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Adaptive social network construction using Gaussian mixture model

journal contribution
posted on 2011-01-01, 00:00 authored by X Guo, Y Xiang, Q Chen, W Wei
A Social network graph shows social interactions and relationships between individuals in a specific social environment, which is very helpful for analyzing social relationships, activities, structures, etc. The author quantized the strengths of social objects' relationships in social environment using an improved vector space model. Gaussian mixture model was employed to set the threshold for identifying social relationships adaptively and divide social subgroups automatically. According to the threshold, social network graph would be constructed based on performance measures. It is concluded that hidden social relationships can be discovered effectively by using this approach which is very flexible and adaptive for dynamic information feedback mechanism.

History

Journal

Information technology journal

Volume

10

Issue

12

Pagination

2252 - 2259

Publisher

Asian Network for Scientific Information

Location

Faisalabad, Pakistan

ISSN

1812-5638

eISSN

1812-5646

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2011, Asian Network for Scientific Information

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