10:20
Panel Discussion 3
WIS (Webometrics,
Informetrics,
Scientometrics)
using Big Data
Panel Discussion 4
YU BK
Break
10:20~10:40 Keynote Speech 7
Kimmo Kaski10:40~11:00
Janghyun Kim11:20~11:40 Keynote Speech 1
Leslie M.Tkach-
Kawasaki11:40~12:00 Keynote Speech 9
Wouter van
Atteveld
12:20~12:40
12:40~13:00
13:00~13:20
13:20~13:40
13:40~14:00
Lunch (12:00~13:20)
Lunch
(12:00~14:00)
Keynote Speech 2
Nasir Sheikh
Lunch (12:20~13:40)
Keynote Speech10
Peter Parycek
Meeyoung Cha
Workshop 2
(14:00~18:00)
AnalyzingWords
and Networks
with ConText
*Language:
English
(Korean
supported)
14:20~14:40 Break
Heeyoon Choi
RoundTable
DalYong Jin
Panel Discussion11
Tripple Helix
15:00~15:20
15:20~15:40 Break
15:40~16:00
Panel Discussion 5
Interacting with
Technology
Panel Discussion 6
Networks & Policy
Panel Discussion12
Government 3.0
Innovation and
Open Data
16:00~16:20
16:20~16:40
16:40~17:00 Break
HyejinYoun General Assembly17:20~17:40
Marko M. Skoric18:00~18:20
18:20~20:00 Gala Dinner
12:00~12:20
8

9
Conference Program 11 – 12 December, 2014 / Eldis Regent Hotel
No. Date/Time Speaker Title
1
Dec. 11 (Thu)
11:20~12:00
Leslie M.Tkach-Kawasaki
(Univ. ofTsukuba, Japan)
A New Era in Japan Election Campaigning? Perspectives on 'Big Data'
and Social Media Use in Japan's Electoral Landscape
2
Dec. 11 (Thu)
13:20~14:00
Nasir Sheikh
(SUNY Korea, USA)
Societal Success in the New Economy
3
Dec. 11 (Thu)
14:00~14:40
Peter Parycek
(Danube Univ. Krems, Austria)
European Open Government Data (OGD) Policies & Governance
Frameworks
4
Dec. 11 (Thu)
14:40~15:20
Heeyoon Choi(최희운)
(KISTI, Korea)
Current Status and Future of Science andTechnology Information
Service in Korea: KISTI Service 3.0
5
Dec. 11 (Thu)
17:00~17:40
HyejinYoun(윤혜진)
(Oxford Martin School,Univ. of Oxford, UK)
Invention as a Combinatorial Process ofTechnological Change
6
Dec. 11 (Thu)
17:40~18:20
Marko M. Skoric
(City Univ. of Hong Kong, Hong Kong S.A.R.)
Social Media & Public Opinion:WhatWe Already Know andWhatWe
Need to Learn
No. Topic Chair Title
1
Social Media
and Big Data
Dec. 11(Thu)
09:00~10:00
Marko M.
Skoric
1
Jesus N.Valero, MPA
(Univ. of NorthTexas, USA)
Self-organized Governance Networks on Social Media: Exploring
Continuum of Care Homeless Networks in Dallas-FortWorth
2
Jinseok Kim(김진석)
(Univ. of Illinois at Urbana-
Champaign,USA)
The Impact of Data Quality on Knowledge Discovery in Big Data: A
Case of Name Ambiguity
3
Hui-Jung Chang
(Fu-Jen Catholic Univ.,
Taiwan)
Online Social Networking Interactions: A Cross-cultural Comparison
of Network Structure on MacDonald Facebook Sites betweenTaiwan
and USA
4
Martin Meyer
(Univ. of Kent, UK)
‘BIG DATA’AS AN EMERGENT FIELD OF INQUIRY: A BIBLIOMETRIC
PERSPECTIVE ON SOCIAL SCIENCEWORK INTHIS AREA
5
Helen Lee(이혜정)
(Politecnico Di Milano, Italy)
(Univ. of London, UK)
Cyclic Open Innovation Framework with Big Data of Cities
[DAY 1] December 11(Thu), 2014
[DAY 1] December 11(Thu), 2014
No. Date/Time Speaker Title
7
Dec. 12 (Fri)
10:20~11:00
Kimmo Kaski
(Aalto Univ. / Oxford Univ., UK, Finland)
Computational Social Science: Analysis and Modeling of Human Sociality
8
Dec. 12 (Fri)
11:00~11:40
Janghyun Kim(김장현)
(Sungkyunkwan Univ., Korea)
What LinksTell Us: A Dialectics of Dependency
9
Dec. 12 (Fri)
11:40~12:20
Wouter van Atteveldt
(VU Univ. Amsterdam,The Netherlands)
New Data, Old Questions: Using New Methods to Analyse Press and
Politics
10
Dec. 12 (Fri)
13:40~14:40
Meeyoung Cha(차미영)
(KAIST, Korea)
Propagation Phenomena in Large Social Networks
[DAY 2] December 12(Fri), 2014
■Keynote Speeches
■Panel Discussions

10
No. Topic Chair Panel Title
2
SKKU BK
Dec. 11(Thu)
09:00~10:00
Sungsoo
Hwang
1
YooJung Hong(홍유정)
(SungKyunKwan Univ., Korea)
Semantic/RelationalTraits of Corporations with High Reputation
Indicators: A Case Study
2
Seung Chan Jeong(정승찬)
(SungKyunKwan Univ., Korea)
Comparing Discourses on Apple Iphone 6, 6+ and Samsung
Galaxy Note 4:Twitter, Facebook, and News Media
3
Seong Hwa Park(박성화)
(IBK., Korea)
Analyzing OnlineWords-of-Mouth through Internet Consumer
Community
4
Yenn Lee(이연옥)
(Univ. of London, UK)
Social Media Psephology:What Did Facebookers Say during the
Seoul Mayoral Elections of 2011 and 2014?
3
WIS
(Webometrics,
Informetrics,
Scientometrics)
using Big Data
Dec. 11(Thu)
10:00~11:20
Peter
Parycek
1
Young Hoon Lee(이영훈)
(KEIT., Korea)
Triple Helix analysis of R&D networks in Korean national R&D
programs
2
Kyujin Jung(정규진)
A Semantic (TRIZ) Network Analysis of "Open Public Data" Policy
in South Korea
3
Askhat F. Safiullin alias Eugene
Lee
(Chonbuk National Univ., Korea)
Social Network Analysis of State Cooperation:
Comparing Military Alliances to General Assembly Resolution Co-
Sponsorship from 1976 to 2012
4
Marko M. Skoric
(City Univ. of Hong Kong, Hong
Kong S.A.R.)
The Role of Social Network Sites and Mobile Phones in Promoting
the Acquisition of Job-related Information, Job Mobility and
Entrepreneurship
5
Yu (Audrey) Zhao
(Univ. ofWisconsin-
Milwaukee,USA)
How Is KnowledgeTransmitted OverTime through Social Media
Networks? An Investigation of Social Contagion through the Use
of Healthcare Hashtags
4
YU BK
Dec. 12(Fri)
10:00~11:20
Hui-Jung
Chang
1
Ji-Young Park(박지영)
(Yeungnam Univ., Korea)
An Exploratory Semantic Analysis in the Dynamics of Public
Opinion on Facebook : A Case of the Superintendent of Seoul
Office of Education in South Korea
2
A-Reum, Jang(장아름)
Twitter Network Analysis of Busan International Film Festival
(BIFF) 2014
3
ZhongchengWang
Social Network Analysis of South Korea National BasketballTeam:
Spain BasketballWorld Cup in 2014
4
Byung-soon Kang(강병순)
A Study on the Exchanges among University Students in East
Asia -China, Japan, and Korea-
5
Interacting
with
Technology
Dec. 11(Thu)
15:40~16:40
Wouter
van
Atteveldt
1
Inyeop Kim(김인엽)
(KAIST, Korea)
The Effects of Emotional Expression usingWeb application on
Depressed Mood
2
Daegon Cho(조대곤)
(POSTECH, Korea)
An Empirical Analysis on Smartphone Diffusions
3
HyunJoo Lee(이현주)
(KonKuk Univ., Korea)
Dilemma of Routinized Use of Social Network Sites: Uses and
Gratification and Privacy Management Approaches
4
Gohar Feroz Khan
(Korea Univ., Korea)
Theories in Communication Science (CS) using Google Scholar:
A Structural Analysis usingWebometrics and Social Network
Approach
5
Jae-Hwan Park(박재환)
(Univ. of Cambridge, UK)
Understanding the Cambridge Phenomenon from the
Perspective of Network andVarious Institutions
6
Networks &
Policy
Dec. 11(Thu)
15:40~16:40
Leslie M.
Tkach-
Kawasaki
1
Miao Feng
(Univ. of Illinois at Chicago, U.S.A)
Knowledge Sharing in and out of Networked Authoritarianism
2
WayneWeiai Xu
(SUNY-Buffalo, U.S.A)
The Networked Creativity in the CensoredWeb 2.0
3
Bo-Yung Kim(김보영)
Fate to be Failed? Networking and Integration of the Social
Welfare Delivery System in Korea
4
Minsun Song(송민선)
(Florida State Univ., USA)
"Different Structure of Risk Communication Networks during the
Sewol Ferry Disaster: Comparative Approach between Korea and
International Networks onTwitter and Facebook"
5
Youngim Jung(정영민)
(KISTI, Korea)
Findings on Association between the Research Performance and
Scholarly Information Use

