article

On social computing research collaboration patterns: a social network perspective

Authors:

Qingpeng Zhang,

Ding WenAuthors Info & Claims

Frontiers of Computer Science in China, Volume 6, Issue 1

Pages 122 - 130

Published: 01 February 2012 Publication History

Abstract

The field of social computing emerged more than ten years ago. During the last decade, researchers from a variety of disciplines have been closely collaborating to boost the growth of social computing research. This paper aims at identifying key researchers and institutions, and examining the collaboration patterns in the field. We employ co-authorship network analysis at different levels to study the bibliographic information of 6 543 publications in social computing from 1998 to 2011. This paper gives a snapshot of the current research in social computing and can provide an initial guidance to new researchers in social computing.

References

[1]

Schuler D. Social computing. Communications of the ACM, 1994, 37(1): 28-29.

Digital Library

[2]

Wikiapedia. Social computing. http://en.wikipedia.org/wiki/Social_computing

[3]

Wang B, Hou B, Yao Y, Yan L. Human flesh search model incorporating network expansion and gossip with feedback. In: Proceedings of 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications. 2009, 82-88.

Digital Library

[4]

Wang F Y, Zeng D, Hendler J A, Zhang Q, Feng Z, Gao Y, Wang H, Lai G. A study of the human flesh search engine: crowd-powered expansion of online knowledge. Computer, 2010, 43(8): 45-53.

Digital Library

[5]

Sun H, De Florio V, Gui N, Blondia C. Towards building virtual community for ambient assisted living. In: Proceedings of 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing. 2007, 556-561.

Digital Library

[6]

Liu Z, Yang D S, Zhang W M, Zhu C, Huang J C. Modeling information grid as human organization. In: Proceedings of IEEE International Conference on Machine Learning and Cybernetics. 2006, 4544-4550.

[7]

Liu Z, Yang D, Wen D, Zhang W, Mao W. Cyber-physical-social systems for command and control. IEEE Intelligent Systems, 2011, 26(4): 92-96.

Digital Library

[8]

Easley D, Kleinberg J. Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge: Cambridge University Press, 2010.

[9]

Garfield E. Historiographic mapping of knowledge domains literature. Journal of Information Science, 2004, 30(2): 119 - 145.

[10]

Small H. Co-citation in the scientific literature: a new measure of the relationship between two documents. Journal of the American Society for Information, 1973, 24(4): 265-269.

[11]

Callon M, Courtial J P, Turner W A, Bauin S. From translations to problematic networks: an introduction to co-word analysis. Social Sciences Information, 1983, 22(2): 191-235.

[12]

White H D, McCain K W. Visualizing a discipline: an author co-citation analysis of information science, 1972-1995. Journal of the American Society for Information Science, 1998, 49(4): 327-355.

Digital Library

[13]

Leskovec J, Huttenlocher D, Kleinberg J. Predicting positive and negative links in online social networks. In: Proceedings of 19th International Conference on World Wide Web. 2010, 641-650.

Digital Library

[14]

Lichtenwalter R N, Lussier J T, Chawla N V. New perspectives and methods in link prediction. In: Proceedings of 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2010, 243-252.

[15]

King I, Li J, Chan K T. A brief survey of computational approaches in social computing. In: Proceedings of 2009 International Joint Conference on Neural Networks. 2009, 1625-1632.

[16]

Zhang Q, Feng Z, Li X, Zheng X, Zhong L. 25 Years of Collaborations in IEEE Intelligent Systems. IEEE Intelligent Systems, 2010, 25(6): 67-75.

Digital Library

[17]

Newman M E J. Clustering and preferential attachment in growing networks. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 2001, 64(2): 025102.

[18]

Tijssen R J W, Van Leeuwen T N. On generalising scientometric journal mapping beyond ISI's journal and citation databases. Scientometrics, 1955, 33(1): 93-116.

[19]

Tang J, Sun J, Wang C, Yang Z. Social influence analysis in large-scale networks. In: Proceedings of 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2009, 807-816.

Digital Library

[20]

Freeman L C. A set of measures of centrality based on betweenness. Sociometry, 1977, 40(1): 35-41.

[21]

Wasserman S, Faust K. Social Network Analysis: Methods and Applications. Cambridge: Cambridge University Press, 1994.

[22]

Chen C. CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 2006, 57(3): 359-377.

Digital Library

[23]

Borgatti S P, Everett M G, Freeman L C. Ucinet for Windows: Software for Social Network Analysis. Harvard: Analytic Technologies, 2002.

[24]

Zeng D, Wang F Y, Carley K M. Guest editors' introduction: social computing. IEEE Intelligent Systems, 2007, 22(5): 20-22.

Digital Library

[25]

Cho J, Tomkins A. Guest editors' introduction: social media and search. IEEE Internet Computing, 2007, 11(6): 13-15.

Digital Library

[26]

Liu H, Yu P S, Agarwal N, Suel T. Guest editors' introduction: social computing in the blogosphere. IEEE Internet Computing, 2010, 14(2): 12-14.

Digital Library

[27]

Goolsby R, Curtis C. Social computing and cultural modeling. IEEE Intelligent Systems, 2011, 26(4): 29-31.

Digital Library

[28]

Loreto V, Steels L. Social dynamics: emergence of language. Nature Physics, 2007, 3: 758-760.

[29]

Loreto V, Baronchelli A, Mukherjee A, Puglisi A, Tria F. Statistical physics of language dynamics. Journal of Statistical Mechanics: Theory and Experiment, 2011.

