Professor Hendrik Speck - Social and Virtual. - An Analysis Framework for Large Scale Communities. Commercial Communities Conference. Technical University of Berlin. Institute of Sociology. 2008
Professor Hendrik Speck - Social and Virtual. - An Analysis Framework for Large Scale Communities. Commercial Communities Conference. Technical University of Berlin. Institute of Sociology, October 30 - 31 2008, Berlin, Germany, User Generated Content, Interaction, Third Party Associations and Content, Access and Connectivity, API's, Beacons, and Data Feeds, Merger of Social, Mobile and Local, social network analysis, social network visualization, Audience and Participants, Relational Data, Mathematical Models, Analytical Framework, Processing, Computing Power, Computer Mediated Communication, Visualization Algorithms, Interest, Use Cases, Marketing, Commerce, Web Services, Type of Data, Attribute, Ideational, Relational, Research Method, Survey Research, Surveys and Interviews, Ethographic Research, Observations, Field Studies, Documentary Research
Logfiles, Texts and Archives, Type of Analysis, Variable, Typological, Network, User Profiles. Name, Age, Links, Interests, Hobbies, City, Country, Category, Videos Headline, Content, Descriptions, Tags, Playlists, Video Comments Author, Text, Tags, Themes, Ranking of Users and Channels Views or Subscriptions by Time and Category, Rankings of Videos Ratings or Views by Time and Category, Interaction Friends, Subscription, Comments, FollowUps
Betweenness, Centrality Closeness, Centrality Degree, Flow Betweenness Centrality, Centrality Eigenvector, Centralization, Clustering Coefficient, Cohesion, Contagion, Density, Integration, Path Length, Radiality, Reach, Structural Equivalence, Structural Hole, Islands
Professor Hendrik Speck - Information Mining in the Social Web. Empolis Execu...Hendrik Speck
Professor Hendrik Speck - Information Mining in the Social Web. Empolis Executive Forum, June 8th 9th 2009 Berlin Germany. social networks, social media, web 2.0, social network analysis, usage, audience, user, markets, revenues, google, youtube, myspace, wikipedia, attributes, search engines, marketing, lobbying, information mining, information retrieval, risk, law, security, branding, marketing, privacy, private sphere, public sphere, anonymity, surveillance, panopticon, sousveillance, hype, history, features, examples, captcha, security, cracking, data portability, decentralization
Professor Hendrik Speck - Social Conduct. Privacy and Social Networks.Hendrik Speck
Professor Hendrik Speck - Social Conduct. Privacy and Social Networks, re:publica’09. Shift happens. Netiquette for Social Networks, April 2nd, 2009, Berlin, Germany
October 9th, 2008 Berlin, Germany, privacy, private sphere, public sphere, risk, law, security, anonymity, surveillance, panopticon, sousveillance, social network analysis, social media, web 2.0, hype, history, features, examples, audience, user, markets, revenues, google, youtube, myspace, wikipedia, captcha, security, cracking, data portability, decentralization, helloworld, hello world network, open id, openid, opensocial, open social, rsa, foaf, xml, java
Prof. Hendrik Speck - IMEA 3 Heidelberg - Social MediaHendrik Speck
Prof. Hendrik Speck -
IMEA 3 Heidelberg - Social Media
prof. hendrik speck, imea 3, imea3, heidelberg, social media, risks, opportunities, insurance, trust, media, audience, reach, value, user, reputation, trust, loyalty, mediademogaphics, web 2.0, facebook, flickr, twitter, wikipedia
Prof. Hendrik Speck - Attention Based Economies - the Economic Value of Googl...Hendrik Speck
Prof. Hendrik Speck - Attention Based Economies - the Economic Value of Google Scholar and Co. 9th International Bielefeld Conference. February 3 – 5, 2009, Bielefeld, Germany, Libraries, Archives, Online Media, Google, Business Model, Google Book Search, Google Scholar, Commercialization of Attention, user, content, libraries, media usage, media consumption, Internet, Home video, Video games, Television, Radio, Movies, Books, Magazines, Newspapers, Audio, access, constraints, barriers, limitations, content, linkage, quality, google, search, market share, growth, functionality, product diversification, objectives, business models, revenue, google scholar, sources, features, ranking, commercialisation, attention, advertising, keyword advertising, adwords, adsense, popularity, price