11
No. Topic Chair Panels Title
7
Social
Network
Analysis
Dec. 12(Fri)
08:00~09:00
Fred
Phillips
1
Jiyoung Kim(김지영)
Tracking Longitudinal Path of Cultural Innovation on Web2.0: A
Case of K-pop
2
Jana Diesner
(Univ. of Illinois at Urbana-
Champaign, USA)
Computational Impact Assessment of Social Justice Media
3
Seok-Bong Jung(정석봉)
(Kyungil Univ., Korea)
An On-line Commodities Classification and Marketing Strategies
based on an Analysis of a Weighted Directed Network
4
Ke Jiang
(University of California, USA)
Dynamics of Culture Frames in International News Coverages: A
Semantic Network Analysis
5
Kyujin Jung(정규진)
Filling the Gap between Bureaucratic and Adaptive Approaches to
Crisis Management: Lessons from the Sewol Ferry Sinking in South
Korea
8
Digital
Tourism,
Branding,
Innovation &
Big Data
Dec. 12(Fri)
08:00~09:00
Mikyung
Lee
1
Sungjoon Kang(강성준)
(KAIST, Korea)
Analysis on Different Brand Image According to Car Ownership
2
Sangwon Lee(이상원)
(Kyung Hee Univ., Korea)
A Cross-Country Analysis of Drivers of Technological Innovation in
Telecommunication Industry
3
Jin-Young Kim(김진영)
Living with Casinos: Innovative Solutions, Big Data, and the Triple-
Helix Approach
4
Yoonjae Nam(남윤재)
Korean Local Governments’Utilization of Websites and SNS with
their Stakeholders for Developing Local Tourism
9
KCTI
Session
Dec. 12(Fri)
09:00~10:00
Inho Cho
Speakers Panelists Topic
1
WeiaiWayne Xu
(State Univ. of NewYork,
USA)
Sungjoon Lee
(Cheongju Univ., Korea)
Yoonjae Nam
(Kyung Hee Univ.,Korea)
Mapping Networked Diffusion
using Psy’s Gangnam Style
-reateldYouTube Videos
2
Chae Nam Jeon(전채남)
(The IMC, Korea)
Yon Soo Lim
(Hongik Univ., Korea)
Daehyun Nam
(UNIST, Korea)
Yongqwan Lee
(KCTI, Korea)
Big Data Analysis of Local
Government 3.0: Focusing on
Gyeongbuk-Do in Korea
3
Chanuk Park(박찬욱)
(KCTI, Korea)
Daegon Cho
(POSTECH, Korea)
Heedae Kim
(DIP, Korea)
Double-edged Sword: Big Data
and Privacy
10
Social
Modeling
and Complex
System
Dec. 12(Fri)
09:00~10:00
Kimmo
Kaski
1
Hang-Hyun Jo(조항현)
(POSTECH, Korea)
Generalized Friendship Paradox in Complex Networks
2
Sang Hoon Lee(이상훈)
(Sungkyunkwan Univ., Korea)
Community Structures of Multilayer Political Cosponsorship
Networks
3
Su DoYi(이수도)
(Pukyung National Univ., Korea)
Phase Transition in Coevolving Network of Conformist and
Contrarian Voters
4
Gabjin Oh(오갑진)
(Chosun Univ., Korea)
Asset Pricing Model using Agent based Model
5
Woo-Sung Jung(정우성)
(POSTECH, Korea)
Complex Network Analysis on the R&D Activities in Korea
[DAY 2] December 12(Fri), 2014

12
No. Topic Chair Panels Title
11
Tripple Helix
Dec. 12(Fri)
14:40~15:40
Meeyoung
Cha
1
Ki-Seok Kwon(권기석)
(Hanbat National Univ., Korea)
Technology Forecasting based on theTriple-Helix Indicator of
Synergy: the Case of MeasurementTechnology
2
Pieter E. Stek
(Delft Univ. ofTechnology,The
Netherlands)
Characterization of Sectoral Innovation Systems at the Regional
and National Scale through Bibliometric Analysis of Scientific
Publications
3
Øivind Strand
(Aalesund Univ. College, Norway)
Decomposing theTriple-Helix synergy in the Regional
Innovation Systems in Norway, Firm Data and Patent Networks.
4
Jean-Charles Lamirel
(Univ. of Strasbourg, France )
Measuring and Highlighting Changes of Influence in Authors/
Topics Networks through the Use of a New Metric: Application
to a Compound Dataset of Scientific Data
12
Government
3.0
Innovation
and Open
Data
Dec. 12(Fri)
15:40~17:00
HyejinYoun
1
Waltraut Ritter
(Knowledge Dialogues, Hong
Kong)
Innovation through Open Data in Asian Economies
2
Amir Reza Asnafi
(Shahid Beheshti Univ.,Iran)
Analysis on link networks of Iran municipal websites
3
XanatV. Meza
Stakeholders of organic products in Mexico and South Korea. A
webometric analysis onTwitter.
4
Yuchul Jung(정유철)
(KISTI, Korea)
An Automatic Relation Extraction Approach for Understanding
Korean Research Articles
RT
RoundTable
Dec. 12(Fri)
14:40~16:20
Inho Cho
Speakers Panelists Topic
1
DalYong Jin(진달용)
(Simon Fraser Univ.,
Canada)
Leslie M.Tkach-Kawasaki (Univ. of
Tsukuba, Japan)
Socio-Cultural Interpretation
on Korea’s Content in the
Global Markets : Digital Games
and Software
Marko M. Skoric (City Univ. of Hong
Kong, Hong Kong S.A.R.)
Daegon Cho (POSTECH, Korea)
Yon Soo Lim (Hongik Univ., Korea)
Sungjoon Lee (Cheongju Univ., Korea)
Yoonjae Nam (Kyung Hee Univ.,Korea)
YounghoRyu(KyoboBookCentre,Korea)
Hyun Seok Jung (Rhaon, Korea)
JungMi Lee (DGI, Korea)
No. Date/Time Language Organizers Topic
Workshop 1
Dec. 13 (Sat)
09:00~12:00
Korean
Chae Nam Chon (The IMC, Korea)
In Ho Cho (Sogang Univ.)
Ji-Won Park (Yeungnam Univ.)
Han Woo Park (Yeungnam Univ.)
Big Data Analytics using Textom,
NodeXL KrKwic, and Webometric 2.0
Workshop 2
Dec. 13 (Sat)
14:00~18:00
English
(Korean Supported)
Jana Diesner
(Univ. of Illinois at Urbana-Champaign, USA)
Jinseok Kim
(Univ. of Illinois at Urbana-Champaign, USA)
Analyzing Words and Networks with
ConText
Workshop Program 13 December, 2014 /Yeungnam University

