Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Backstrom L, Huttenlocher D, Kleinberg J, Lan X (2006) Group formation in large social networks: membership, growth, and evolution. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining, KDD '06, Philadelphia, pp 44–54
Bródka P, Saganowski S, Kazienko P (2013) Ged: the method for group evolution discovery in social networks. Soc Netw Anal Min 3(1):1–14
Crandall D, Cosley D, Huttenlocher D, Kleinberg J, Suri S (2008) Feedback effects between similarity and social influence in online communities. In: Proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining, KDD '08, Las Vegas, pp 160–168. ACM
Fiedler M (1973) Algebraic connectivity of graphs. Czech Math J 23:298–305
Fortunato S (2010) Community detection in graphs. Phys Rep 486(3–5):75–174
Girvan M, Newman MEJ (2002) Community structure in social and biological networks. Proc Natl Acad Sci USA 99(12):7821–7826
Goldberg MK, Magdon-Ismail M, Thompson J (2012) Identifying long lived social communities using structural properties. In: ASONAM, Istanbul, pp 647–653
Karnstedt M, Hennessy T, Chan J, Hayes C (2010) Churn in social networks: a discussion boards case study. In: Proceedings of the 2010 IEEE second international conference on social computing, SOCIAL-COM '10, Minneapolis. IEEE Computer Society, pp 233–240
Kashoob S, Caverlee J (2012) Temporal dynamics of communities in social bookmarking systems. Soc Netw Anal Min 2(4):387–404
Kernighan BW, Lin S (1970) An efficient heuristic procedure for partitioning graphs. Bell Syst Tech J 49(1):291–307
Leskovec J, Kleinberg J, Faloutsos C (2007) Graph evolution: densification and shrinking diameters. ACM Trans Knowl Discov Data 1(1):1–41
Leskovec J, Huttenlocher D, Kleinberg J (2010) Predicting positive and negative links in online social networks. In: Proceedings of the 19th international conference on world wide web, Raleigh, pp 641–650
Manning CD, Schütze H (1999) Foundations of statistical natural language processing. MIT, Cambridge
Masson MH, Denoeux T (2006) Inferring a possibility distribution from empirical data. Fuzzy Sets Syst 157(3):319–340
Matsuo Y, Mori J, Hamasaki M, Ishida K, Nishimura T, Takeda H, Hasida K, Ishizuka M (2006) Polyphonet: an advanced social network extraction system from the web. In: Proceedings of the 15th international conference on world wide web, Edinburgh. ACM, pp 397–406
Newman MEJ (2004a) Detecting community structure in networks. Eur Phys J B Condens Matter Complex Syst 38(2):321–330
Newman MEJ (2004b) Fast algorithm for detecting community structure in networks. Phys Rev E 69(6):066,133
Palla G, Barabasi AL, Vicsek T (2007) Quantifying social group evolution. Nature 446:664–667
Scott JP (2012) Social network analysis. SAGE, London
Sun Y, Han J (2012) Mining heterogeneous information networks: principles and methodologies. Synthesis lectures on data mining and knowledge discovery. Morgan & Claypool Publishers, San Rafael
Toivonen R, Kovanen L, Kivelä M, Onnela JP, Saramäki J, Kaski K (2009) A comparative study of social network models: network evolution models and nodal attribute models. Soc Netw 31(4):240–254
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this entry
Cite this entry
Sarr, I., Missaoui, R. (2014). Temporal Analysis on Static and Dynamic Social Networks Topologies. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_387
Download citation
DOI: https://doi.org/10.1007/978-1-4614-6170-8_387
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6169-2
Online ISBN: 978-1-4614-6170-8
eBook Packages: Computer ScienceReference Module Computer Science and Engineering