20110128 connected action-node xl-sea of connectionsMarc Smith
Slides for the 28 January 2011 Presentation of "Finding direction in a sea of connection" at Hartnell College in Salinas, California, sponsored by the Community Foundation for Monterey County (CFMCO.org)
Professor Hendrik Speck - Information Mining in the Social Web. Empolis Execu...Hendrik Speck
Professor Hendrik Speck - Information Mining in the Social Web. Empolis Executive Forum, June 8th 9th 2009 Berlin Germany. social networks, social media, web 2.0, social network analysis, usage, audience, user, markets, revenues, google, youtube, myspace, wikipedia, attributes, search engines, marketing, lobbying, information mining, information retrieval, risk, law, security, branding, marketing, privacy, private sphere, public sphere, anonymity, surveillance, panopticon, sousveillance, hype, history, features, examples, captcha, security, cracking, data portability, decentralization
Professor Hendrik Speck - Social Conduct. Privacy and Social Networks.Hendrik Speck
Professor Hendrik Speck - Social Conduct. Privacy and Social Networks, re:publica’09. Shift happens. Netiquette for Social Networks, April 2nd, 2009, Berlin, Germany
October 9th, 2008 Berlin, Germany, privacy, private sphere, public sphere, risk, law, security, anonymity, surveillance, panopticon, sousveillance, social network analysis, social media, web 2.0, hype, history, features, examples, audience, user, markets, revenues, google, youtube, myspace, wikipedia, captcha, security, cracking, data portability, decentralization, helloworld, hello world network, open id, openid, opensocial, open social, rsa, foaf, xml, java
Prof. Hendrik Speck - IMEA 3 Heidelberg - Social MediaHendrik Speck
Prof. Hendrik Speck -
IMEA 3 Heidelberg - Social Media
prof. hendrik speck, imea 3, imea3, heidelberg, social media, risks, opportunities, insurance, trust, media, audience, reach, value, user, reputation, trust, loyalty, mediademogaphics, web 2.0, facebook, flickr, twitter, wikipedia
Prof. Hendrik Speck - Attention Based Economies - the Economic Value of Googl...Hendrik Speck
Prof. Hendrik Speck - Attention Based Economies - the Economic Value of Google Scholar and Co. 9th International Bielefeld Conference. February 3 – 5, 2009, Bielefeld, Germany, Libraries, Archives, Online Media, Google, Business Model, Google Book Search, Google Scholar, Commercialization of Attention, user, content, libraries, media usage, media consumption, Internet, Home video, Video games, Television, Radio, Movies, Books, Magazines, Newspapers, Audio, access, constraints, barriers, limitations, content, linkage, quality, google, search, market share, growth, functionality, product diversification, objectives, business models, revenue, google scholar, sources, features, ranking, commercialisation, attention, advertising, keyword advertising, adwords, adsense, popularity, price
20110128 connected action-node xl-sea of connectionsMarc Smith
Slides for the 28 January 2011 Presentation of "Finding direction in a sea of connection" at Hartnell College in Salinas, California, sponsored by the Community Foundation for Monterey County (CFMCO.org)
Science and Social Media: The Importance of Being OnlineChristie Wilcox
This powerpoint was a part of a 2 hour workshop on social networking for scientists that was given at the 2012 NIH, NIGMS Fourth Biennial National IDeA Symposium of Biomedical Research Excellence (NISBRE).
Why should scientists care about social media and communications? Don Stanley of 3Rhino Media and the University of Wisconsin-Madison Department of Life Sciences Communication answers this question in this presentation.
