Crawling and Detecting Community Structure in Online Social Networks Using Local Information
As Online Social Networks (OSNs) become an intensive subject of research for example in computer science, networking, social sciences etc., a growing need for valid and useful datasets is present. The time taken to crawl the network is however introducing a bias which should be minimized. Usual ways...
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Published in | NETWORKING 2012 pp. 56 - 67 |
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Main Authors | , , , |
Format | Book Chapter |
Language | English |
Published |
Berlin, Heidelberg
Springer Berlin Heidelberg
2012
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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