Keynote Speeches
1st
dayDecember11(THU)/RoomA
11:20~12:00 [Speaker-1] A New Era in Japan Election Campaigning? Perspectives on ‘Big Data’
and Social Media Use in Japan’s Electoral Landscape
Leslie M. Tkach-Kawasaki, Associate Professor, Univ. of Tsukuba, Japan
13:20~14:00 [Speaker-2] Societal Success in the New Economy
Nasir Sheikh, Assistant Professor, SUNY Korea, USA
14:00~14:40 [Speaker-3] EuropeanOpenGovernmentData(OGD)Policies&GovernanceFrameworks
Peter Parycek, Head of the center, Danube Univ. Krems, Austria
14:40~15:20 [Speaker-4] Current Status and Future of Science and Technology Information
Heeyoon Choi, Director, Information Service Center, KISTI, Korea
17:00~17:40 [Speaker-5] Today and Future of S&T Information Service in Korea : KISTI Service 3.0
Hyejin Youn, Senior Research Fellow, Oxford Martin School / Univ. of Oxford, UK
17:40~18:20 [Speaker-6] Social Media & Public Opinion: What We Already Know and What We
Need to Learn
Marko M. Skoric, Professor, City Univ. of Hong Kong, Hong Kong S.A.R.

14
(Associate Professor, Univ. of Tsukuba, Japan)
Keynote Speaker 1
Prof. Leslie M. Tkach-Kawasaki is an Associate Professor in the Graduate School of Humanities and
Social Sciences, University of Tsukuba, Japan. Her research interests are concentrated on the use of
the Internet by Japanese political actors – mainly political parties, politicians, and candidates – as
political communication in election and non-election periods. Dr. Tkach-Kawasaki’s work has appeared
in political science journals (Party Politics), cross-disciplinary social science journals (Social Science
Computer Review), and as book chapters (The Internet and National Elections: A Comparative Study
of Web Campaigning, among others). In recent years, her work has expanded to comparative website
content analysis of news websites, editing monographs published by the Center for International and
Advanced Japanese Studies, University of Tsukuba, and network analysis.

15
A New Era in Japan Election Campaigning? Perspectives on
‘Big Data’and Social Media Use in Japan’s Electoral Landscape
Graduate School of Humanities and Social Sciences
Univ. of tsukuba, Tsukuba, Japan
E-mail: tkach@japan.email.ne.jp
Abstract
Since the mid-1990s, similar to politicians in other countries, Japanese candidates for political office have
been using the Internet as part of their political campaign media mix. However, until recently, Internet
utilization during the crucial period immediately prior to the election (referred to as the “campaign
activities period”) has been strictly regulated by the Public Offices Election Law. Changes in the law in
April 2013 to allow for online campaigning with certain restrictions potentially has ushered in a new era
of political campaigning in Japan.
The combination of high Internet utilization among the public and candidates, growing professionalism
of online campaigning in Japan, and utilization of social media are key factors in this new era of political
campaigning. In this presentation, after briefly reviewing the history of the POEL and how it has been
applied to political campaigning in Japan since 1995, I examine changes in the Japanese campaign
websphere by looking at practical examples from the July 2013 Upper House election campaign period
as well as the current December 2014 campaign period.

16
Nasir Sheikh
(Assistant Professor, SUNY Korea, USA)
Keynote Speaker 2
Biography
Nasir Sheikh is an Assistant Professor in the Department of Technology and Society, College of
Engineering and Applied Sciences at State University of New York, Korea. He is teaching courses such as
strategic marketing, technology assessment, and quality management. His research interests include
technological innovation and commercialization, technology assessment, decision modeling, and
analytics. Nasir Sheikh has thirty years industry experience in building global communications and IT
businesses as an executive in technology management, sales, and marketing. He has served in business
leadership roles at Atlas Telecom, UshaComm, CenterSpan Communications, and ACD Systems. Prior
to that Dr. Sheikh had technology management and operational roles at AT&T Labs, NorTel, Philips
Electronics, and Schlumberger. In the last ten years he has been engaged in management consulting
on next-generation renewal energy and healthcare technologies. Simultaneously, he was an adjunct
professor for teaching courses in international business and marketing and a teaching assistant for
courses such as new product development, total quality management, project management tools,
science and technology policy, competitive strategies in technology management, strategic planning in
engineering management, and intrapreneurship. He holds a Ph.D. degree in Technology Management
from Portland State University, an M.S. degree in Electrical Engineering from King Fahd University of
Petroleum and Minerals, and B.S. degree in Electrical Engineering from Middle East Technical University.
Dr. Sheikh has three children: Nadia, who recently completed her M.S. in International Relations from
London School of Economics, Omar, who is a third year student in Bioengineering at Oregon State
University, and Noor, who is a Biology freshman at Oregon State University. Dr. Sheikh enjoys reading,
painting, traveling, spinning, and squash.

17
Societal Success in the New Economy
Nasir Sheikh
Department of Technology and Society
College of Engineering and Applied Sciences at State University of New York Korea,
Incheon, Republic of Korea
E-mail: nasir.sheikh@sunykorea.ac.kr
Abstract
The new economy in the digital age has impacted societies, globally in unforeseen ways. It was
assumed that the rising tide would lift all social levels as we transitioned from the industrial economy
to the services economy. However, social indicators such as population growths, job opportunities,
and incomes have reacted in diverse ways to this new phenomenon. Developed countries in Europe
and North America are no longer the haven for endless economic opportunities and the youth are
disproportionately disadvantaged. Developing countries have seen a boom but the will the growth
provide only benefits? There is a new wave of thinking that data science can benefit government,
industry, and society. The societal impacts will take much longer and will likely take multiple non-linear
paths. Also data is only one perspective of a much larger picture of productivity and prosperity. This
presentation presents several viewpoints on the possible landscapes of the future and how we must
prepare to address this brave new world.

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36
Peter Parycek
(Head of the Center, Danube Univ. Krems, Austria)
Keynote Speaker 3
Biography
Peter Parycek, PhD, MSc, is Head of the Center for E-Governance at the Danube University Krems. As a
lawyer and graduate of the Master’s program Telematics, his work is at the intersection of legal policy,
social and technological developments. His research and project priorities include eGovernance,
eDemocracy and eGovernment. He is responsible for the conference series CeDEM (International
Conference for eDemocracy and Open Government held in Austria and Asia, http://www.donau-uni.
ac.at/cedem), and the open access journal JeDEM (eJournal of eDemocracy and Open Government,
http://www.jedem.org/).
Peter Parycek supports the leading eGovernment conferences as co/track-chair: Hawaii International
Conference on System Sciences HICSS, 2011-2015 (Minitrack Chair) HICSS; Internationales
Rechtsinformatik Symposion (IRIS, Track Chair); Open Government Data DACHLI Conference
Series (Chair); or program committee member: International Conference on eParticipation (ePart),
International Conference on Digital Government Research (dg.o), International Conference on Theory
and Practice of Electronic Governance (ICEGOV).
As a legal advisor he worked for Canton Zug in Switzerland and the state of Liechtenstein, drafting the
E-Government law and for UNDAP Evaluation of the Bulgarian E-Governance Strategy & Law. He is also
(co)-founder and member of different civil society organizations, like Politik Transparent e.V. (www.
meinparlament.at), Open3 e.V. (www.open3.at) , Open Knowledge Foundation Austria e.V. (okfn.at/) or
the German Society for Cybernetics.