He also addresses how to get started with LinkedIn as a first social media platform
Slides from a talk to the Department of Sociology at the University of Oxford in 2005 on the social dynamics of the Internet. It covered key findings from the first years of the Oxford Internet Surveys (OxIS).
This is a presentation I gave at the annual meeting of the Society for Experimental Biology 2013 (http://www.sebiology.org/meetings/Valencia/Valencia.html). It contains lots of tips for scientists to use social media appropriately and efficiently. It also highlights examples of social media in academia and types of possible content.
The State of Social Media (and How to Use It and Not Lose Your Job)Andrew Krzmarzick
Keynote address for the National Conference of State Legislatures (NCSL) Luncheon for Legislative Information and Communications Staff and National Association of Legislative Information Technology professionals on October 10, 2012.
Professor Hendrik Speck - Social and Beyond. Zurich University of the Arts. I...Hendrik Speck
Professor Hendrik Speck - Social and Beyond. Zurich University of the Arts. Institute for Design and Technology Monitoring Scenography Space and Truth. 2008 Social networks, social media, tagging, user generated content, attention based societies, stanford, european graduate school, data, privacy, surveillance, User Generated Content, Interaction, Third Party Associations and Content, Access and Connectivity, API's, Beacons, and Data Feeds, Merger of Social, Mobile and Local, social network analysis, social network visualization, Representation and the Social, Social Space, Social Scenography, Truth, Space and Reality
How to drink from a fire hose. Presentation made to the North Carolina Cooperative Extension Virtual IT conference. Filtering based off of importance of the information.
Outreach Through Social Media | Ocean Sciences 2014Christie Wilcox
My presentation at Ocean Sciences 2014 in Honolulu, HI on how scientists can use social media for outreach and professional development. The internet is yours! #OSMSocial #2014OSM
Social Media Web Marketing Nov 2009 Wk2PCM creative
This five day workshop looks at the phenomenon called Web 2.0 as a "Super User" not a developer, visiting integrated web services, social technologies and resources applying them directly to business. We explore free online business tools, the usefulness of Social Networking, subscriber multi media platforms and collaborative wikis with business in mind.
Practical sessions will enable students to embed badges and widgets to their own web sites and gain a perspective of the dynamic content possible when commissioning a bespoke site from a web design company.
The course also looks at business attitudes to IT, particularly Fun vs. Work, security, personal identity, behaviour and etiquette taking a look at the debate around Internet morality and ethics in a world of faceless communication mediums.
This course introduces the concepts of extracting, embedding, aggregating and linking to and from social media platforms sharing content for business benefit encouraging promotion of a band across multiple user environments in the context of the Internet and the World Wide Web. The course provides students with an understanding of how Web 2.0, social media and online world has evolved and which technologies currently contribute to creating successful businesses online interaction specifically for them.
Week 2
Interactive Platforms
Market share and population demographics
Instant messaging and digital communication
Niche marketing via Social Media networks
Community Engagement
Blogging & Micro blogging
Tagging and Trending
RSS
Aggregation and Distribution
Keynote at 4th International Symposium on Secuirty in Computing at Communicat...IIIT Hyderabad
With increase in usage of the Internet, there has been an exponential increase in the use of online social media on the Internet. Websites like Facebook, Google+, YouTube, Orkut, Twitter and Flickr have changed the way Internet is being used. There is a dire need to investigate, study and characterize privacy and security on online social media from various perspectives (computational, cultural, psychological). Real world scalable systems need to be built to detect and defend security and privacy issues on online social media. I will describe briefly some cool ongoing projects that we have: Twit-Digest, MultiOSN, Finding Nemo, OCEAN, Privacy in India, and Call Me MayBe. Many of our research work is made available for public use through tools or online services. Our work derives techniques from Data Mining, Text Mining, Statistics, Network Science, Public Policy, Complex networks, Human Computer Interaction, and Psychology. In particular, in this talk, I will focus on the following: (1) Twit-Digest is a tool to extract intelligence from Twitter which can be useful to security analysts. Twit-Digest is backed by award-winning research publications in international and national venues. (2) MultiOSN is a platform to analyze multiple OSM services to gain intelligence on a given topic / event of interest (2) OCEAN: Open source Collation of eGovernment data and Networks Here, we show how publicly available information on Government services can be used to profile citizens in India. This work obtained the Best Poster Award at Security and Privacy Symposium at IIT Kanpur, 2013 and it has gained a lot of traction in Indian media. (3) In Finding Nemo, given an identity in one online social media, we are interested in finding the digital foot print of the user in other social media services, this is also called digital identity stitching problem. This work is also backed by award-winning research publication. I will be more than happy to clarify, discuss, any of our work indetail, as required, after the talk.
