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Multi-mediated community structure in a socio-technical network

Published: 29 April 2012 Publication History

Abstract

Digital environments for networked learning and professional networks may not comprise one "community:" identification of clusters of affiliated groups of participants that potentially constitute embedded communities is an empirical matter, and one of interest to managers of large learning and professional networks. Also, these socio-technical networks are typically multi-mediated, in that they offer multiple means of participation, each with their own interactional affordances. Different communities may be using the multiple media in different ways. We have developed an analytic framework for extracting events from log files and representing interaction and affiliations at different granularities as needed for analysis. In this paper we show how bimodal networks of actors and media artifacts can be constructed in which directed arcs relate actors to the artifacts they read, write or edit, and how the resulting graphs can be used to detect community structures that extend across different media. We illustrate these ideas with a study that characterizes community structure within the Tapped In network of educational professionals, and how the associations between members of this network are distributed across media (chat rooms, discussion forums and file sharing).

References

[1]
Y.-Y. Ahn, J. P. Bagrow and S. Lehmann, Link communities reveal multiscale complexity in networks, Nature, 466 (2010), pp. 761--765.
[2]
I. E. Allen and J. Seaman, Growing by Degrees: Online Education in the United States, 2005, Alfred P. Sloan Foundation, Needham, MA, 2005.
[3]
T. Anderson, ed., The Theory and Practice of Online Learning, Second Edition, Athabasca University Press, Edmonton, Canada, 2008.
[4]
R. Bakhshandeh, M. Samadi, Z. Azimifar and J. Schaeffer, Degrees of separation in social networks, in D. Borrajo, M. Likhachev and C. L. Lopez, eds., Proceedings of the Fourth Annual Symposium on Combinatorial Search (SoCS-2011), Castell de Cardona, Barcelona, Spain, July 15--16, 2011., AAAI, Menlo Park, 2011, pp. 18--23.
[5]
S. A. Barab, R. Kling and J. H. Gray, Designing for Virtual Communities in the Service of Learning, Cambridge University Press, New York, 2004.
[6]
M. Bastian, S. Heymann and M. Jacomy, Gephi: An open source software for exploring and manipulating networks, International AAAI Conference on Weblogs and Social Media, 2009.
[7]
V. D. Blondel, J.-L. Guillaume, R. Lambiotte and E. Lefebvre, Fast unfolding of communities in large networks, Journal of Statistical Mechanics: Theory and Experiment, http://dx.doi.org/10.1088/1742-5468/2008/10/P10008 (2008).
[8]
U. Brandes, A faster algorithm for betweenness centrality, Journal of Mathematical Sociology, 25 (2001), pp. 163--177.
[9]
U. Brandes, D. Delling, M. Gaertler, R. Görke, M. Hoefer, Z. Nikoloski and D. Wagner, On modularity clustering, IEEE Transactions on Knowledge and Data Engineering, 20 (2008), pp. 172--188.
[10]
M. Castells, The Internet Galaxy: Reflections on the Internet, Business, and Society, Oxford University Press, 2001.
[11]
A. P. Cohen, The Symbolic Construction of Community, Routledge, New York, 1985.
[12]
J. N. Cummings, T. Finholt, I. Foster, C. Kesselman and K. A. Lawrence, Beyond Being There: A Blueprint for Advancing the Design, Development and Evaluation of Virtual Organizations (Final report from workshops on building effective virtual organizations) 2008.
[13]
T. S. Evans and R. Lambiotte, Line graphs of weighted networks for overlapping communities, arXiv:0912.4389v2 {physics.data-an}, 2010.
[14]
U. Farooq, P. Schank, A. Harris, J. Fusco and M. Schlager, Sustaining a community computing infrastructure for online teacher professional development: A Case Study of Designing Tapped In, Computer Supported Cooperative Work, 16 (2007), pp. 397--429.
[15]
D. R. Garrison and H. Kanuka, Blended learning: Uncovering its transformative potential in higher education, The Internet and Higher Education, 7 (2004), pp. 95--105.
[16]
M. S. Granovetter, The strength of weak ties, American Journal of Sociology, 78 (1973), pp. 1360--1380.
[17]
S. Gregory, Finding overlapping communities using disjoint community detection algorithms, Complex Networks, 207 (2009), pp. 47--61.
[18]
C. Haythornthwaite, Crowds and communities: Light and heavyweight models of peer production, Proceedings of the 42nd Hawai'i International Conference on the System Sciences (HICSS-42), January 5--8, 2009, Waikoloa, Hawai'i (CD-ROM), Institute of Electrical and Electronics Engineers, Inc. (IEEE), New Brunswick, 2009.
[19]
S. Joseph, V. Lid and D. D. Suthers, Transcendent Communities, in C. Chinn, G. Erkens and S. Puntambekar, eds., The Computer Supported Collaborative Learning (CSCL) Conference 2007, International Society of the Learning Sciences, New Brunswick, 2007, pp. 317--319.
[20]
V. Kaptelinin and B. A. Nardi, Acting With Technology: Activity Theory and Interaction Design, MIT Press, Cambridge, 2006.
[21]
R. Kling, Learning about information technologies and social change: The contribution of social informatics, The Information Society, 16 (2000), pp. 217--232.
[22]
M. Koch and J. Fusco, Designing for growth: Enabling communities of practice to develop and extend their work online, in C. Kimble and P. Hildreth, eds., Communities of Practice: Creating Learning Environments for Educators, Volume 2, Information Age Publishing, North Carolina, 2008, pp. 1--23.
[23]
B. Latour, Reassembing the Social: An Introduction to Actor-Network-Theory, Oxford University Press, New York, 2005.
[24]
J. Leskovec and E. Horvitz, Planetary-scale views on an instant-messaging network, Proceeding of the 17th international conference on World Wide Web (WWW '08), ACM. arXiv:0803.0939, New York, 2007.
[25]
C. Licoppe and Z. Smoreda, Are social networks technologically embedded? How networks are changing today with changes in communication technology, Social Networks, 27 (2005), pp. 317--335.
[26]
S. Martin, W. M. Brown, R. Klavans and K. Boyack, OpenOrd: An Open-Source Toolbox for Large Graph Layout, SPIE Conference on Visualization and Data Analysis (VDA), 2011.
[27]
G. Palla, I. Derényi, I. Farkas and T. Vicsek, Uncovering the overlapping community structure of complex networks in nature and society, Nature, 435 (2005), pp. 814--818.
[28]
P. Resnick, Beyond Bowling Together: SocioTechnical Capital, in J. M. Carroll, ed., Human-Computer Interaction in the New Millennium, ACM Press, Upper Saddle River, NJ, 2002, pp. 647--672.
[29]
M. Schlager, J. Fusco, M. Koch, V. Crawford and M. Phillips, Designing equity and diversity into online strategies to support new teachers, NECC 2003, Seattle, WA, 2003, July.
[30]
M. Schlager, J. Fusco and P. Schank, Evolution of an Online Education Community of Practice, in K. Renninger and W. Shumar, eds., Cambridge University Press, Building Virtual Communities, 2002, pp. 129--158.
[31]
M. Smith, C. Giraud-Carrier and N. Purser, Implicit affinity networks and social capital, Information Technology Management, 10 (2009), pp. 123--134.
[32]
D. D. Suthers and K.-H. Chu, Identifying mediators of socio-technical capital in a networked learning environment, in L. Dirckinck-Holmfeld, V. Hodgson, C. Jones, M. de Laat, D. McConnell and T. Ryberg, eds., Proceedings of the 7th International Conference on Networked Learning, Aalborg, Denmark, 2010, pp. 387--395.
[33]
D. D. Suthers, N. Dwyer, R. Medina and R. Vatrapu, A framework for conceptualizing, representing, and analyzing distributed interaction, International Journal of Computer Supported Collaborative Learning, 5 (2010), pp. 5--42.
[34]
D. D. Suthers and D. Rosen, A unified framework for multi-level analysis of distributed learning Proceedings of the First International Conference on Learning Analytics & Knowledge, Banff, Alberta, February 27-March 1, 2011, 2011.
[35]
F. Tönnies, Community and Civil Society (J. Harris & M. Hollis, Trans. from Gemeinschaft und Gesellschaft, 1887) Cambridge University Press, Cambridge, United Kingdom, 2001.
[36]
S. Wasserman and K. Faust, Social Network Analysis: Methods and Applications, Cambridge University Press, New York, 1994.
[37]
B. Wellman, A. Quan-Haase, J. Boase, W. Chen, K. Hampton, I. Diaz and K. Miyata, The social affordances of the internet for networked individualism, Journal of Computer-Mediated Communication, 8 (2003).
[38]
E. Wenger, R. A. McDermott and W. Snyder, Cultivating Communities of Practice: A Guide to Managing Knowledge, Harvard Business School Press, Boston, Mass., 2002.

