A Cohesion Based Friend Recommendation System

Naser, Md. Abu; Hamid, Md. Nafiz

dc.contributor.author	Naser, Md. Abu
dc.contributor.author	Hamid, Md. Nafiz
dc.date.accessioned	2021-10-12T04:35:46Z
dc.date.available	2021-10-12T04:35:46Z
dc.date.issued	2012-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/1167
dc.description	Supervised by Md. Kamrul Hasan, PhD, Assistant professor, Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704. Bangladesh.	en_US
dc.description.abstract	Social network sites have attracted millions of users with the social revolution in Web 2.0. A social network is composed by communities of individuals or organizations that are connected by a common interest. Online social networking sites like Twitter, Facebook and Orkut are among the most visited sites in the Internet. In the social network sites, a user can register other users as friends and enjoy communication. However, the large amount of online users and their diverse and dynamic interests possess great challenges to support such a novel feature in online social networks. In this paper, we design a general friend recommendation framework based on cohesion after analyzing the current method of friend recommendation. The main idea of the proposed method is consisted of the following stages- measuring the link strength in a network and find out possible link on this network that is yet to be established; detecting communities among the network using modularity and recommending friends	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.title	A Cohesion Based Friend Recommendation System	en_US
dc.type	Thesis	en_US