Science and Social Media: The Importance of Being OnlineChristie Wilcox
This powerpoint was a part of a 2 hour workshop on social networking for scientists that was given at the 2012 NIH, NIGMS Fourth Biennial National IDeA Symposium of Biomedical Research Excellence (NISBRE).
Why should scientists care about social media and communications? Don Stanley of 3Rhino Media and the University of Wisconsin-Madison Department of Life Sciences Communication answers this question in this presentation.
He also addresses how to get started with LinkedIn as a first social media platform
Slides from a talk to the Department of Sociology at the University of Oxford in 2005 on the social dynamics of the Internet. It covered key findings from the first years of the Oxford Internet Surveys (OxIS).
This is a presentation I gave at the annual meeting of the Society for Experimental Biology 2013 (http://www.sebiology.org/meetings/Valencia/Valencia.html). It contains lots of tips for scientists to use social media appropriately and efficiently. It also highlights examples of social media in academia and types of possible content.
The State of Social Media (and How to Use It and Not Lose Your Job)Andrew Krzmarzick
Keynote address for the National Conference of State Legislatures (NCSL) Luncheon for Legislative Information and Communications Staff and National Association of Legislative Information Technology professionals on October 10, 2012.
Professor Hendrik Speck - Social and Beyond. Zurich University of the Arts. I...Hendrik Speck
Professor Hendrik Speck - Social and Beyond. Zurich University of the Arts. Institute for Design and Technology Monitoring Scenography Space and Truth. 2008 Social networks, social media, tagging, user generated content, attention based societies, stanford, european graduate school, data, privacy, surveillance, User Generated Content, Interaction, Third Party Associations and Content, Access and Connectivity, API's, Beacons, and Data Feeds, Merger of Social, Mobile and Local, social network analysis, social network visualization, Representation and the Social, Social Space, Social Scenography, Truth, Space and Reality
How to drink from a fire hose. Presentation made to the North Carolina Cooperative Extension Virtual IT conference. Filtering based off of importance of the information.
Outreach Through Social Media | Ocean Sciences 2014Christie Wilcox
My presentation at Ocean Sciences 2014 in Honolulu, HI on how scientists can use social media for outreach and professional development. The internet is yours! #OSMSocial #2014OSM
Social Media Web Marketing Nov 2009 Wk2PCM creative
This five day workshop looks at the phenomenon called Web 2.0 as a "Super User" not a developer, visiting integrated web services, social technologies and resources applying them directly to business. We explore free online business tools, the usefulness of Social Networking, subscriber multi media platforms and collaborative wikis with business in mind.
Practical sessions will enable students to embed badges and widgets to their own web sites and gain a perspective of the dynamic content possible when commissioning a bespoke site from a web design company.
The course also looks at business attitudes to IT, particularly Fun vs. Work, security, personal identity, behaviour and etiquette taking a look at the debate around Internet morality and ethics in a world of faceless communication mediums.
This course introduces the concepts of extracting, embedding, aggregating and linking to and from social media platforms sharing content for business benefit encouraging promotion of a band across multiple user environments in the context of the Internet and the World Wide Web. The course provides students with an understanding of how Web 2.0, social media and online world has evolved and which technologies currently contribute to creating successful businesses online interaction specifically for them.
