Abstract
This paper suggests a new approach to the constructive definition of user influence levels in social networks—the so-called actional model. According to the approach, the influence level of a user is calculated on the basis of their actions taking into account the goals of a control subject (a Principal). An example illustrates how the actional model can be applied to find the influence level of users in a real social network on the assumption of available initial data.
Similar content being viewed by others
References
Aggarwal, C.C., Social Network Data Analytics, Boston: Kluwer, 2011.
Everton, S.F., Disrupting Dark Networks (Structural Analysis in the Social Sciences), Cambridge: CambridgeUniv. Press, 2012.
Gubanov, D.A. and Chkhartishvili, A.G., A Conceptual Approach to Online Social Networks Analysis, Upravlen. Bol’sh. Sist., 2013, vol. 45, pp. 222–236.
Hubbell, C., An Input-Output Approach to Clique Identification, Sociometry, 1965, vol. 28, pp. 377–399.
Freeman, L.C., A Set of Measure of Centrality Based on Betweenness, Sociometry, 1977, vol. 40, pp. 35–41.
Agarwal, N., Liu, H., Tang, L., and Yu, P.S., Identifying the Influential Bloggers in Community, Proc. 1st ACM Int. Conf. on Web Search and Data Mining, 2008, pp. 207–217.
Weng, J., Lim, E.-P., Jiang, J., and He, Q., Twitterrank: Finding Topic-sensitive Influential Twitterers, Proc. Third Int. Conf. on Web Search and Web Data Mining, 2010, pp. 261–270.
Akritidis, L., Katsaros, D., and Bozanis, P., Identifying Influential Bloggers: Time Does Matter, Proc.2009 IEEE/WIC/ACM Int. Joint Conf. on Web Intelligence and Intelligent Agent Technology, 2009, pp. 76–83.
Gubanov, D.A., Novikov, D.A., and Chkhartishvili, A.G., Models of Influence in Social Networks, Upravlen. Bol’sh. Sist., 2009, vol. 27, pp. 205–281.
Friedkin, N.E. and Johnsen, E.C., Social Influence Network Theory: A Sociological Examination ofGroup Dynamics, Cambridge: Cambridge Univ. Press, 2011.
Gubanov, D.A., Novikov, D.A., and Chkhartishvili, A.G., Sotsial’nye seti: modeli informatsionnogovliyaniya, upravleniya i protivoborstva (Social Networks: Models of Informational Influence, Control,and Confrontation), Moscow: Fizmatlit, 2010.
Kempe, D., Kleinberg, J., and Tardos, E., Maximizing the Spread of Influence through a Social Network, Proc. 9th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 2003, pp. 137–146.
Granovetter, M., Threshold Models of Collective Behavior, Am. J. Sociology, 1978, vol. 83, pp. 1420–1443.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © D.A. Gubanov, A.G. Chkhartishvili, 2014, published in Problemy Upravleniya, 2014, No. 4, pp. 20–25.
Rights and permissions
About this article
Cite this article
Gubanov, D.A., Chkhartishvili, A.G. An actional model of user influence levels in a social network. Autom Remote Control 76, 1282–1290 (2015). https://doi.org/10.1134/S0005117915070139
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0005117915070139