37
SociEuropean Open Government Data (OGD)
Policies & Governance Frameworks
Peter Parycek
Center for E-Governance
Danube University Krems, Krems, Austria
E-mail: Peter.Parycek@donau-uni.ac.at
Abstract
Open Government Data initiatives have developed all over the world – a worldwide phenomenon
that started in traditional democracies and spread to all kind of political systems. Open government
data policies can be connected with different aims: transparency and accountability, participatory
governance, innovation and economic growth or internal value for the public sector itself (Janssen).
Compared with traditional eGovernment projects, one of the major differences is that the data supply is
just the first technological and organizational step - the big challenge after supplying data is to generate
demand in society and companies. The talk will focus on European OGD polices, their impact and their
success factors, like: different OGD policy phases; governance and interoperability structure for federal
states, which are crucial for collecting the data; community based activities which are new terrain for all
administrations all over the world; internal incentives for departments to publish data; The main results
of the talk are based on the evaluation of the implementation of the OGD strategy and portal of the City
of Vienna. This evaluation is grounded on qualitative interviews and online polls held after the strategy
was implemented. The country comparison is part of our ongoing Share PSI Network project (http://
www.w3.org/2013/share-psi/) funded by the European Commission.

38
Definition: Open (Gov) Data
• Data is open if anyone is free to use, modify,
and share it, for any purpose
• Open Government Data are data sets released
by the public sector.
J. Lucke und C. P. Geiger, „Open Government Data - Frei verfügbare Daten des öffentlichen Sektors“,
Zeppelin University, Friedrichshafen, TICC-101203, Dez. 2010.
The Open Definition, http://opendefinition.org/
EUROPEAN OPEN GOVERNMENT DATA (OGD)
POLICIES & GOVERNANCE FRAMEWORKS

39
#opendata standardization
Open government data
policies aims
• transparency and accountability
• participatory governance
• innovation and economic growth or
• internal value for the public sector itself
Benefits, Adoption Barriers and Myths of Open Data and Open Government
Marijn Janssena*, Yannis Charalabidisb & Anneke Zuiderwijk
Information Systems Management, Volume 29, Issue 4, 2012, 258-268

40
Success factors: National Level
(Austria)
• Technical Interoperability
– CKAN Interface for collecting metadata
– CKAN is de facto Standard in Austria
• Semantic Interoperability
– Meta-Data Schema Standardisation *
– No URI concept => but URL schema
*http://www.ref.gv.at/uploads/media/OGD-Metadaten_2_2_2013_12_12_EN.pdf
Success Factor Interoperability
European Interoperability Framework (EIF) for European public services, p. 71, http://ec.europa.eu/isa/documents/isa_annex_ii_eif_en.pdf

41
CC
data.<organisation>.gv.at/nutzungsbedingungen
http://creativecommons.org/
Success factors: National Level
(Austria)
• Legal Interoperability
– One Licence! Creative Commons: CC BY
– Open Data in Austria is not about PSI and FOI
• Organisational Interoperability & Aspects**
– Agile and open Cooperation (Administration, Science, CSO
e.g. OKF AT
– De facto Standard (Meta Data, URI and Licence)
– One central portal which combines federal open data
portal
** https://www.data.gv.at/wp-content/uploads/2013/08/Framework__for_Open_Government_Data_Platforms_1.1.pdf

42
OGD Metadata AT
Core fields
Version 2.2, http://reference.e-government.gv.at/uploads/media/OGD-Metadaten_2_2_2013_12_01.pdf
data.eu
Cities Federal States Ministries
data.gv.at
Interoperability here
(where the magic happens)
Source: Donau-Universität Krems, Centre for E-Governance

43
Data CATalogue Vocabulary – DCAT
• RDF vocabulary to increase interoperability of data sets
– Facilitate data discovery
– Simplify consumption of multiple data sources
• 2013: W3C Working Draft
http://www.w3.org/TR/vocab-dcat/
Prefix Namespace
dcat http://www.w3.org/ns/dcat#
dct http://purl.org/dc/terms/
foaf http://xmlns.com/foaf/0.1/
rdfs http://www.w3.org/2000/01/rdf-schema#
skos http://www.w3.org/2004/02/skos/core#
vcard http://www.w3.org/2006/vcard/ns#
OGD Metadata AT
Optional Fields

44
Mapping - DCAT-AP – EUROVOC
http://eurovoc.europa.eu/drupal/
DCAT-AP
• DCAT Profile to describe public sector data
and information
• Facilitate portal search spanning EU member
states and different public sectors by
exchanging metadata.
• Support the vision to realise an EU open data
portal

45
Aim: OGD for Innovation &
economic growth
DCAT-AP – Schematic Overview
EXPLORE
FIND
IDENTIFY
SELECT
OBTAIN
Public admi nistrations
Busi nesses
Standar disation bodi es
Academia
Data Portal
Data Portal
Data Portal
Data Portal
Data Portal
Data Portal
Metadata
Broker
Data
Consumers

46
Open Data Portal
Companies, R&D & CSO
Source: www.opendataportal.at
Open Gov Data Portal
Source: www.data.gv.at
UN Public Service Award

47
1,446 Datasets
254 Apps, Visualisations, Ideas
Data Source: www.data.gv.atSource: Donau-Universität Krems, Centre for E-Governance
FactorsTransport
Weather
Car2GoBike2Go
HealthLuftwerte Traffic Flow
Uber
Taxi
Accident
Statistics
Public
Transport
Expenses
By Food
Shared
Riding
…
…
Picture Source: cc by tobi_digital

48
Code Sharing - Code 4 America / Europe
Website: http://codeforeurope.net/
Result: 1 Data Set: 15 Apps
Source www.data.gv.atDataset: http://data.gv.at/datensatz/?id=add66f20-d033-4eee-b9a0-47019828e698 Source www.data.gv.atDataset: http://data.gv.at/datensatz/?id=add66f20-d033-4eee-b9a0-47019828e698

49
US-Freedom of Information Act
Website: www.foia.gov
Aim: OGD for strengthening
Democracy
(transparency & accountability +participatory governance)

50
Hamburg
Website: http://transparenz.hamburg.de/Website: http://transparenz.hamburg.de/
IFG Slowenien
Website: https://www.ip-rs.si/?id=195

51
Aim: OGD for internal value for
the public sector itself
Source: Transparenzgesetz.at
Ask the state!

52
Community Building
ExternalInternal
Open “Society” Data
(Companies / CSO /Individuals)
Open “Grey” Data
(Government owned companies & organizations)
Open Government Data
Shared Extranet Data
(Internal shared data between different organizations)
Shared Internal Data
(Internal shared Data)
Closed Internal Data
(Department owned closed but located data)
Data Platforms  from closed to open

53
Open3 (CSO)
http://open3.at/
Open Knowledge Foundation Austria
https://okfn.org/

54
Beyond Open …

55
Integration of Data into the Policy Cycle
Policy discussion
Policy formation
Policy Acceptance
Provision of
means
Implementation
Evaluation
Agenda Setting
David Nachmias und Claire Felbinger, „Utilization in the Policy Cycle: Directions for Research“,
Review of Policy Research 2, Nr. 2 (1982): 300–308;
Judith V. May und Aaron Wildavsky, The Policy Cycle (London: Sage, 1978).
ExternalInternal
Closed internal Data
Open
Data
Second &
Third Party
Data
Databases
File
Systems
User
Generated
Content
Data
Business Intell.
Data Mining
Visualization
Big Data Analytics
…
…
Governance for Data Driven Int.
E-Mail
Server
… …

56
Dr. Peter Parycek, MSc
Donau-Universität Krems
Centre for E-Governance
peter.parycek@donau-uni.ac.at

57
Memo

58
Heeyoon Choi
(Director, Information Service Center,
Korea Institute of Science & Technology(KISTI))
Keynote Speaker 4
Biography
Heeyoon Choi is Director of the Information Service Center in Korea Institute of Science and Technology
Information(KISTI). Before coming to KISTI, she worked for POSCO research Institute(POSRI) as director
of Knowledge Asset Center. She has been involved in various information activities domestic and
worldwide, as president of Korea Knowledge Information Committee, and the vice president of Korea
Knowledge Innovation Association, Korea Knowledge Creation Committee and Academic Society of
Information management and Korea Library Association. She was also a member of the ICSTI Executive
Board as vice president, and adjunt. Professor of OCLC. Recently she worked as visiting scholar at School
of Information Studies in University of Maryland. Now. she is a fellow of President’s Committee on
Library & Information Policy and professor of Knowledge Information Science in UST..She holds masters
and Ph.D in Information Science from Yonsei University in Korea where she reached informetrics and
knowledge management, and CSS from Dominican University in United States. Her particular interests
are in STI Policy, knowledge ecology and scholarly communications issues from open data, open access
to open science.