Week 2
Interactive Platforms
Market share and population demographics
Instant messaging and digital communication
Niche marketing via Social Media networks
Community Engagement
Blogging & Micro blogging
Tagging and Trending
RSS
Aggregation and Distribution
Keynote at 4th International Symposium on Secuirty in Computing at Communicat...IIIT Hyderabad
With increase in usage of the Internet, there has been an exponential increase in the use of online social media on the Internet. Websites like Facebook, Google+, YouTube, Orkut, Twitter and Flickr have changed the way Internet is being used. There is a dire need to investigate, study and characterize privacy and security on online social media from various perspectives (computational, cultural, psychological). Real world scalable systems need to be built to detect and defend security and privacy issues on online social media. I will describe briefly some cool ongoing projects that we have: Twit-Digest, MultiOSN, Finding Nemo, OCEAN, Privacy in India, and Call Me MayBe. Many of our research work is made available for public use through tools or online services. Our work derives techniques from Data Mining, Text Mining, Statistics, Network Science, Public Policy, Complex networks, Human Computer Interaction, and Psychology. In particular, in this talk, I will focus on the following: (1) Twit-Digest is a tool to extract intelligence from Twitter which can be useful to security analysts. Twit-Digest is backed by award-winning research publications in international and national venues. (2) MultiOSN is a platform to analyze multiple OSM services to gain intelligence on a given topic / event of interest (2) OCEAN: Open source Collation of eGovernment data and Networks Here, we show how publicly available information on Government services can be used to profile citizens in India. This work obtained the Best Poster Award at Security and Privacy Symposium at IIT Kanpur, 2013 and it has gained a lot of traction in Indian media. (3) In Finding Nemo, given an identity in one online social media, we are interested in finding the digital foot print of the user in other social media services, this is also called digital identity stitching problem. This work is also backed by award-winning research publication. I will be more than happy to clarify, discuss, any of our work indetail, as required, after the talk.
An Introduction to Social Network Analysis and Its Application in Software En...PUCRS University
This is a short tutorial on social network analysis applied to software engineering for beginners. Main social network analysis are presented along with examples of their application from literature. Reading recommendation is provided. This material was presented at the Workshop on Agile Methods for Distributed Teams organized by Prof. Tayana Conte, UFAM, Manaus, Brazil, on late Nov 2012.
An ‘open source’ networked identity - On young people’s construction and co-construction of identity on social network sites
Paper presentation at: “Youth 2.0 – Affordances, Uses and Risks of Social Media”, University of Antwerp, March 21th 2013
Online communities have moved to the top
of the strategic marketing and customer
care agenda at many organizations. A study
conducted by Demand Metric “Online
Communities: Driving Customer Engagement
& Influencing Revenue” (September 2014)
revealed that building an online community is a
top priority. Two-thirds of companies surveyed
have online communities and among those that
don’t there is a trend to consider building one
in the future. Additionally, among those who
have online communities, the reported benefits
include a better understanding of customer/
prospect needs, a more loyal customer base,
better customer perception of the brand, and
improved customer support quality. All of
these strategic initiatives are powered by digital
engagement using online communities. But
despite the strategic focus, turning these “top
priority” initiatives into functional and successful
business activities is unfamiliar territory for many
organizations.
One major stumbling block? Turning the
sometimes fuzzy and hard-to-grasp-and-explain
benefits of an online community into a business
case; a proposal which clearly demonstrates the
value of the community to the organization’s
bottom line.
Marketing and customer care leaders are often
the first to recognize the need for an online
community, and may take the lead on creating
one. But if the project begins by acquiring a
software platform prior to developing a business
case, the success of the online community
is already in jeopardy. The time, effort and
cost required to retrofit or replace a software
platform which did not fulfill the organization’s
real business needs -- or deliver the necessary
bottom-line results -- has killed many an online
community initiative. Building a business case
for your online community is essential to its
long-term success. This short but detailed report
covers the crucial steps to building a persuasive
business case -- the roadmap for building a
successful online community.