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cover image ACM Conferences
LAK '12: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
April 2012
282 pages
ISBN:9781450311113
DOI:10.1145/2330601
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 29 April 2012

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Author Tags

  1. community structure
  2. distributed learning
  3. networked learning
  4. social network analysis
  5. socio-technical networks

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  • Research-article

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LAK 2012
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  • SIGWEB
  • TEKRI
  • Desire2Learn
  • EDUCAUSE
  • University of British Columbia
LAK 2012: Second International Conference on Learning Analytics and Knowledge
April 29 - May 2, 2012
British Columbia, Vancouver, Canada

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Overall Acceptance Rate 236 of 782 submissions, 30%

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  • (2018)A Framework for Interactive Exploratory Learning AnalyticsLearning and Collaboration Technologies. Learning and Teaching10.1007/978-3-319-91152-6_25(319-331)Online publication date: 30-May-2018
  • (2018)Learning NetworksEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4939-7131-2_67(1165-1173)Online publication date: 12-Jun-2018
  • (2017)Statistically Modeling Individual Students’ Learning Over Successive Collaborative Practice OpportunitiesJournal of Educational Measurement10.1111/jedm.1213754:1(123-138)Online publication date: 6-Mar-2017
  • (2016)Knowledge creation in an introductory technology education course2016 IEEE Integrated STEM Education Conference (ISEC)10.1109/ISECon.2016.7457535(215-217)Online publication date: Mar-2016
  • (2016)Learning NetworksEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4614-7163-9_67-1(1-8)Online publication date: 10-Dec-2016
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  • (2013)Technology-Mediated Relationships in a Socio-technical SystemProceedings of the 2013 46th Hawaii International Conference on System Sciences10.1109/HICSS.2013.511(771-780)Online publication date: 7-Jan-2013
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