Abstract
Co-author network is a typical example of dynamic complex network, which evolves and changes over time. One of the ways how to capture and describe the dynamics of the network is determination of Stationarity for detected communities in the network. In the paper, we have proposed the modified Stationarity, which is focused only on co-authors of a given author and not on the whole community to which the author belongs. Therefore, this modified Stationarity is defined for each author in the network and is perceived as dynamic centrality. The relations in homogeneous co-author network are not only set by the number of common publications, but are given by a context to terms used by the author extracted from the article titles. This dynamic centrality calculates with the evaluation by context of directed edges in co-author network. Such modified Stationarity gives us information about stability or dynamics of the author’s neighbourhood that influences her/him, or about the stability and dynamics of the author’s neighbourhood, which the author influences in relation to context.
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References
Backstrom, L.: Group formation in large social networks: membership, growth, and evolution, pp. 44–54. ACM Press (2006)
Barabâsi, A.-L., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., Vicsek, T.: Evolution of the social network of scientific collaborations. Physica A: Statistical Mechanics and its Applications 311(3), 590–614 (2002)
Belykh, I., di Bernardo, M., Kurths, J., Porfiri, M.: Evolving dynamical networks. Physica D: Nonlinear Phenomena 267(Complete), 1–6 (2014)
Ding, Y.: Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks. Journal of Informetrics 5(1), 187–203 (2011)
Federico, P., Pfeffer, J., Aigner, W., Miksch, S., Zenk, L.: Visual Analysis of Dynamic Networks Using Change Centrality, pp. 179–183. IEEE (2012)
Gupta, M., Aggarwal, C.C., Han, J., Sun, Y.: Evolutionary clustering and analysis of bibliographic networks. In: 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 63–70. IEEE (2011)
Joseph, A.C., Chen, G.: Composite centrality: A natural scale for complex evolving networks. Physica D: Nonlinear Phenomena 267, 58–67 (2014)
Koenig, M.D., Tessone, C.J.: Network evolution based on centrality. Physical Review E 84(5) (2011)
Lerman, K., Ghosh, R., Kang, J.H.: Centrality metric for dynamic networks. In: Proceedings of the Eighth Workshop on Mining and Learning with Graphs, pp. 70–77. ACM (2010)
Ley, M.: The DBLP computer science bibliography: Evolution, research issues, perspectives. In: Laender, A.H.F., Oliveira, A.L. (eds.) SPIRE 2002. LNCS, vol. 2476, pp. 1–10. Springer, Heidelberg (2002)
Y.-r. Lin. Facetnet: A framework for analyzing communities and their evolutions in dynamic networks. Social Networks, pp. 685–694 (2008)
Minks, S., Martinovic, J., Drázdilová, P., Slaninová, K.: Author cooperation based on terms of article titles from dblp. In: IHCI 2011 (2011)
Palla, G., Barabási, A.-L., Vicsek, T.: Quantifying social group evolution. Nature 446, 664–667 (2007)
Sun, Y., Barber, R., Gupta, M., Aggarwal, C.C., Han, J.: Co-author relationship prediction in heterogeneous bibliographic networks. In: 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 121–128. IEEE (2011)
Sun, Y., Tang, J., Han, J., Gupta, M., Zhao, B.: Community evolution detection in dynamic heterogeneous information networks. In: Proceedings of the Eighth Workshop on Mining and Learning with Graphs, MLG 2010, pp. 137–146. ACM, New York (2010)
Zweig, K.A., Kaufmann, M.: A systematic approach to the one-mode projection of bipartite graphs. Social Network Analysis and Mining 1(3), 187–218 (2011)
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Babskova, A., Martinovič, J., Dráždilová, P., Slaninová, K. (2014). Dynamic Centrality for Directed Co-author Network with Context. In: Saeed, K., Snášel, V. (eds) Computer Information Systems and Industrial Management. CISIM 2015. Lecture Notes in Computer Science, vol 8838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45237-0_17
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DOI: https://doi.org/10.1007/978-3-662-45237-0_17
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