On social computing research collaboration patterns: a social network perspective

doi:10.1007/s11704-011-1173-9

Front Comput Sci

0, Vol.

Issue () : 122-130 https://doi.org/10.1007/s11704-011-1173-9

On social computing research collaboration patterns: a social network perspective

Tao WANG¹(

), Qingpeng ZHANG², Zhong LIU¹, Wenli LIU³, Ding WEN³

1. Science and Technology on Information Systems Engineering Lab, College of Information Systems and Management, National University of Defense and Technology, Changsha 410073, China; 2. Department of Systems and Industrial Engineering, University of Arizona, Tucson, AZ 85721, USA; 3. Military Computational Experiments and Parallel Systems Research Center, National University of Defense and Technology, Changsha 410073, China

Download: PDF(724 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

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.

Keywords social computing bibliographic analysis computational social science social network analysis

Corresponding Author(s): WANG Tao,Email:wangtao@nudt.edu.cn

Issue Date: 01 February 2012

Cite this article:

Tao WANG,Qingpeng ZHANG,Zhong LIU, et al. On social computing research collaboration patterns: a social network perspective[J]. Front Comput Sci, 0, (): 122-130.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-011-1173-9
https://academic.hep.com.cn/fcs/EN/Y0/V/I/122

1	Schuler D. Social computing. Communications of the ACM , 1994, 37(1): 28- 29 doi: 10.1145/175222.175223
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 doi: 10.1109/DS-RT.2009.36
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 doi: 10.1109/MC.2010.216
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
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 doi: 10.1109/ICMLC.2006.258375
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 doi: 10.1109/MIS.2011.69
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 doi: 10.1177/0165551504042802
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 doi: 10.1002/asi.4630240406
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 doi: 10.1177/053901883022002003
12	White H D, McCain K W. Visualizing a discipline: an author cocitation analysis of information science, 1972 - 1995. Journal of the American Society for Information Science , 1998, 49(4): 327-355 doi: 10.1002/(SICI)1097-4571(19980401)49:4<327::AID-ASI4>3.0.CO;2-4
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 doi: 10.1145/1772690.1772756
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 doi: 10.1145/1835804.1835837
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 doi: 10.1109/IJCNN.2009.5178967
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 doi: 10.1109/MIS.2010.136
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 doi: 10.1103/PhysRevE.64.025102
18	Tijssen R J W, Van Leeuwen T N. On generalising scientometric journal mapping beyond ISI’s journal and citation databases. Scientomet rics , 1955, 33(1): 93-116 doi: 10.1007/BF02020776
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 doi: 10.1145/1557019.1557108
20	Freeman L C. A set of measures of centrality based on betweenness. Sociometry , 1977, 40(1): 35-41 doi: 10.2307/3033543
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 doi: 10.1002/asi.20317
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 doi: 10.1109/MIS.2007.4338490
25	Cho J, Tomkins A. Guest editors’ introduction: social media and search. IEEE Internet Computing , 2007, 11(6): 13-15 doi: 10.1109/MIC.2007.130
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 doi: 10.1109/MIC.2010.39
27	Goolsby R, Curtis C. Social computing and cultural modeling. IEEE Intelligent Systems , 2011, 26(4): 29-31 doi: 10.1109/MIS.2011.73
28	Loreto V, Steels L. Social dynamics: emergence of language. Nature Physics , 2007, 3: 758-760 doi: 10.1038/nphys770
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 doi: 10.1109/MIS.2007.41
31	Hotho A, J?schke 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
34	Huberman B A. Crowdsourcing and attention. Computer , 2008, 41(11): 103-105 doi: 10.1109/MC.2008.450
35	Golder S A, Huberman B A. Usage patterns of collaborative tagging systems. Journal of Information Science , 2006, 32(2): 198-208 doi: 10.1177/0165551506062337
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 doi: 10.1016/j.biopsych.2006.07.015
37	Castellano C, Fortunato S, Loreto V. Statistical physics of social dynamics. Reviews of Modern Physics , 2009, 81: 591-646 doi: 10.1103/RevModPhys.81.591
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 doi: 10.1103/PhysRevE.64.016131
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 doi: 10.3758/CABN.7.2.140
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 doi: 10.1126/science.1167742
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
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 doi: 10.1109/ISI.2009.5137324
44	Zeng D, Chen H, Lusch R, Li S H. Social media analytics and intelligence. IEEE Intelligent Systems , 2010, 25(6): 13-16 doi: 10.1109/MIS.2010.151
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 doi: 10.1109/MIS.2010.104
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 doi: 10.1146/annurev.neuro.27.070203.144148
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 doi: 10.1017/S0033291704003915
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 doi: 10.1038/mp.2008.65
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 doi: 10.1073/pnas.122653799

[1]	Shiwei CHENG, Jialing WANG, Xiaoquan SHEN, Yijian CHEN, Anind DEY. Collaborative eye tracking based code review through real-time shared gaze visualization[J]. Front. Comput. Sci., 2022, 16(3): 163704-.
[2]	Wei DUAN, Xiaogang QIU. Fostering artificial societies using social learning and social control in parallel emergency management systems[J]. Front Comput Sci, 2012, 6(5): 604-610.

Viewed

Full text

Abstract

Cited

Shared

Discussed