59
Current Status and Future of Science andTechnology Information
Heeyoon Choi
Director of Information Service Center,
Korea Institute of Science and Technology Information (KISTI), Deajeon, Republic of Korea
E-mail: hychoi@kisti.re.kr
Abstract
KISTI has played the vital role as National Science & Technology Information Center to provide
information service covering entire life cycle of R&D activities in Korea. KISTI is driving information
service strategy called KISTI service 3.0 for leading R&D information environment. Thru this, KISTI can
provide value-added information service by developing open STI platform from information search to
information analytics for information aided innovation and problem-solving.
Keywords: Science & Technology Information (STI), Service Innovation, Service Strategy, Value-added
Service, Information Analytics

60
2014.10.13
Heeyoon Choi
DISC 2014
CONTENTS
2 / 26

61
DaeguGyeongbuk,Korea,11-13December,2014.
AsianHubConferenceonTripleHelixNetworkSciences(DISC2014)
Continuous Waves of Change (1) Ⅰ. Information Environment
Digital Library
Wikis
Sharing
Long Tail
Tagging
Personalization
Semantic Web
Internet of Things
Interaction Web
Convergence
Web 2.0
E-journal
Datability
Data.gov
Visualization
Social Network
Cloud Computing
Government 3.0
Big Data
Digital Curation
Open Science
Open Access
Identification
Catalogue/MARC
RDA
FRBR
3 / 26
…..”.
Web of Things
Continuous Waves of Change (2)
Open Data
Movement
4th RD Paradigm
Mobile Computing
Social Networking
Cloud Services
Personalization
Mobile Computing
Social Networking
Data.gov
Science.gov
4 / 26
Ⅰ. Information Environment

62
Towards a Creative Korea
Individual Creative
Suggestions
Creative
Economy Town Diverse
Communities
Creative Economy Town
Creating various Business Models that will utilize the Government’s Data
Pioneering Next-Generation Markets by ST, ICT Innovation Capacity
Driving Government 3.0
Creativekorea.or.kr
5 / 26
RD Paradigm Change
leading scientists
corporate research labs
management of RD
theoretical RD
integrating RD value creative
data-based RD
Catch-up advanced country →
Creative-leading
Input resource → Innovation-driven
Problem-solving → Value-added
leading scientists
integrating RD and marketing
computing resources
6 / 26

63
Oversea Agencies
National Technical Information Service
Promote further use of an agency's content : FSRS*
NTRL 3.0** Service: offers significant advantages
with highlights
Gateway to government science : ‘Science.gov’
* Federal Science Repository Service
** National Technical Reports Library
Obama’s Transparent Open Government Policy
Big Data Initiatives
- $200 Million in New RD Investments
Open Data Initiatives
- Open Government Platform: data.gov, apps.gov
JST NII
RD strategies for creating ST innovation
Solve social problems through
convergence research
NII : SINET 3(‘07)
- SINET 4*(‘11)
* Science Information NETwork 4
British Library
leading hub in the global information
network
Innovation knowledge infrastructure
Problem solving with convergence
research
7 / 26
Oversea Agencies
Researcher ID
Personalized Recommendation Service
Deep Indexing
Citation Analysis
Distinguishing author name and each
research activities from those of others
Collaboration Network
ResearcherID (Thomson Reuters), Scholar
Universe (ProQuest), LinkedIn, ORCID
Indexing and Searching of Table, Picture,
Graph, Map, Figure in the fulltext
Image Processing Multimedia Indexing
Technology
CSA Illustrata (ProQuest)
Management of individual research product
and references
Detection and recommendation of research
item and funding info
WoS, Endnote, RefWorks
8 / 26
Journal Impact Factor, Self Citation,
Eigenfactor
Cited Reference Searching, Cited Map,
Citation Reports, Citing Article Network
ISI, Scopus, JCR

64
History
2000
1990
1980
1960
1982.1 : KORSTIC was reorganized as KIET
1991. 1 : KINITI was founded
1993. 3 : KORDIC was founded
1999.10 : Supercomputing Center was merged with KORDIC
2001.1 : KISTI was founded
By merging KINITI KORDIC
1962.1 : KORSTIC was founded
Ⅱ. About KISTI
9 / 26
Mission Roles
Creating the value of customers
thru the Innovation of ST Information Service
Information Service
▶ Develop, collect, and service ST information
▶ Build, and manage national ST information system
▶ RD on high-end information technologies
Information Analysis
▶ Perform tailored ST information analysis
▶ Provide with consultation services for technology commercialization
Supercomputing
▶ Manage, operate, and service supercomputing power
▶ Build, and manage national research network
▶ RD on high performance Computers / Grid / Network
Research
Centers

Major
Roles
Mission
10 / 26
Ⅱ. About KISTI

65
ST Information Services Activities
collects, processes, manages, and services an array of ST information
to support researchers
▶ Building and Integrating
• the key ST information resources
• the outputs of national RD projects
▶ Providing the information to users through
• NDSL (National Discovery for Science Leaders)
• KoreaScience
• NTIS (National Science Technology Information Service)
▶ Enhancing the quality of contents services thru the research
application of new information technologies like
• Object Identification Technology and Authority Control Methodology
• Knowledge Representative and Linkage
11 / 26
Ⅱ. About KISTI
Scholarly Information Services
RD
Project
Papers RD
Reports
Patents Technical
Trends Factual
Data
RD
Project
Reports Trends Factual
Data
NTIS NDSL
Electronic
Site License
SOCIETY
KSCD
KSCI
Korea
Science
National
RD Project, Reports
and Human
Resources
180 thousand reports,
800 thousand
researcher
RD
Project
Portal Service for
Academic Paper,
Patent, Trend, Factual
Data
Over 100 million papers
30 million patents
180 thousand reports
62 thousand trends
Human
Resources
RD
Report
Ministry of Science, ICT
and Future Planning, Korea
Publishers
IOP
Thomson
Reuter
Springer
Libraries
Library of
Congress
Elsevier British
Library Patent
DB
Korean Intellectual
Property Office
Society
Proceedings
Korean Societies
Journal
Paper
Factual
Data
KISTI
Nationwide consortium for
the joint purchasing of e-
publication
644 member institutions,
152 publisher, 231
consortia
A Global Gateway to
Korean STI Providing
Metadata and Full-
Texts from Scientific,
Technical, and
Medical Journals
fulltext papers and
metadata published by
Korean Academic Societies
773 societies participated
1,330,763 articles provided
E-fulltext
Local
Hosting

Korean
Sccholarly
Journal
Korea Science
Citation Database
provides research
trends for measuring
influence of Korean
journals
654 Journal title,
49,108 articles and
1,083,550 references
etc. etc.
Open
Access
12 / 26
Ⅱ. About KISTI

