This slide deck discusses scaling community information systems. It provides background on RWTH Aachen University and the Advanced Community Information Systems group. It then discusses challenges in scaling community systems, including privacy, sustainability, legacy systems, and scaling to other communities/regions. It also presents the las2peer platform and its goals of creating distributed, reliable, and secure systems to support community services and handle information trustworthily.

1. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
1
Learning
Layers
This slide deck is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
Scaling Community Information
Systems
Ralf Klamma
Advanced Community Information Systems (ACIS)
RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de

2. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
2
Learning
Layers
RWTH Aachen University
• 512 professors, 4675 academic and 2443
non-academic colleagues
• Annual budget around 884 million Euros,
445 million Euros funded by third parties
• 1,250 spin-off businesses have created
around 30,000 jobs in the greater Aachen
region over the past 20 years
• 260 institutes in 9 faculties as Europe’s
leading institutions for science and research
• Currently around 40,375 students are enrolled
in over 130 academic programs
• Over 6,300 of them are international students
hailing from 120 different countries

3. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Responsive
Open
Community
Information
Systems
Community
Visualization
and
Simulation
Community
Analytics
Community
Support
WebAnalytics
WebEngineering
Advanced Community Information
Systems (ACIS) Group @ RWTH Aachen
Requirements
Engineering

4. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Agenda
CommunityInformationSystems
ScalingCommunityIS
UseCases
Conclusions&Outlook

5. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
5
Learning
Layers
A Brief History of
Community Information Systems
Digital Media
Technology
Communities of
Practice
(Web 2.0)
Business Processes
Meta
Data
Media
Traces
Semantic
Web
(XML, RDF,
Ontologien)
Multimedia
(XML, VRML,
DC, MPEG)
Organisational
Memories
(XML, HTML,
XTM)
Groupware /
E-Learning
(XML, LOM,
XML-RPC)
Workflows
(XML,
BPEL)
Web Services
(XML, WSDL,
SOAP,UDDI)
Klamma: Social Software and Community Information Systems, 2010
Social
Software
(XML, HTTP,
RSS)

6. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
The Fragmented Nature of the Web
The Web is a scale
free, fragmented
network
• Power Laws (Pareto Distribution etc.)
• 95 % of users are in the long tail
(Communities)
• Collaboration and Learning is based
on trust and passion
IslandsTendrils
IN Continent Central Core OUT Continent
Tubes
Barabasi: Linked – The New Science of Networks, 2002
Anderson: The Long Tail: Why the Future of
Business is Selling Less of More, 2006

7. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Communities of Practice
Communities of practice (CoP) are
groups of people who share a
concern or a passion for something
they do and who interact regularly to
learn how to do it better (Wenger,
1998)
Characterization of Large Scale
Professional Communities on the
Web
Shared expertise/practices over time
in similar domains leading
to clusters as a social learning
process
Deep community concerns about
sustainability, security, legacy, and
scaling
Struggling with existing social
software solutions by mashing-up &
extending existing solutions as well
as searching & researching new
solutions
How to support highly dynamic,
clustered communities?

8. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
ATLAS – A Reflective Community
Information Systems Design Approach
Communities of Practice
Clusters of
Community Networks
Community
Observation
Community
Modeling
CESE: Talmud as a Hypertext
SOCRATESX: Chat for
Communities of Aphasics
MECCA: Collaborative Movie
Annotations
VEL 2.0: Virtual
Entrepreneurship Lab
Virtual Campfire: MPEG-7
based Multimedia Management
ACIS: Cultural Heritage
Management
youTell: Non-linear Digital
Storytelling
ROLE – Self-regulated Learning
Communities
TellNet - Teacher Communities
AERCS/TELMAP - Scientific
Communities
GALA – Serious Gaming
Communities
Open Source Software
Development Communities
MobSOS – Real-time Mobile
Communities
LAYERS – Informal Learning
Clusters
Community Information
Systems

9. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
9
Learning
Layers
Challenges
Privacy &
Security
How can we share and how can we preserve privacy?
How trustworthy is the transfer of information in the infrastructure?
Sustainability What happened after the solution is developed?
Who is giving us support?
Legacy We need to integrate with our old system
We have found today a new fancy app we want to integrate immediately in our
ecosystem
Scaling Why it does not work in the UK?
It is perfect for us. We want to sell it to anyone else

10. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
las2peer Mission Statement
las2peer is a distributed, highly reliable and
secure platform for creating community
information systems and community services.
The main goal of las2peer is to provide a fast
and flexible way to create services which may
communicate with each other and their users
through standard protocols. The used and stored
information is handled in a trustworthy way and
within full control of the communities.

11. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
From LAS to las2peer and Beyond
Social
Software
LAS –
Integration of
Researchers
into
Communities
las2peer –
Integration of
Developers
and
Researchers
into
Communities
Societal
Software

12. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Related / Prior Work
Collaborative
Work/
Learning
BSCW – still
part of our own
CIS
Technology
Enhanced
Learning
Semantic
Web
Social
Machines
Trust
Social
Engineering
Nudges – UK
Nudge Unit –
Bundeskanzler-
amt – White
House
Crowdsourcing
Social
Computing
Social
Networking
Sites
User Behavior
Analysis
Web
Engineering
Peer-to-peer
protocols
Web service
architectures

13. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
13
Learning
Layers
Must-Haves (Domain-Independent)
Community Information Infrastructure
• User – Community – Medium - Artefact Management
• Cloud – p2p – IoT – Cyber-physical
Read/Write Technologies
• Micro-Blogging, Blogging, Messaging, …
• Tagging, Sharing, Commenting, Rating, …
Gamification & Marketplace Technologies
• Sustaining & Exploiting Communities
• Valorisation Models - Apps / Content / Practices
Simple Community Analytics Technologies

14. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
ACIS Offerings
End-User
Platform
• Scalable platform on cloud-based infrastructures
• Large-scale social requirements engineering with Requirements Bazaar
• Web-based, mobile, distributed interfaces with real-time collaboration support
Security &
Privacy
• Industrial strength single-sign-on solution OpenID Connect
• End-to-End encryption integrated
• Flexible and Configurable Delivery Model
Developer
Support
• Complete open source software friendly software engineering process
• Open source software development and community involvement
• Strong DevOps Support
Analytic
Support
• Advanced community analytics with community detection and expert identification
• Built-in qualitative and quantitative data acquisition and analytics
• Dynamic visual analytics in community dashboards

15. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Interdisciplinary Multidimensional
Model of Communities
■ Collection of CoP Digital Traces in a MediaBase
– Post-Mortem Crawlers
– Real-time, mobile, protocol-based (MobSOS)
– (Automatic) metadata generation by Social Network Analysis
■ Social Requirements Engineering with i* Framework
for defining goals and dependencies in CoP
Social Software
Cross-Media Social Network
Analysis on Wiki, Blog, Podcast,
IM, Chat, Email, Newsgroup, Chat
…
Web 2.0 Business
Processes (i*)
(Structural, Cross-media)
Members
(Social Network Analysis: Centrality,
Efficiency, Community Detection)
Network of Artifacts
Content Analysis on Microcontent, Blog entry, Message,
Burst, Thread, Comment, Conversation, Feedback (Rating)
Network of Members
Communities of practice
Media Networks

16. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Community SRE Processes–
i* Strategic Rationale

17. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Requirements Bazaar & LASSRE
(Klamma et al. 2010, Law et al. 2012, Renzel et al. 2013)
§ Available online: http://requirements-bazaar.org
§ Active use & development in Learning Layers Project
§ Connection to Learning Layers Issue Tracker
§ Further development taken over by István Koren
§ IEEE STCSN E-Letter vol. 2, no. 3:
§ “Large-Scale Social Requirements Engineering“ (LASSRE)
§ 4 Main Articles (RWTH, FIT, Universities of Aalto & Leicester)
§ 4 Short Technical Tool articles (Hannemann, Koren, Renzel)
§ Published Sept 6, 2014

18. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
18
Learning
Layers
ROLE Requirements Bazaar –
Community-aware Requirements Prioritization
Factors influencing
requirements ranking
User-controlled weighting
of ranking factors
Community-dependent
requirements ranking lists
http://requirements-bazaar.org

19. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Learning Layers: Scaling up
Technologies for Informal
Learning in SME Clusters
§ 7th Framework Programme
§ Integrated Project
§ Informal Mobile Learning
§ http://learning-layers.eu/
Projects
ROLE: Responsive Open Learning
Environments (until 2013)
§ IST 7th Framework Programme
§ Integrated Project
§ Scientific coordination
§ Self-Regulated & Social Learning
§ http://www.role-project.eu
BOOST – Buisness PerfOrmance
imprOvement through
individual employees Sklls
Training
§ LLL – Leornado Da Vinci
§ Exploitation of ROLE Results
§ http://www.boost-project.eu/
GaLA: Games and Learning
Alliance
§ IST 7th Framework Programme
§ Network of Excellence on Serious
Games & Learning
§ http://www.galanoe.eu/

20. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
SAGE: Serious Games Pathway
within the Undergraduate IT
Programs
§ EU TEMPUS Joint Project
§ Serious Games
§ http://www.sage.ps/
Projects
METIS: Meeting Teachers' Co-
Design Needs by Means of
Integrated Learning
Environments
§ EU LLP KA3 Multilateral Project
§ Learning Design
§ http://metis-project.org/
UMIC: Ultra High-Speed Mobile
Information and
Communication
§ DFG Excellence Cluster
§ Mobile Web Services and Cloud
Computing
§ http://www.umic.rwth-aachen.de/

21. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
21
Learning
Layers
Engineering & Analytics
Competences
• Network Models
• Social Network
Analysis
• Actor Network
Theory
• Communities of
Practice
• Expert
Identification
• Community
Detection
• Web Mining
• Recommender
Systems
• Multi Agent
Simulation
WebAnalytics
• Advanced
Web &
Multimedia
Technologies
• XMPP
• WebRTC
• HTML5
• MPEG-7
• Web
Services
• REST
• LAS
• Cloud
Computing
• Mobile
Computing
WebEngineering
• MediaBase
• MobSOS
• D-VITA
• Requirements Bazaar
• Direwolf
• AERCS/CAMRS
• yFiles
• Repast
• AERCS
• LAS & LAS2peer Web
Services
• ROLE SDK
• youTell Storytelling
• SeViAnno 2.0 Video
Annotation
Responsive
Open
Community
Information
Systems
Community
Visualization &
Simulation
Community
Analytics
Community
Support
Requirements Engineering
• Large-Scale Web-Based Social Requirements Engineering
• Agent and Goal Oriented i* Modeling
• Participatory Community Design
• Gamification & Social Software Methodologies
• Open Source Developement