This report draws on Leader Network’s many
years of online community strategy, best
practice and implementation experience, and
in-depth interviews with eight successful online
community leaders with real-world examples
to back up their suggestions and advice.
Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. SNA provides both a visual and a mathematical analysis of human relationships.
- Building a healthy community; key considerations
- Valuing the role & seniority of community management
- Moderation and its role in governance
- Moderation strategy & risk preparation
Similar to Professor Hendrik Speck - Social and Virtual. - An Analysis Framework for Large Scale Communities. Commercial Communities Conference. Technical University of Berlin. Institute of Sociology. 2008
Computational methods for intelligent matchmaking for knowledge workJari Jussila
Computational methods for intelligent matchmaking for knowledge work - Case CMAD. Poster presented at CMADFI, 23 January 2017. Jayesh Prakash Gupta, Jari Jussila, Ekaterina Olshannikova, Karan Menon, Jukka Huhtamäki, Thomas Olsson, Prof. Ravi Vatrapu & Prof. Hannu Kärkkäinen.
Week 6 slides from the class "Social Web 2.0" I taught at the University of Washington's Masters in Communication program in 2007. Most of the content is still very relevant today. Topics: Lightweight authoring, blogs, and wikis
2010 Catalyst Conference - Trends in Social Network AnalysisMarc Smith
Review of trends related to social network analysis in the enterprise. Presented at the 2010 Catalyst Conference in San Diego, CA july 29, 2010. Presented with Mike Gotta, Gartner Group.
Researching Social Media – Big Data and Social Media AnalysisFarida Vis
Researching Social Media – Big Data and Social Media Analysis, presentation for the Social Media for Researchers: A Sheffield Universities Social Media Symposium, 23 September 2014
Il laboratorio aperto: limiti e possibilità dell’uso di Facebook, Twitter e Y...Manolo Farci
Intervento di Davide Bennato, Fabio Giglietto, Luca Rossi tenuto durante il convegno "Così vicini, così lontani: la via italiana aia social network" (26-27 Settembre Milano)
Apprehension of Youth towards Social Networking Sites: Two Sides of a CoinIJERA Editor
Social networking sites are wide area of research. Rapid growth in Technology and Human Resources provides us new platform to build social networks. Today it has become highest point of concern to be aware of social networking sites and built networks. Since few years Social networking site has become very popular. There are different social networking sites for different purpose fulfillment. Orkut fails in the race of Social Networking Sites as compare to facebook. Although Facebook came in existence later but able to attract more crowd. It is user-friendly. Everything which is developed as pros and cons it depends upon the user if they took advantage of technology and develops personality as well as build social networks or get involve themselves in illegal things such as hacking and use wrong sources. The advantages and disadvantages of the social networking sites are mentioned in this research paper.
Social Networking Sites And Digital Reference Services Version 02Mark-Shane Scale ♞
Done for classes at the Department of Library and Information Studies, University of the West Indies, Mona Campus.
Uploaded to be accessible to students studying the topic.
Done for classes at the Department of Library and Information Studies, University of the West Indies, Mona Campus.
Uploaded to be accessible to students studying the topic.
Comprehensive Social Media Security Analysis & XKeyscore Espionage TechnologyCSCJournals
Social networks can offer many services to the users for sharing activities events and their ideas. Many attacks can happened to the social networking websites due to trust that have been given by the users. Cyber threats are discussed in this paper. We study the types of cyber threats, classify them and give some suggestions to protect social networking websites of variety of attacks. Moreover, we gave some antithreats strategies with future trends.
Week 4 slides from the class "Social Web 2.0" I taught at the University of Washington's Masters in Communication program in 2007. Most of the content is still very relevant today. Topics: Social networks, privacy.
