Efficiency centrality in time-varying graphs

[1] A. Bavelas, Communication in task-oriented groups, The Journal of the Acoustical Society of America, 22, 6 (1950) 725–730. ⇒710.1121/1.1906679Search in Google Scholar

[2] P. Bonacich, Power and centrality: A family of measure, American journal of sociology, 92, 5 (1987) 1170–1182. ⇒610.1086/228631Search in Google Scholar

[3] S. P. Borgatti, Centrality and network flow, Social networks, 27, 1 (2005) 55–71. ⇒610.1016/j.socnet.2004.11.008Search in Google Scholar

[4] E. C. Costa, A. B. Vieira, K. Wehmuth, A.r Ziviani, A. P. Couto Da Silva, Time centrality in dynamic complex networks, Advances in Complex Systems, 18, 07n08 (2015), p. 1550023. ⇒6, 1110.1142/S021952591550023XSearch in Google Scholar

[5] L. C. Freeman, A set of measures of centrality based on betweenness, Sociometry, 40, 1 (1977) 35–41. ⇒610.2307/3033543Search in Google Scholar

[6] L. C. Freeman, Centrality in social networks conceptual clarification, Social networks, 1, 3 (1978) 215–239. ⇒610.1016/0378-8733(78)90021-7Search in Google Scholar

[7] N. E. Friedkin, Theoretical foundations for centrality measures, Americal journal of Sociology, 96, 6 (1991) 1478–1504. ⇒610.1086/229694Search in Google Scholar

[8] S. Gao, J. Ma, Z. Chen, G. Wang, C. Xing, Ranking the spreading ability of nodes in complex networks based on local structure, Physica A: Statistical Mechanics and its Applications, 403, (2014) 130–147. ⇒610.1016/j.physa.2014.02.032Search in Google Scholar

[9] D. Kempe, J. Kleinberg,É. Tardos, Maximizing the spread of influence through a social network, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, ACM, (2003) 137–146. ⇒1010.1145/956750.956769Search in Google Scholar

[10] B. Kósa, M. Balassi, P. Englert, G Rácz, Z Pusztai, A. Kiss, A basic network analytic package for rapidminer, Rapid Miner World, (2014) ⇒6Search in Google Scholar

[11] V. Latora, M. Marchiori, Efficent behavior of small-world networks, Physical review letters, 87, 19, (2001), p. 198701. ⇒8, 910.1103/PhysRevLett.87.19870111690461Search in Google Scholar

[12] J. Leskovec, A. Krevl, SNAP Datasets: Stanford large network dataset collection, (2014), http://snap.stanford.edu/data ⇒11Search in Google Scholar

[13] M. Nekovee, Y. Moreno, G. Bianconi, M. Marsili, Theory of rumour spreading in complex social networks, Physica A: Statistical Mechanics and its Applications, 374, 1 (2007) 457–470. ⇒610.1016/j.physa.2006.07.017Search in Google Scholar

[14] M. EJ. Newman, Mathematics of networks, The new Palgrave dictionary of economics, (2016) 1–8. ⇒710.1057/978-1-349-95121-5_2565-1Search in Google Scholar

[15] L. Page, S. Brin, R. Motwani, T. Winograd, The pagerank citation ranking: Bringing order to the web, Technical report, Standord InfoLab, (1999) ⇒6Search in Google Scholar

[16] R. A. Rossi, N- K. Ahmed, The network data repository with interactive graph analytics and visualization, (2015), http://networkrepository.com ⇒11Search in Google Scholar

[17] Ch. Song, S. Havlin, H. A. Makse, Self-similarity of complex networks, Nature, 443, 7024, (2005), p. 392. ⇒610.1038/nature0324815674285Search in Google Scholar

[18] S. Wang, Y. Du, Y. Deng, A new measure of identifying influential nodes: Efficiency centrality, Communications in Nonlinear Science and Numerical Simulation, 47, (2017) 151–163. ⇒6, 8, 11, 1210.1016/j.cnsns.2016.11.008Search in Google Scholar

[19] K. Wehmuth, A. Ziviani, E. Fleury, A unifying model for representing time-varying graphs, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), IEEE, (2015) 1–10. ⇒1010.1109/DSAA.2015.7344810Search in Google Scholar

[20] A. Zaki, M. Attia, D. Hegazy, S. Amin, Comprehensive survey on dynamic graph models, International Journal of Advanced Computer Science and Applications, 7, 2 (2016) 573–582. ⇒610.14569/IJACSA.2016.070273Search in Google Scholar