DocumentCode
3146362
Title
Communities in Social Networks
Author
Krawczyk, Malgorzata J.
Author_Institution
Fac. of Phys. & Appl. Comput. Sci., AGH Univ. of Sci. & Technol., Krakow, Poland
fYear
2009
fDate
25-28 June 2009
Firstpage
111
Lastpage
116
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICBAKE.2009.20
Filename
5223241
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