66
Development of KISTI’s Service Ⅲ. KISTI Service 3.0
Data based Problem
solving
Analytic, Linked,
Personal,
Recommend Service
KISTI Service 3.0
(2014 ~)
2001~Present 1962~2001
Share/Participate/
Open
NDSL Service
Global Service
NTIS Service
KISTI Service 2.0
(2008 ~ 2013)
STI Collection
Processing
STI Retrieval Portal
Service
KISTI Service 1.0
(2001 ~ 2007)
Information
retrieval service
Initiative
- THECNOLINE(1975)
- KIETLINE(1982)
- KIROS*(1985)
- KRISTAL**(1995)
KISTI Service
( ~ 2001)
* Korean Information Retrieval Online Service
** Knowledge Retrieval In ST Affiliated Literatures
13 / 26
Why KISTI Service 3.0?
• Is there any way to
increase the visibility
of Korean researchers
globally ?
• Why can we read
about government
funded research output
only through foreign
publishers demand
subscription ?
• I want to know
for key engineers
about battery car.
• Is there any good
business
opportunities?
• Is there any agency
that can manage the
my digital contents ?
• I need to know for
research history and
major researcher of
Big Data
• Is there any good
challenging research
item?
• I need some
professional
collaboration,
but I don’t know
what to do for it.
• I can’t subscribe
to the journal in
which my paper is
published.. God !!
Researcher Student
Government
/Funding Agency
Business
Librarian
14 / 26
Ⅲ. KISTI Service 3.0

67
Concept of KISTI Service 3.0
Base NDSL
(Overall User, Overall Content)
Intelligent NDSL
(Special user, Core Content)
KISTI Service 3.0
Value-Added/Open Service
Academic
Paper Patent
Metadata Digital Full Text (License)
Analysis Information
Author
Organiz
ation
Identification Linkage
Comprehensive Content
Technical
Report Trend
Scientific
Data
High Value-Added Content
Journal Topic
Classifi
cation
15 / 26
Concept of KISTI Service 3.0
AS-IS TO-BE
A national gateway to domestic/foreign ST
information providing metadata and full-
text by KISTI and e-journal consortium
Expansion of ST base content through
collaborating with KISTI’s partners and user
participation
Linkage service of scholarly articles,
patents, research reports, trend and factual
data
Intelligent content through identification,
linkage of ST content and identification
data like author ID, DOI
Development of identification technology
and authority control methodology
Convergence of ST intelligent content and
information analysis technology
ST information sharing by NDSL open
service
Intelligent service for creating value of
creative c
Promotion of mobile app and social network
service
User participation open platform for sharing
ideas, data and applications
16 / 26

68
Strategy of KISTI Service 3.0
Creation of
Customer Value
New Business
Model through
Open Platform
Convergence Confidence Collaboration Creation
Collaborative
Partnership with
Library, Industry,
Publisher, Academic
and Research
Institution
High Value-Added
Content through
Convergence of
Intelligent Content and
Technology
Confidence in ST
Content and Service
through
Data Sustainability and
Responsibility
4C : Successful ‚KISTI Service 3.0‛ Strategy
17 / 26
Content Strategy (1)
• Expansion of ST Content Coverage
- Most Common Resources, Open Access Resources, SCI, SCIE, etc.
• Provide Various ST Content
- Scientific Data, Usage Data, Trend Analysis Report, etc.
• Collection Linkage through Collaborating with Institutions

Base NDSL
Intelligent NDSL
18 / 26
ST Base Content : Comprehensive Aspect

69
Base NDSL
Intelligent NDSL
• Identification Authority Control
- Authors and its Affiliations, Organizations, Publishers, Journals
- Keywords, Classifications
• Linkage Open
- Linkage between Journal Articles, Patents and Reports through IDs
- Convergence of Contents and Identification
- Linked Open Data
concentration of works by author
academic community analysis
change of research product by organization change of research product by organizationchange of research product by organizationconcentration of works by author
academic community analysisacademic community analysis
concentration of works by author
academic community analysisacademic community analysis
19 / 26
ST Intelligent Content : Identification Linkage
Information Representation Set that ST Documents, Authority data, Classification, intelligent
word network and RD terms are semantically linked for on-demand Service
• ST Document for KnoBa
- 1,200,000 Domestic Journal Papers
- 150,000 International papers

• Authority Data (Identification)
- 500,000 Persons (mainly Korean)
- 100,000 Affiliations Publishers
- 30,000 Journal Titles
• Topic Network
- 1,600,ooo Entries
- 7,000,000 Relations
• Classification
- DDC, KDC, LC, IPC, etc..
20 / 26
ST KnowledgeBase : Identification and Linkage Data Set

70
Base NDSL
Intelligent NDSL
• Convergence of Content and Technology
- ST Intelligent Content and Knowledge Analysis Technology
- Content : Identification Data, Linkage Content, Citation, etc.
- Technology : Infometrics, Big Data Analysis Technology, etc.
• Analysis Information
- Statistics Usage Analysis, Time Series Analysis, Trend Analysis
- Detection of RD Trends
- Visualization and Infographics of Analysis Information
Visualization and Infographics of High Value-Added Content
21 / 26
High Value-Added Content : Convergence Analysis
Service Strategy (1)
• Base Platform for Overall ST Base Content
- Search and Document Delivery Service for ST Base Content
- Collection and Sharing of ST content with Collaborative Partnership
• Intelligent Platform for Promoting the ST Knowledge
- Responsible Service for Creative Value for Special Customer
- Specialized Service for Overall Research Product of Korean Researcher
- User participation Open Platform for Ideas, Data and Applications
Analyze the Research Trends
Grasp the RD Opportunities
Keyword
Researcher
Subject
Library
Automation
Digital
Library
Digital Library
Electronic Library
Hybrid Library
Web2.0
Archive
Larchiveum
22 / 26
Base NDSL
Intelligent NDSL

71
Service Strategy (2)
Policy
Decision
Maker
Researcher
Scientist
Institute
Libraries
Business
Students
Researcher
Support Strategic Decision-making
Recommend Important Researchers and Engineers
Verification of Funded Research Project and Derivation of RD policy
Provide Related ST Information that helps to RD by Specific Field
Detect New Challenges Research Area and Support the Task Planning of
RD Research
Support Technical Preemption via Future Technology
Recommend the Special Researchers that have Proprietary Technology
Promote User participation Platform for Sharing Ideas and Content
Support Educational Information like History of Research
Provide Personalized Service that can Create and Manage the Works by
Authors and Organizations
23 / 26
Service Scenario by Customer Group
Future Remarks
 ST Content based on
Identification
Linkage
Convergence
 Collection Linkage
by Collaborating with
Strategic Partnerships
 Providing with All
Only Information
relevant to
Customer Group
Demand
 Building Open
Platform for Sharing
Ideas, Content and
Application
 Analytic Service
based on High Value
added Content
 Support Decision-
making, Detect RD
Trends, Recommend
RD Opportunity
Providing
sustainable
responsible
STI
Promote
ST
Knowledge
Creation
of Customer
Value
24 / 26
Ⅳ. Future Remarks

72
Epilogue : Boosting ST Information Ecosystem
Value-Added
Creative
Information
Analytic Service
Personal Recommended
Service
25 / 26
We will grow
with close cooperation
with you!

Heeyoon Choi
hychoi@kisti.re.kr

73
Memo

74
HyejinYoun
(Senior Research Fellow, Oxford Martin School / Univ. of Oxford, United Kingdom)
Keynote Speaker 5
Research Interests
Innovation and Technological change; Urban Scaling and Dynamics (Economic diversity, Energy
consumption, Human Mobility); Transportation Network (Traffic in decentralized system); Historical
and Computational Linguistics (Language universality, Linguistic cognitive space); Network Theory
(topology and dynamics).

