Measuring the community value in online social networks

[1] A. Aleahmad, P. Karisani, M. Rahgozar and F. Oroumchian, OLFinder: Finding opinion leaders in online social
networks. Journal of Information Science, (2015) 1-16.
[2] A.L. Barabasi, and E. Bonabeau, Scale-free netwroks. Scientific American. 288, (2003) 60-69 .
[3] P. Basaras, D. Katsaros and L. Tassiulas, Detecting influential spreaders in complex, dynamic networks. Computer
46 (4), (2013) 24–29.
[4] V. Bhatia and R. Rani, An efficient algorithm for sampling of a single large graph. Tenth International Conference
on Contemporary Computing (IC3), (Noida, 2017) 1-6.[5] F. Bodendorf and C. Kaiser, Detecting opinion leaders and trends in online social networks. Proceedings of the
2nd ACM workshop on Social web search and mining, (ACM, 2009) 65-68.
[6] O. Boutemine and M. Bouguessa,Mining Community Structures in Multidimensional Networks. Acm Transactions
on Knowledge Discovery from Data. 11(4), (2017) 1–36 .
[7] R. Cazabet, P. Borgnat and P. Jensen, Enhancing Space-Aware Community Detection Using Degree Constrained
Spatial Null Model.Workshop on Complex Networks Comple Net. Springer, (2017) 47–55.
[8] J. H. Chin and K. Ratnavelu, Detecting community structure by using a constrained label propagation algorithm.
PLOS ONE 11, (2016) 1–21 .
[9] G. F. de Arruda,et al. Role of centrality for the identification of influential spreaders in complex networks. Physical
Review E 90, 032812 (2014).
[10] P. DeMeo, E. Ferrara, G. Fiumara and A. Provetti, Mixing local and global information for community detection
in large networks. J. Comput. Syst. Sci. 80, 72–87 (2014).
[11] J. Ding, X. He, J. Yuan, Y. Chen and B. Jiang, Community detection by propagating the label of center. Physica
A: Statistical Mechanics and its Applications 503, (2018) 675–686 .
[12] M.D. Domenico, A. Lima, P. Mougel and M. Musolesi, The Anatomy of a Scientific Rumor. Scientific Reports 3,
2980 (2013).
[13] N.B. Ellison, C. Steinfield and C. Lampe, The Benefits of Facebook “Friends:” Social Capital and College Students’
Use of Online Social Network Sites. Journal of Computer-Mediated Communication, 12 (4), (2007) 1143–1168.
[14] A. Guille, H. Hacid, C. Favre and D.A. Zighed, Information diffusion in online social networks: A survey. ACM
SIGMOD Record. 42 (2), (2013) 17-28.
[15] D. Hric and S. Fortunato, Community detection in networks: A user guide. Physics Reports, (2016) 659, 1-44 .
[16] A. Khushnood, et al. Popularity and Novelty Dynamics in Evolving Networks. Scientific reports 8, 6332 (2018).
[17] C. W. Loe and H. J. Jensen, Comparison of communities detection algorithms for multiplex. Physica A Statistical
Mechanics & Its Applications. 431, (2015) 29–45.
[18] M., McPherson, L. Smith-Lovin and J. M. Cook, Birds of a feather: homophily in social networks. Annu. Rev.
Sociol. 27, (2001) 415–444.
[19] F. Morone and H. A. Makse, Influence maximization in complex networks through optimal percolation. Nature
524, (2015) 65–68 .
[20] D. M. Romero, B. Meeder and J. Kleinberg, Differences in the mechanics of information diffusion across topics:
Idioms, political hashtags, and complex contagion on twitter. In: Proc. 20th Int. Conf. on World Wide Web,
WWW’ 11, (ACM, New York, NY, USA, 2011) 695–704 .
[21] F. Riquelme and P.C. Cantergiani, Measuring user influence on Twitter: A survey. Information Processing and
Management. Information Processing & Management. 52(5), (2016) 1-27 .
[22] L. Tang and H. Liu Graph Mining Applications to Social Network Analysis. Managing and Mining Graph Data.
40, (2010) 487-513.
[23] O. Tsur and A. Rappoport, What’s in a hashtag?: content based prediction of the spread of ideas in microblogging
communities. Proceedings of the fifth ACM international conference on Web search and data mining, (ACM, 2012)
643–652.
[24] Twitter, Inc. Twitter API Developer. http://dev.twitter.com/ (2017).
[25] W. Ulrich and N. J. Gotelli, Pattern detection in null model analysis. Oikos 122(1), (2013) 2–18.
[26] R. Venkatesan and V. A Kumar, customer lifetime value framework for customer selection and resource allocation
strategy. Journal of Marketing. 68, (2004) 106-125.
[27] R. Zafarani, M.A. Abbasi and H. Liu, Social media mining, an introduction (Cambridge, 2014).
[28] F. D. Zarandi and M. K. Rafsanjani, Community detection in complex networks using structural similarity.
Physica A: Statistical Mechanics and its Applications 503, (2018) 882–891 .