Discovering bottlenecks entities in multi-layer social networks

References

• Boccaletti, S., Bianconi, G., Criado, R., Del Genio, C. I., Gómez-Gardenes, J., Romance, M., … & Zanin, M. The structure and dynamics of multilayer networks. Physics Reports, 544(1), 1-122 (2014). doi: 10.1016/j.physrep.2014.07.001
   PubMed Web of Science ®Google Scholar
• Battiston, F., Nicosia, V., & Latora, V. Structural measures for multiplex networks. Physical Review E, 89(3), 032804 (2014). doi: 10.1103/PhysRevE.89.032804
   Web of Science ®Google Scholar
• Easley, D., & Kleinberg, J. Networks, crowds, and markets: Reasoning about a highly connected world. Cambridge University Press. (2010).
   Google Scholar
• Freeman, L. C. Centrality in social networks conceptual clarification. Social networks, 1(3), 215-239 (1978). doi: 10.1016/0378-8733(78)90021-7
   Web of Science ®Google Scholar
• Cozzo, E., Kivelä, M., De Domenico, M., Solé, A., Arenas, A., Gómez, S., … & Moreno, Y. Clustering coefficients in multiplex networks. arXiv preprint arXiv:1307.6780 (2013).
   Google Scholar
• Halu, A., Mondragón, R. J., Panzarasa, P., & Bianconi, G. Multiplex pagerank. PloS one, 8(10), e78293 (2013). doi: 10.1371/journal.pone.0078293
   PubMed Web of Science ®Google Scholar
• Nicosia, V., Bianconi, G., Latora, V., & Barthelemy, M. Growing multiplex networks. Physical review letters, 111(5), 058701 (2013). doi: 10.1103/PhysRevLett.111.058701
   PubMed Web of Science ®Google Scholar
• Battiston, F., Nicosia, V., & Latora, V. Structural measures for multiplex networks. Physical Review E, 89(3), 032804(2014) doi: 10.1103/PhysRevE.89.032804
   Web of Science ®Google Scholar
• Cardillo, A., Gómez-Gardenes, J., Zanin, M., Romance, M., Papo, D., Del Pozo, F., & Boccaletti, S. Emergence of network features from multiplexity. Scientific reports, 3, 1344 (2013).
   Google Scholar
• Evelinag, https://github.com/evelinag/StarWars-socialnetwork/blob/master/networks/, 2015
   Google Scholar
• Mittal, R., & Bhatia, M. P. S. Analysis of Multiplex Social Networks Using Nature-Inspired Algorithms. Nature-Inspired Algorithms for Big Data Frameworks, 290 (2018).
   Google Scholar
• Mittal, R., & Bhatia, M. P. S. Anomaly Detection in Multiplex Networks. Procedia Computer Science, 125, 609-616 (2018). doi: 10.1016/j.procs.2017.12.078
   Google Scholar
• Mittal, R., & Bhatia, M. P. S. Mining top-k structural holes in multiplex networks. In Computing, Communication and Networking Technologies (ICCCNT), 2017 8th International Conference on (pp. 1-6). IEEE (2017, July).
   Google Scholar
• Mittal, R., & Bhatia, M. P. S. Cross-Layer Closeness Centrality in Multiplex Social Networks. In Computing, Communication and Networking Technologies (ICCCNT), 2018 9th International Conference on (pp. 1-5). IEEE (2018, July).
   Google Scholar
• Mittal, R., & Bhatia, M. P. S. Identifying Prominent Authors from Scientific Collaboration Multiplex Social Networks. In International Conference on Innovative Computing and Communications (pp. 289-296). Springer, Singapore (2019). doi: 10.1007/978-981-13-2324-9_29
   Google Scholar
• Albert Sole-Ribalt Solé-Ribalta, A., De Domenico, M., Gómez, S., & Arenas, A. Random walk centrality in interconnected multilayer networks. Physica D: Nonlinear Phenomena, 323, 73-79 (2016). doi: 10.1016/j.physd.2016.01.002
   Web of Science ®Google Scholar
• De Domenico, M., Solé-Ribalta, A., Omodei, E., Gómez, S., & Arenas, A. Ranking in interconnected multilayer networks reveals versatile nodes. Nature communications, 6, 6868 (2015).
   Google Scholar
• Kleineberg, K. K., Buzna, L., Papadopoulos, F., Boguñá, M., & Serrano, M. Á. Geometric correlations mitigate the extreme vulnerability of multiplex networks against targeted attacks. Physical review letters, 118(21), 218301 (2017). doi: 10.1103/PhysRevLett.118.218301
   PubMed Web of Science ®Google Scholar
• Amato, R., Díaz-Guilera, A., & Kleineberg, K. K. Interplay between social influence and competitive strategical games in multiplex networks. Scientific reports, 7(1), 7087 (2017).
   Google Scholar
• Abdullah, M. A., Bode, M., & Fountoulakis, N. Typical distances in a geometric model for complex networks. arXiv preprint arXiv:1506.07811 (2015).
   Google Scholar
• Gosak, M., Markovič, R., Dolenšek, J., Rupnik, M. S., Marhl, M., Stožer, A., & Perc, M. Network science of biological systems at different scales: a review. Physics of life reviews (2017).
   PubMed Web of Science ®Google Scholar
• Kivelä, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. Multilayer networks. Journal of complex networks, 2(3), 203-271 (2014). doi: 10.1093/comnet/cnu016
   Google Scholar
• Wang, Z., Wang, L., Szolnoki, A., & Perc, M. Evolutionary games on multilayer networks: a colloquium. The European physical journal B, 88(5), 124 (2015). doi: 10.1140/epjb/e2015-60270-7
   Web of Science ®Google Scholar
• De Domenico, M., Granell, C., Porter, M. A., & Arenas, A. The physics of spreading processes in multilayer networks. Nature Physics, 12(10), 901 (2016). doi: 10.1038/nphys3865
   Web of Science ®Google Scholar
• Bersanelli, M., Mosca, E., Remondini, D., Giampieri, E., Sala, C., Castellani, G., & Milanesi, L. Methods for the integration of multi-omics data: mathematical aspects. BMC bioinformatics, 17(2), S15 (2016). doi: 10.1186/s12859-015-0857-9
   PubMedGoogle Scholar
• De Domenico, M., Nicosia, V., Arenas, A., & Latora, V. Structural reducibility of multilayer networks. Nature communications, 6, 6864 (2015).
   Google Scholar
• Nicosia, V., & Latora, V. Measuring and modeling correlations in multiplex networks. Physical Review E, 92(3), 032805 (2015). doi: 10.1103/PhysRevE.92.032805
   Web of Science ®Google Scholar
• Yu, H., Kim, P. M., Sprecher, E., Trifonov, V., & Gerstein, M. The importance of bottlenecks in protein networks: correlation with gene essentiality and expression dynamics. PLoS computational biology, 3(4), e59 (2007). doi: 10.1371/journal.pcbi.0030059
   Web of Science ®Google Scholar