Title :
Communities in Social Networks
Author :
Krawczyk, Malgorzata J.
Author_Institution :
Fac. of Phys. & Appl. Comput. Sci., AGH Univ. of Sci. & Technol., Krakow, Poland
Abstract :
The results of two different clusterization methods applied to six social networks are presented. It is shown that elements classified together by the differential equation method, are also classified to the one community by the Newman method. It is also shown that even though for all analysed networks the cumulative node degree distribution is described by the stretched-exponential law, the distribution of the nodes among different functional types is not the same for all networks.
Keywords :
differential equations; pattern clustering; social networking (online); Newman method; clustering method; cumulative node degree distribution; differential equation; social networks; stretched-exponential law; Biometrics; Computer science; Differential equations; Frequency; Information analysis; Joining processes; Physics; Postal services; Social network services; Symmetric matrices;
Conference_Titel :
Biometrics and Kansei Engineering, 2009. ICBAKE 2009. International Conference on
Conference_Location :
Cieszyn
Print_ISBN :
978-0-7695-3692-7
Electronic_ISBN :
978-0-7695-3692-7
DOI :
10.1109/ICBAKE.2009.20
