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The Influence Factors of Collective Intelligence Emergence in Knowledge Communities Based on Social Network Analysis

DOI: 10.4236/ijis.2019.91002, PP. 23-43

Keywords: Collective Intelligence, Knowledge Community, Social Network Analysis, Zhihu

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Abstract:

The advent of the age of Information shifts the environment we live in from off-line to on-line. The prospect of Collective Intelligence (CI) is promising. Based on this background, the aim of this paper is to discover the emergence mechanism and influence factors of CI in knowledge communities using the method of quantitative and qualitative analysis. On the basis of the previous research work, our model theorizes that the two dimensions of social network (i.e., interactive network structure and participant’s characteristics) affect two references of effectiveness (i.e. group knowledge production and participation of group decision). And this hypothetical model is validated with simulation data from “Zhihu” community. Our model has been useful since it offers some inspirations and directions to promote the level of CI in knowledge communities.

References

[1]  Mattingly, K. and Ponsonby, A.L. (2014) A Consideration of Group Work Processes in Modern Epidemiology. Annals of Epidemiology, 24, 319.
https://doi.org/10.1016/j.annepidem.2014.01.001
[2]  Muller, P. (1970) Collective Intelligence Tests and Educational Selection-Neuchatel Experiences 12 Years Later. Psychologie, 29, 194-202.
[3]  Surowiecki, J. (2004) The Wisdom of Crowds: Why the Many are Smarter than the Few. Little Brown, New York, 10-20.
[4]  Tapscott, D. and Williams, A.D. (2006) Wikinomics: How Mass Collaboration Changes Everything. Portfolio Hardcover.
[5]  Rheingold, H. and Rheingold, H. (1993) The Virtual Community: Homesteading on the Electronic Frontier. MIT Press, Cambridge, 1114.
[6]  Yang, M.W. (2014) Research on the Impact of Virtual Community Social Network Structure on Knowledge Sharing. Lanzhou University, Lanzhou.
[7]  Borgatti, S.P., Mehra, A., Brass, D.J., et al. (2009) Network Analysis in the Social Sciences. Science, 323, 892.
https://doi.org/10.1126/science.1165821
[8]  Fisher, L. (2009) The Perfect Swarm: The Science of Complexity in Everyday Life. Basic Books, New York.
[9]  Gan, Y.C. (2004) Research on Knowledge-Building & Collective Intelligence in Virtual Learning Community: Perspective on the Integration of Knowledge Management & e-Learning. East China Normal University, Shanghai.
[10]  Huang, X.B. and Zhou, Z.N. (2011) Realization of Collective Intelligence in the Environment of Web2.0. Documentation, Information & Knowledge, No. 6, 113-119.
[11]  Cai, M.S. and Chen, S.J. (2012) On Influence Factors of Collective Intelligence from the Perspective of Reflection Sociology. Academics in China, No. 4, 23-30.
[12]  Maciuliene, M. and Skarzauskiene, A. (2016) Emergence of Collective Intelligence in Online Communities. Journal of Business Research, 69, 1718-1724.
https://doi.org/10.1016/j.jbusres.2015.10.044
[13]  Colorni, A., Dorigo, M. and Maniezzo, V. (1991) Distributed Optimization by Ant Colonies. Ecal91-European Conference on Artificial Life, York, 20-24 July 2015.
[14]  Wasko, M.M.L. and Faraj S. (2005) Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice. MIS Quarterly, 29, 35-57.
https://doi.org/10.2307/25148667
[15]  Lars, J. and Lars, F. (2006) Why Do Users Contribute to Firm-Hosted User Communities? The Case of Computer-Controlled Music Instruments. Organization Science, 17, 45-63.
https://doi.org/10.1287/orsc.1050.0156
[16]  Wagner, C. and Vinaimont, T. (2010) Evaluating the Wisdom of Crowds. Proceedings of Issues in Information Systems, 11, 724-732.
[17]  Krause, S., James, R., Faria, J.J., et al. (2011) Swarm Intelligence in Humans: Diversity Can Trump Ability. Animal Behaviour, 81, 941-948.