75
Invention as a Combinatorial Process ofTechnological Change
HyejinYoun*
Daniel Kim**
Jose Lobo***
Deborah Stumsky****
*
Institute for New Economic Thinking at the Oxford Martin School, Oxford, United Kingdom
*
Mathematical Institute, University of Oxford, Oxford, United Kingdom
*
Santa Fe Institute, USA
E-mail: youn@maths.ox.ac.uk
**
Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon,
Republic of Korea
***
School of Sustainability, Arizona State University, AZ, USA
E-mail: jose.lobo@asu.edu
****
Department of GeographyEarth Sciences, University of North Carolina-Charlotte, NC, USA
Abstract
Technology’s advance is central to our understanding of economic growth and development.
Furthermore, solutions for many of the planet’s most pressing challenges – economic recovery, poverty
reduction, climate change, sustainability – require significant additions to society’s technological toolkit.
Yet, our ability to quantitatively model and forecast technological change has been limited due to
difficulties in defining units of analysis and in collecting comparative empirical data. Some inventions,
namely patents, however, leave behind a documentary trail, enabling us to study the invention processes
in a quantitative way. Here, we propose to develop a formal methodology to construct detailed
technology “map” through combinatorial processes of inventions and its temporal evolution from large
- scale U.S. Patent data spanning 220 years. We utilize the classification system consisting of codes as
temporally consistent units of analysis (nodes). These technology codes are means to succinctly describe
a patent’s technology capabilities. When codes appear together in a patent, therefore, we consider them
interdependent to make a useable function and represent this interdependency by assigning a link to
between them. These microscale invention activities add up to form networks in time where macro-
scale structures emerge through temporal evolution of community structure. We observe and identify
structural change over time correspondent with historic events. We finally demonstrate that analyzing
and quantifying individual communities in time, using and developing a methodology for multiplex
networks, shed light on life cycles of technologies: birth, growth and death.

76
Marko M. Skoric
(Professor, City University of Hong Kong, Hong Kong S.A.R.)
Keynote Speaker 6
Biography
Marko M. Skoric is Associate Professor at the Department of Media and Communication. He holds
a Ph.D. in Communication from the University of Michigan and a B.Sc. in Psychology from the
University College London, UK. Marko’s teaching and research interests are focused on new media
and social change, with particular emphasis on civic and political implications of new communication
technologies.
Dr. Skoric has been featured in the international news media, including the BBC, The Economist and
The Washington Post, and his research cited by the Supreme Court of the United States (Brown v.
Entertainment Merchants Assn.). His work has appeared in edited volumes and peer-reviewed journals
such as Mass Communication Society, Journal of Broadcasting Electronic Media, Communication
Monographs, Asian Journal of Communication, Journal of Computer-Mediated Communication,
CyberPsychology, Behavior Social Networking, Computers in Human Behavior, Scientometrics, and
Surveillance Society.

77
Social Media Public Opinion:
What We Already Know and What We Need to Learn
Marko M. Skoric
Department of Media and Communication
City University of Hong Kong, Hong Kong S.A.R.
E-mail: mskoric@cityu.edu.hk
Abstract
In recent years, researchers have started using social media to predict social, political and economic
outcomes, ranging from election results to box office success of movies. As an increasing share of
everyday social interactions happens on social media platforms, social sciences are experiencing a
dramatic shift from data scarcity to data abundance. Given these important new developments in the
field, it is imperative to revisit theoretical and methodological foundations that have guided public
opinion research in the past. This talk will provide a review of the existing computational social science
research that uses social media messages to predict elections and public opinion. The aim is to compare
different approaches to election and opinion predictions, including volume-based analysis of messages,
sentiment analysis and network analysis, and provide empirical benchmarks of their predictive quality.
I will also discuss some potential theoretical models of public opinion suitable for social media-based
research as well as research designs that can be used for testing them

Keynote Speeches
2nd
day December12(FRI)/RoomA
10:20~11:00 [Speaker-7] Computational Social Science: Analysis and Modeling of Human Sociality
Kimmo Kaski, Professor, Aalto Univ., Finland / Oxford Univ., UK
11:00~11:40 [Speaker-8] What Links Tell Us: A Dialectics of Dependency
Janghyun Kim, Assistant Professor, Sungkyunkwan Univ., Korea
11:40~12:20 [Speaker-9] New Data, Old Questions: Using New Methods to Analyse Press and Politics
WoutervanAtteveldt,AssistantProfessor,VUUniv.Amsterdam,TheNetherlands
13:40~14:20 [Speaker-10] Propagation Phenomena in Large Social Networks
Meeyoung Cha, Assistant Professor, KAIST, Korea

80
Kimmo Kaski
(Professor, Aalto Univ. / Oxford Univ.,UK, Finland)
Keynote Speaker 7
Research Interests
Computational Science, Statistical Physics, Complexity Science, Complex Networks,
Computational Social Science, Data Science
Fellowship and Awards
1978 – 1981, British Council Fellowship, Oxford University, UK.
1994, Fellow of the American Physical Society, USA.
1996 – 2006, Academy Professor, Academy of Finland, Finland.
1997, Fellow of Finnish Academy of Technical Sciences, Finland.
1998, Fellow of the Institute of Physics, and Chartered Physicist, UK.
2000 – 2011, Laboratory of Computational Engineering, Centre of Excellence (Academy of Finland).
2001, Member of Academia Europaea, Section of Physics and Engineering Sciences, Europe (UK).
2001, Supernumerary Fellow, Wolfson College, University of Oxford, UK.
2002, Member of Finnish Academy of Sciences and Letters, Finland.
2014, Associate Fellow, Said Business School, Oxford University, UK.

81
Computational Social Science:
Analysis and Modeling of Human Sociality
Kimmo Kaski
BECS, Aalto University School of Science, Aalto, Finland

CABDyN Complexity Center, Said Business School
Oxford University, Oxford, United Kingdom
E-mail: kimmo.kaski@aalto.fi
Abstract
In today’s society social interactions takes place increasingly through ICT, the events of which leave
behind digital traces of individual behaviour as ever-growing datasets. The study of such data using
computational analysis and modeling with Network Theory approach can give us unprecedented
insight into human sociality. This was well-demonstrated by our analysis of the dataset of mobile phone
communication-logs, confirming the Granovetterian picture for the social network structure, i.e. being
modular showing communities with strong internal ties and weaker external ties linking them1. More
recently the same dataset has allowed us to look at the nature of social interaction in more detail and
from a different Dunbarian egocentric perspective, due to it including demographic data in the form of
gender and age information of individual service subscribers2. With this we have got a deeper insight
into the gender and age-related social behavior patterns and dynamics of close human relationships.
Our analysis results demonstrate sex differences in the gender-bias of preferred relationships that reflect
the way the reproductive investment strategies of both sexes change across the lifespan, in particular
women’s shifting patterns of investment in reproduction and parental care. These empirical findings
inspired us to take the next step in network theory, namely developing models to catch some salient
features of social networks and processes of human sociality in them. One of our first models, based on
network sociology mechanisms for making friends, turned out to produce many empirically observed
Granovetterian features of social networks, like meso-scale community and macro-scale topology
formation3. In another model we have investigated the social implications of deception for opinion
formation in coevolving social network, where we find that white or pro-social lies glue society together
while black or anti-social lies create diversity4. To summarize we believe that the network theory
approach to social systems combined with computational data analysis and modeling opens up a new
perspective for studying and even predicting collective social phenomena.

