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JRA6: Virtual Communities

JRA6: Virtual Communities. Chris Marsden (Sussex ). Objectives. to distill knowledge and best practices to develop social design methodologies for experimentation within virtual communities including user needs analysis and impact on design choices affecting future Internet

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JRA6: Virtual Communities

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  1. JRA6: Virtual Communities Chris Marsden (Sussex)

  2. Objectives • to distill knowledge and best practices • to develop social design methodologies for experimentation within virtual communities • including user needs analysis and impact on design choices affecting future Internet • (such as open standards, Quality of Service) • noting socio-economic, security and privacy concerns. • Outreach to the wider social science community examining virtual communities JRA6

  3. Tasks • R6.1 Overview of user needs analysis • R6.2 Mutual impact between virtual Internet and human social communities • R6.3. Exploring virtual community e-democracy • R6.4 Consensus building and e-voting in virtual communities • R6.5 Dissemination and collection of user cases catalogue JRA6

  4. Work Package 1: Overview of user needs analysis, plus draft catalogue of design responses to needs analysis Short summary document • explaining critical needs in various virtual community types • appendices dedicated to • a typology of communities, • degrees of virtuality, tools employed, • from which case studies selected for D6.3 (Task 5). JRA6

  5. Achievements • RA based in OXF, commenced work with Turin JRA6 workshop in M10. • RAs and post-docs for Stockholm, IIT CNR, OXF • All beginning M13. • Nucleus of workgroup in OXF Q2-2013: • Ben Z., OXF, CNR, NEXA, Sussex • Using mobility within EINS • Expect Lancs, Stockholm, Technicolor, UoA interaction JRA6

  6. Deliverables • D6.1 intensive drafting for M18. • D13.1 ‘Survey on Internet Science research (p14-20) • First joint workshop Oslo 21 August 2013 JRA6

  7. Links with other activities • Series of events and workshops • JRA (Thess 18 Jan, OXF 8 Mar) • JRA4/5 (Oslo 21 Aug, Turin 11 Sept) • also with external communities in 2013 • E.g. WebSci13 workshop 1 May (Barnett/Dunbar) • Many virtual community concerns tied into privacy by design JRA6

  8. Future Plans: Milestones JRA6

  9. R6.3/4 Exploring e-democracy/e-voting UNIBO lead Two correlated & complementary Internet roles consensus building process around new political actors, interest groups and/or public body initiatives. supporting emerging forms of political participation, new channel to make citizen’s voice heard. Online social networks and virtual communities as starting point for newborn political initiatives • JRA6

  10. Conclusions • D6.1: overview of needs analysis at M18. • Progress in Year 1 slowed by • lack of post-docs OXF and Stockholm, • Need to integrate Lancs, Technicolor • Loss (formally) of Delft, Warwick, LSE • All contributing informally • Better co-working in build-up to M18 • Helped by OXF workshop 8 March • Extended physical presence in OXF Q2 2013 JRA6

  11. Academic articles for D6.1: • Van Mieghem, P., 2011 Human psychology of common appraisal: the Reddit score, IEEE Transactions on Multimedia. • Van Mieghem, P., N. Blenn and C. Doerr, 2011 Lognormal Distribution in the Digg Online Social Network, European Physical Journal B, Vol. 83, No. 2, pp. 251-261. • Tang, S., N. Blenn, C. Doerr and P. Van Mieghem, 2011, Digging in the Digg Social News Website, IEEE Transactions on Multimedia, Vol. 13, No. 5, pp.1163-1175 at http://www.nas.ewi.tudelft.nl/people/Piet/papers/IEEE_Trans_MM_DiggOSN_2011.pdf • Doerr, Christian, Norbert Blenn, Siyu Tang and Piet Van Mieghem, 2012 Are Friends Overrated? A Study for the Social News Aggregator Digg.com, Computer Communications 35(7), pp. 796-809 at http://www-nas.et.tudelft.nl/people/Christian/publications/digg-friendsoverrated.pdf • Blenn, Norbert, Christian Doerr NasireddinShadravan, Piet Van Mieghem. 2012. How Much do Your Friends Tell About You? Reconstructing Private Information from the Friendship Graph, at http://www.nas.ewi.tudelft.nl/people/Piet/papers/SNS2012_how_much_do_friends_tell_about_you.pdf • Blenn, Norbert, KassandraCharalampidou, and Christian Doerr, 2012 Context-Sensitive Sentiment Classification of Short Colloquial Text, IFIP Networking • Blenn, Norbert, Bas van Kester, Christian Doerr and Piet Van Mieghem, Crawling and Detecting Community Structure in Online Social Networks using Local Information, IFIP Networking 2012 • Griffiths, Frances, Jonathan Cave, Felicity Boardman, Justin Ren, Teresa Pawlikowska, Robin Ball, Aileen Clarke, Alan Cohen, 2012, Social networks – The future for health care delivery. Social Science & Medicine Volume 75, Issue 12, Pages 2233-2241. • Brown, I. and Marsden C. [2013] Regulating Code: Good Governance and Better Regulation in the Information Age, MIT Press: Cambridge MA. 312pp. – note entire chapter case study of social networking sites (notably Facebook) • Marsden C. [2011] Internet Co-regulation: European Law, Regulatory Governance and Legitimacy in Cyberspace Cambridge University Press, 332pp. – note entire chapter case study of social networking sites • M. Conti, A. Passarella, F. Pezzoni, From Ego Network to Social Network Models Proc. ACM MobiOpp 2012, Zurich: http://cnd.iit.cnr.it/andrea/docs/socialcom12.pdf • Massimiliano La Gala, Valerio Arnaboldi, Andrea Passarella and Marco Conti, Ego-net Digger: a New Way to Study Ego Networks in Online Social Networks Proc. ACM SIGKDD International Workshop on Hot Topics on Interdisciplinary Social Networks Research (HotSocial 2012): http://cnd.iit.cnr.it/andrea/docs/hotsocial12.pdf JRA6

  12. Task 1: Overview of user needs analysis • Engaging with the individual virtual community types via both participants and community developers. • Developing a needs analysis based on methodologies such as • user experience, • anthropology, • sociology, • economics, • network analysis, • Explores the role of • bottom-up user-generated communities and • hierarchical or centrally controlled and coordinated communities, • in both commercial and community ownership. JRA6

  13. R6.1 Overview of user needs analysis UESSEX, With ULANC, IBBT, MLS Develop needs analysis based on methodologies such as  user experience, anthropology, sociology, economics, network analysis. Explore the role of communities bottom-up user-generated hierarchical or centrally coordinated in both commercial and community ownership. Series of events with relevant JRAs also with external communities. • JRA6

  14. R6.2 Mutual impact between virtual Internet and human social communities UESSEX, With CNR, ULANC, NKUA, MLS Analyze mutual dependence between virtual communities and underlying human social communities (not necessarily mediated by ICT). To what extent known behaviours emerge within these virtual communities as a result of properties like common interests/preferences. • JRA6

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