CORPUS-BASED STUDY ON GENDER, IDENTITY AND LANGUAGE USED
IN ONLINE SOCIAL NETWORKING COMMUNITY
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Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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Professor Hendrik Speck - Social and Virtual. - An Analysis Framework for Large Scale Communities. Commercial Communities Conference. Technical University of Berlin. Institute of Sociology. 2008
1. Social and Virtual. - An Analysis Framework for Large Scale Communities Prof. Hendrik Speck University of Applied Sciences Kaiserslautern Commercial Communities Conference. Technical University of Berlin. Institute of Sociology. October 30 th - 31 st 2008 Berlin, Germany
3. 1 Audience and Participants 2 Relational Data 3 Mathematical Models 4 Analytical Framework 5 Processing/Computing Power 6 Computer Mediated Communication 7 Visualization Algorithms 8 Interest/Use Cases 9 Marketing/ Commerce/ Web Services Requirements. Social Network Analysis Social Networks
4. 0 % Critics 50 % 52 % 19% Collectors Joiners Spectators Inactives 33 % 19 % 15 % Web 2.0: Consumer Groups by Activity. United States. 2006. Creators 13% Publish Web page or blog / Upload video to videoportals Comment on blogs / Post ratings and reviews Use RSS / Tag Web pages Use social networking sites Read blogs / Watch videos / Listen to podcasts None of these activities Source: Li, Charlene. Social Technographics. Forrester Research. 2007. Available: http://www.forrester.com/Research/Document/Excerpt/0,7211,42057,00.html Social Networks
5. 1 Individual/Collective/Network 2 Technology and Algorithms 3 Retrieval of All Relevant Attributes 4 Maintenance of Relationships 5 Merger of Macro and Micro 6 Generic Clustering and Filtering 7 Real Time/ No Direct Feedback 8 Action/Communication vs. Intention 9 Assumed Identity/ Islands/Holes Large Scale Analysis Attributes Social Networks
6.
7.
8. Commercial Channels Traffic and Lead Acquisition. Source: Smirnoff Experience. YouTube Channel and Website. 2008. Transition of Attention, Recall, Experience, Brand, Membership, and Buying Impulse.
14. 1. User Information and Interests Social Networks Data Mining. Data Layers. 2. User Generated Content, Interaction 3. Third Party Associations and Content 4. Access and Connectivity 5. API's, Beacons, and Data Feeds 6. Merger of Social, Mobile and Local
15. 1. Account ID 2. User Name 3. First Name 4. Last Name 5. Academic Title 6. Academic Degree 7. Sex/Gender 8. Birth/Maiden Name 9. Relationship Status User Identifiers and Attributes. Social Network Analysis. 10. Sexual Preferences 11. Birthday 12. Sign of the Zodiac 13. Hometown 14. Country 15. Time Zone 16. Political Views 17. Religious Views Social Networks
16. 18. Address 19. City 20. Zip 21. Country 22. Website 23. Email 24. Mobile Phone 25. Land Phone 26. Fax Contact Information. Social Network Analysis. 27. Skype ID 28. ICQ ID 29. AIM ID 30. Yahoo ID 31. WindowsLive ID 32. GoogleTalk ID 33. Gadu-Gadu ID Social Networks
17. 34. Status 35. Employer 36. Position/Title 37. Company Website 38. Address 39. City 40. Zip Code 41. State 42. Country Work. Social Network Analysis. 43. Industry 44. Description 45. Wants 46. Haves 47. Time Period From 48. Time Period To 49. Business Organization Social Networks
18. 50. College/University 51. Class Year 52. Attended for 53. Degree 54. College/Graduate School 55. Concentration 56. Second Concentration 57. Third Concentration 58. Degree Education. Social Network Analysis. 59. High School 60. Class Year Social Networks