82
Jang Hyun Kim, Ph.D.
(Assistant Professor, Sungkyunkwan Univ., Korea)
Keynote Speaker 8
Biography
Ph.D., Communication, State University of New York at Buffalo (2007)
M.A., Communication, Yonsei University (1998)
B.A., Economics, Yonsei University (1996)
Public Affairs Officer, KAF.
Assistant Professor, University of Hawaii at Manoa (2007-2012) and DGIST (2013-2014)
Assistant Professor, SKKU (2014- )
Area of Research
Social and Semantic Network Data Analysis
Future Media, Social Media, IT Leadership
Recent Research (Selected)
Lee, H.-E., Lee, H.-R., Choi, H., Kim, J. H. (2014). Social media use, body image and
psychological well-being: A cross-cultural comparison of Korea and the U.S. Journal of Health
Communication.*
Kim, J. H., Park, H. W. (2014). Food policy in cyberspace: A webometric analysis of
national food clusters in South Korea. Government Information Quarterly.*
Nam, Y., Kim, J. H., Kim, D. (2013). How does industry use social networking sites?
An analysis of corporate dialogic uses of Facebook, Twitter, YouTube, and LinkedIn by industry
type. Quality Quantity.* Online First DOI: 10.1007/s11135-013-9910-9
Kim, D., Kim, J. H. (2013). Understanding persuasive elements in phishing
emails: a categorical content and semantic network analysis. Online Information Review, 37(6),
835-850. (corresponding author).*
Kim, J. H., Kim, M., Chung, C. (2013) The anatomy of the media framing of the net-neutrality
debate: A mixed method of content and semantic network analyses. Journal of
Communication Science(언론과학연구), 13(4), 206-243.** (in English)
Kim, J. H. (2012). A hyperlink and semantic network analysis of the triple helix (University-Government-
Industry) interorganizational communication structure of nanotechnology. Journal of
Computer-Mediated Communication, 17, 152-170.*
** Impact factor rankng #1 (2009), #3 (2010) in Communication (SSCI)

83
What LinksTell Us: A Dialectics of Dependency
Janghyun Kim Ph.D.
Department of Interaction Science Sungkyunkwan University, Republic of Korea
E-mail: jangkimuh@gmail.com
Abstract
I have researched many social networks from the international, interorganizational, interpersonal and
inter-media perspectives. Furthermore, I have studied semantic networks of mass media coverage, blogs,
social media, research abstracts, websites, and even spam messages delivered to people’s inboxes. These
diverse networks suggest an important question to think about: interdependence and its impact. For
instance, the relational dialectics approach to human communication argues that close interpersonal
relationships necessarily involve inherent and ongoing tensions, struggles, and contradictions among
opposite tendencies such as integration-separation, stability-change, expression-nonexpression,
inclusion-seclusion, conventionality-uniqueness, and revelation-concealment. A close relation is formed
and maintained in continual tensions like playing at a tug of war. The author of this article posits that
such tensions are originated from the duality of interdependence. Interdependence among plural parties
may lead to mutual understanding and achievement of intersubjectivity. However, sometimes, it leads
to misunderstanding, tension, and conflict. Under what circumstances, are the positive outcomes of
interdependence from social networking maximized? Under what condition, are the negative outcomes
of interdependence from social networking controlled and regulated? As a scholar, I would like to
throw such questions for the participants of DISC 2014 at Daegu. On the other hand, semantic network
represents the interdependence of words. Theoretical and methodological approaches to find possible
answer(s) to the questions are included in this paper. In addition, suggestions for future research are
addressed.
Key words: interdependence, dependency, social networks, semantic networks.

84
(Assistant Professor, VU Univ. Amsterdam, The Netherlands)
Keynote Speaker 9
Biography
Wouter van Atteveldt is Assistant Professor in the Department of Communication Science at the
VU University Amsterdam. His interests are in political communi-cation and (automated) content
analysis. Besides working on the AmCAT content analysis infrastructure, his current research focuses on
mediatisation, especially the tension between politician’s ideals and their representation in the media.

85
New Data, Old Questions:
Using New Methods to Analyse Press and Politics
VU University Amsterdam, Amsterdam, The Netherlands
E-mail: wouter@vanatteveldt.com
Abstract
Our current digitalised society offers an unprecedented amount of information on social behaviour.
What we do, with whom we do it, and what we say while doing it is more and more captured in data
streams that can be scraped, parsed, and combined to form rich and fine-grained data sets. The
challenge for social science is applying the methods of‘Big Data’to interesting theoretical questions and
avoid being swamped by interesting but ultimately meaningless data-driven findings. In order for this to
succeed, the substantive questions must guide methodological application, while at the same time new
methodologies open the way for new theoretical lines of inquiry. Rather than diverging into separate
specializations, methodologists and substantive researches must converge to a point where they can
understand and appreciate each other’s questions and answers. In my current work, I am interested
in combining information from traditional and social media to better understand the interaction
between media and politics. The relationship between press and politics is characterized by strongly
interdependent relations and institutional constraints. Big data and new methodologies promise to help
unravel these complex interactions, but this data is meaningless if it is not analysed and interpreted in
light of the existing body of knowledge in political science and journalism. The content of political news
is the result of a strategic game between journalists and politicians. By combining analysis of mediated
and unmediated communication, either from ‘traditional’ venues such as speeches in parliament or
from social media utterances, we can create a citation network of which media are quoted by politicans
and which polticians are quoted in the media. Running a topic model on these utterances shows which
issues and events are most salient for each actor and for each citation, resulting in a rich semantic
network of what and whom the key actors talk about in both the mediated and direct communication.
This makes it possible to understand how ideas flow between actors and which actors participate as
content producers and gatekeepers, and the respective roles of political and media institutions in a
mediatised society. I show that LDA topics do indeed relate to traditional political issues. Second, I show
that by using grammatical rules it is possible to efficiently extract a semantic network of quotes, subjects,
and predicates. This network can then be enriched using topic models to see which topics politicians
talk about in the media and in their own discourse. This answers questions such as to whether media
messages match the political messages of political parties, and under which circumstances the distortion
of these messages is the greatest. Finally, I demonstrate the open source software that makes it easy to
conduct such analyses. By offering all data and methods using open API’s with bindings for the open
source statistical toolkit R, it is easy to integrate and combine such analyses in your own workflow.

86

87

88

89

90

91

92

93

94

95

96

97

98

99

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120
Meeyoung Cha
(Associate Professor, KAIST, Korea)
Keynote Speaker 10
Biography
Meeyoung Cha is an associate professor at Graduate School of Culture Technology in KAIST. Meeyoung
received a Ph.D. degree in Computer Science from KAIST in 2008. Previously, she was a post-doctral
researcher at Max Planck Institute for Software Systems in Germany. Her research interests are in the
analysis of large-scale online social networks with emphasis the spread of information, moods, and user
influence. She received the best paper award from the Usenix/ACM SIGCOMM Internet Measurement
Conference 2007 for her work on YouTube and the International Conference on Weblogs and Social
Media 2012 for her work on social conventions. Her research has been published in leading journals
and conferences including PLoS One, Information Sciences, WWW, and ICWSM, and has been featured
at the popular media outlets including the New York Times websites, Harvard Business Review’s
research blog, the Washington Post, the New Scientist.

121
Propagation Phenomena in Large Social Networks
Meeyoung Cha
Graduate School of Culture Technology
Korea Advanced Institute of Science and Technology
Daejeon, Republic of Korea
E-mail: meeyoungcha@kaist.ac.kr
Abstract
Every day hundreds of millions of users share conversations on random thoughts, emotional expressions,
political news, and notable issues on social media. Information propagation in social media is unique
in that traditional media sources and word-of-mouth propagation co-exist. The availability of digitally-
logged propagation events in social media help us better understand how user influence, tie strength,
repeated exposures, social norms, and various other factors come into play in the way people generate
and consume information in the modern society, which is the focus of this talk. This talk will also cover
how misinformation or a rumor propagates in social media, based on extensive data analysis.

Daegu Gyeongbuk International Social Network Conference. (DISC) Disc 2014 내지최종

Daegu Gyeongbuk International Social Network Conference. (DISC) Disc 2014 내지최종

Recommended

Recommended

More Related Content

Viewers also liked

Viewers also liked (7)

Similar to Daegu Gyeongbuk International Social Network Conference. (DISC) Disc 2014 내지최종

Similar to Daegu Gyeongbuk International Social Network Conference. (DISC) Disc 2014 내지최종 (20)

More from Han Woo PARK

More from Han Woo PARK (20)

Recently uploaded

Recently uploaded (20)

Daegu Gyeongbuk International Social Network Conference. (DISC) Disc 2014 내지최종