[30]

Wang F Y, Carley K M, Zeng D, Mao W. Social computing: from social informatics to social intelligence. IEEE Intelligent Systems, 2007, 22(2): 79-83.

Digital Library

[31]

Hotho A, Jäschke R, Schmitz C, Stumme C. Information retrieval in folksonomies: search and ranking. Semantic Web: Research and Applications. 2006, 411-426.

[32]

Zeng D, Li H Q. How useful are tags? -- an empirical analysis of collaborative tagging for web page recommendation. In: Proceedings of IEEE ISI 2008 PAISI, PACCF, and SOCO International Workshops on Intelligence and Security Informatics. 2008, 320-330.

[33]

Cheok A D, Yang X, Ying Z Z, Billinghurst M, Kato H. Touch-space: mixed reality game space based on ubiquitous, tangible, and social computing. Personal and Ubiquitous Computing, 2002, 6(5-6): 430-442.

Digital Library

[34]

Huberman B A. Crowdsourcing and attention. Computer, 2008, 41(11): 103-105.

Digital Library

[35]

Golder S A, Huberman B A. Usage patterns of collaborative tagging systems. Journal of Information Science, 2006, 32(2): 198-208.

Digital Library

[36]

Domes G, Heinrichs M, Michel A, Berger C, Herpertz S C. Oxytocin improves "mind-reading" in humans. Biological Psychiatry, 2007, 61(6): 731-733.

[37]

Castellano C, Fortunato S, Loreto V. Statistical physics of social dynamics. Reviews of Modern Physics, 2009, 81: 591-646.

[38]

Newman M E J. Scientific collaboration networks. I. Network construction and fundamental results. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 2001, 64(1): 016131.

[39]

Killgore W D S, Yurgelun-Todd D A. Neural correlates of emotional intelligence in adolescent children. Cognitive, Affective & Behavioral Neuroscience, 2007, 7(2): 140-151.

[40]

Lazer D, Pentland A, Adamic L, Aral S, Barabasi A L, Brewer D, Christakis N, Contractor N, Fowler J, Gutmann M, Jebara T, King G, Macy M, Roy D, Van Alstyne M. Computational Social Science. Science, 2009, 323(5915): 721-723.

[41]

Li X, Zeng D, Mao W, Wang F Y. Online communities: a social computing perspective. In: Proceedings of IEEE ISI 2008 PAISI, PACCF, and SOCO International Workshops on Intelligence and Security Informatics. 2008, 355-365.

[42]

Li X, Mao W, Zeng D, Su P, Wang F Y. Performance evaluation of classification methods in cultural modeling. In: Proceedings of 2009 IEEE International Conference on Intelligence and Security Informatics. 2009, 248-250.

Digital Library

[43]

Peng J, Zeng D. Topic-based web page recommendation using tags. In: Proceedings of 2009 IEEE International Conference on Intelligence and Security Informatics. 2009, 269-271.

Digital Library

[44]

Zeng D, Chen H, Lusch R, Li S H. Social media analytics and intelligence. IEEE Intelligent Systems, 2010, 25(6): 13-16.

Digital Library

[45]

Wang F Y, Zeng D, Hendler J A, Zhang Q, Feng Z, Gao Y, Wang H, Lai G. A study of the human flesh search engine: crowd-powered expansion of online knowledge. Computer, 2010, 43(8): 45-53.

Digital Library

[46]

Li X, Mao W, Zeng D, Wang F Y. Agent-based social simulation and modeling in social computing. In: Proceedings of IEEE ISI 2008 PAISI, PACCF, and SOCO International Workshops on Intelligence and Security Informatics. 2008, 401-412.

[47]

Wang F Y. The emergence of intelligent enterprises: from CPS to CPSS. IEEE Intelligent Systems, 2010, 25(4): 85-88.

Digital Library

[48]

Insel T R, Fernald R D. How the brain processes social information: searching for the social brain. Annual Review of Neuroscience, 2004, 27: 697-722.

[49]

Nelson E E, Leibenluft E, McClure E B, Pine D S. The social reorientation of adolescence: a neuroscience perspective on the process and its relation to psychopathology. Psychological Medicine, 2005, 35(2): 163-174.

[50]

Phillips M L, Ladouceur C D, Drevets W C. A neural model of voluntary and automatic emotion regulation: implications for understanding the pathophysiology and neurodevelopment of bipolar disorder. Molecular Psychiatry, 2008, 13: 833-857.

[51]

Girvan M, Newman M E J. Community structure in social and biological networks. Proceedings of the National Academy of Sciences of the United States of America, 2002, 99(12): 7821-7826.

Cited By

Cai WHe FLv XCheng Y(2021)A semi-transparent selective undo algorithm for multi-user collaborative editorsFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-020-9518-x15:5Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1007/s11704-020-9518-x
Gaskó NLung RSuciu M(2018)A new network model for the study of scientific collaborationsScientometrics10.1007/s11192-016-1968-4108:2(613-632)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1007/s11192-016-1968-4

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cover image Frontiers of Computer Science in China

Frontiers of Computer Science in China Volume 6, Issue 1

February 2012

130 pages

ISSN:1673-7350

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Copyright © Copyright © 2012 Higher Education Press and Springer-Verlag Berlin Heidelberg.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 February 2012

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Cited By

Cai WHe FLv XCheng Y(2021)A semi-transparent selective undo algorithm for multi-user collaborative editorsFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-020-9518-x15:5Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1007/s11704-020-9518-x
Gaskó NLung RSuciu M(2018)A new network model for the study of scientific collaborationsScientometrics10.1007/s11192-016-1968-4108:2(613-632)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1007/s11192-016-1968-4

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