19. 61. Activities 62. Interests 63. Hobbies 64. Favorite Music 65. Favorite TV Shows 66. Favorite Movies 67. Favorite Books 68. Favorite Quotes 69. About Me Personal Information and Interests. Social Network Analysis. 70. Pictures 71. Uploaded Picture(s) 72. Picture Tags 73. Audio 74. Uploaded Audio 75. Audio Tags 76. Video 77. Uploaded Video(s) 78. Video Tags Social Networks
20. 79. Location 80. Contacts 81. # of Contacts 82. Messages 83. # of Messages 84. Events 85. # of Events 86. Guestbook Entries 87. # of Guestbook Entries Connection and Usage Information. Social Network Analysis. 88. Online Status 89. Login Time 90. Usage 91. IP Address 92. Network 93. Operating System 94. Browser 95. Screen Size 96. Language Social Networks
21. Types of Data and Analysis Research Method Survey Research Surveys and Interviews Ethographic Research Observations, Field Studies Documentary Research Logfiles, Texts and Archives Social Networks Type of Data Attribute Ideational Relational Type of Analysis Variable Typological Network } Source: Scott, John. Social Network Analysis. Sage Publications. 2000. Paperback, ISBN: 0761963391 }
22. 1 User Profiles. (Name, Age, Links, Interests, Hobbies, City, Country, Category) 2 Videos (Headline, Content, Descriptions, Tags, Playlists) 3 Video Comments (Author, Text, Tags, Themes) 4 Ranking of Users and Channels (Views or Subscriptions by Time and Category) 5 Rankings of Videos (Ratings or Views by Time and Category) 6 Interaction (Friends, Subscription, Comments, FollowUps) Youtube. Relational Data. Social Network Analysis Social Networks
24. Betweenness Centrality Closeness Centrality Degree Flow Betweenness Centrality Centrality Eigenvector Centralization Clustering Coefficient Cohesion Contagion Attributes and Quantities. Social Network Analysis. Density Integration Path Length Radiality Reach Structural Equivalence Structural Hole Islands Social Networks
25. Inflow. Social Network Analysis. 2003. Social Networks Source: Valdis Krebs and David Krackhardt. Inflow/ Kite Network. 2003, Available: http://www.orgnet.com/sna.html
31. Gender Distribution in Percent and Age. StudiVZ. 2006/2008. Analysis Source: Hagen Fritsch. StudiVZ. Inoffizielle Statistikpräsentation. December 2006, Available: http://studivz.irgendwo.org/ and University of Applied Sciences Kaiserslautern. Analysis of Large Scale Communities. January 2008 5 2.5 7.5 10 15 2006 0 2006 Total 2006 12.5 2008 2008 Total 2008
32. 5 Male. Relationship Status in Percent and Age. StudiVz. 2008. Analysis Source: University of Applied Sciences Kaiserslautern. Analysis of Large Scale Communities. January 2008 2.5 0 Romance Open Relationship No Data In Relationship Married Single
33. 5 Female. Relationship Status in Percent and Age. StudiVz. 2008. Analysis Source: University of Applied Sciences Kaiserslautern. Analysis of Large Scale Communities. January 2008 2.5 0 Romance Open Relationship No Data In Relationship Married Single
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37. Die Lokalisten. Social Network. 2007. Social Network Analysis Source: Heinen, Felix. Datenvisualisierung eines sozialen Netzwerks. Die Lokalisten. University of Applied Sciences Nürnberg. Diploma Thesis. 2007, Available: http://www.felixheinen.de/020.html
38. Die Lokalisten. Social Network. 2007. Social Network Analysis Source: Heinen, Felix. Datenvisualisierung eines sozialen Netzwerks. Die Lokalisten. University of Applied Sciences Nürnberg. Diploma Thesis. 2007, Available: http://www.felixheinen.de/020.html
40. Thank you for your attention. I will gladly answer your questions. Prof. Hendrik Speck contact (at) hendrikspeck [dot] com University of Applied Sciences Kaiserslautern Information Architecture Lab Amerikastrasse 1 66482 Zweibrücken Tel: +49 6332 914 360 Skype: hendrikspeck Conclusion Contact Information
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