NDLI: Information Flow and Search in Unstructured Keyword Based Social Networks

Content Provider	IEEE Xplore Digital Library
Author	Garg, A. Bhattacharyya, P. Martel, C.U. Wu, S.F.
Copyright Year	2009
Abstract	In online social networks (OSNs), user connections can be represented as a network. The network formed has distinct properties that distinguish it from other network topologies. In this work, we consider an unstructured keyword based social network topology where each edge has a trust value associated with it to represent the mutual relationship between the corresponding nodes. Users have keywords as their profile attributes that have policies associated with them to define abstractly the flow of keyword information and the accessibility to other users in the network. We also address privacy concerns as outlined in works on future OSN architectures.This paper makes two key contributions. First, we develop an information flow model to disseminate keyword information when users add keywords as their profile attributes. Second, for keyword based queries, we design and develop a search algorithm to find users with the specified keywords in their profile attributes. It is based on a linear combination of topological distance and trust metrics. It is also dynamic in nature such that it adapts itself for each individual node during the search process. We observe an improvement in orders of magnitude when the search algorithm is compared to breadth first search.
Starting Page	1074
Ending Page	1081
File Size	958361
Page Count	8
File Format	PDF
ISBN	9781424453344
DOI	10.1109/CSE.2009.92
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Privacy Network topology Social Networks Social network services Peer to peer computing Heuristic algorithms Information Flow Model Information Search Data mining
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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