https://doi.org/10.1016/j.anbehav.2010.12.018
[18]  Rheingold, H. (1993) The Virtual Community: Homesteading on the Electronic Frontier. MIT Press, Cambridge.
[19]  Song, W. (2015) Social Network Analysis on Social Q&A Communities Illustrated By the Case of Zhihu. Southwest Jiaotong University, Chengdu.
[20]  Wang, G., Gill, K., Mohanlal, M., et al. (2013) Wisdom in the Social Crowd: An Analysis of Quora. Proceedings of the 22nd International Conference on World Wide Web, Rio de Janeiro, 13-17 May 2013, 1341-1352.
[21]  Koh, J. and Kim, Y.G. (2004) Knowledge Sharing in Virtual Communities: An e-Business Perspective. Expert Systems with Applications, 26, 155-166.
https://doi.org/10.1016/S0957-4174(03)00116-7
[22]  Ardichvili, A., Page, V. and Wentling, T. (2003) Motivation and Barriers to Participation in Virtual Knowledge-Sharing Communities of Practice. Journal of Knowledge Management, 7, 64-77.
https://doi.org/10.1108/13673270310463626
[23]  Granovetter, M.S. (1973) The Strength of Weak Ties. American Journal of Sociology, 78, 1360-1380.
https://doi.org/10.1086/225469
[24]  Emirbayer, M. and Goodwin, J. (1994) Network Analysis, Culture, and the Problem of Agency. American Journal of Sociology, 99, 1411.
[25]  Jankowski-Lorek, M., Jaroszewicz, S., Ostrowski, L., et al. (2016) Verifying Social Network Models of Wikipedia Knowledge Community. Information Sciences, 339, 158-174.
https://doi.org/10.1016/j.ins.2015.12.015
[26]  Fu, L., Lv, B., Wu, Y., et al. (2009) Study on the Network Character of Relationship-Type Virtual Community. Mathematics in Practice and Theory, 2, 119-129.
[27]  He, X., Zhu, Y. and Wang, M. (2005) Knowledge Emergence and Complex Adaptability in Swarm Intelligence. Information and Control, 5, 50-56.
[28]  ATLAS Collaboration (2014) Measurement of Higgs Boson Production in the Diphoton Decay Channel in pp Collisions at Center-of-Mass Energies of 7 and 8 TeV with the ATLAS Detector. Physical Review D, 90, 25-43.
[29]  Zhu, T. (2011) Research on the Dynamical Mechanism of the Development of Peer Production-Baidu Encyclopedia Asa Example. South China University of Technology, Guangzhou.
[30]  Fu, C., Qian, S., Chen, J., et al. (2009) The Literature Review on Knowledge Production. Science & Technology Progress and Policy, 2, 155-160.
[31]  Li, Z., Duan, Z., Chen, G., et al. (2010) Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint. IEEE Transactions on Circuits & Systems I Regular Papers, 57, 213-224.
https://doi.org/10.1109/TCSI.2009.2023937
[32]  Wasserman, S. (1994) Social Network Analysis: Methods and Applications. Cambridge University Press, London.
https://doi.org/10.1017/CBO9780511815478
[33]  Scott, J. and Carrington, P.J. (2011) The SAGE Handbook of Social Network Analysis. SAGE Publications, New York.
[34]  Chang, Y.P. and Zhu, D.H. (2011) Understanding Social Networking Sites Adoption in China: A Comparison of Pre-Adoption and Post-Adoption. Computers in Human Behavior, 27, 1840-1848.
https://doi.org/10.1016/j.chb.2011.04.006
[35]  Tsai, W. and Ghoshal, S. (1998) Social Capital and Value Creation: The Role of Intrafirm Networks. Academy of Management Journal, 41, 464-476.
[36]  Yli-Renko, H., Autio, E. and Sapienza, H.J. (2001) Social Capital, Knowledge Acquisition, and Knowledge Exploitation in Young Technology-Based Firms. Strategic Management Journal, 22, 587-613.
https://doi.org/10.1002/smj.183
[37]  De Nooy, W., Mrvar, A. and Batagelj, V. (2011) Exploratory Social Network Analysis with Pajek. Cambridge University Press, London.
https://doi.org/10.1017/CBO9780511996368
[38]  Tirado, R. (2012) The Effect of Centralization and Cohesion on the Social Construction of Knowledge in Discussion Forums. Interactive Learning Environments, 23, 1-24.
[39]  Strongatz, S.H. (2001) Exploring Complex Networks. Nature, 410, 24-27.

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