Please use this identifier to cite or link to this item: https://idr.l3.nitk.ac.in/jspui/handle/123456789/7598
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dc.contributor.authorNireshwalya, S.
dc.contributor.authorBasava, A.
dc.contributor.authorBhattacharya, S.
dc.date.accessioned2020-03-30T10:02:32Z-
dc.date.available2020-03-30T10:02:32Z-
dc.date.issued2013
dc.identifier.citationIEEE Region 10 Annual International Conference, Proceedings/TENCON, 2013, Vol., , pp.-en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7598-
dc.description.abstractWith the advent of internet, online social network is seen as playing a very important role in connecting people and a platform to share ideas. In the current scenario, given restriction on resources available for advertisement, the best place to sell one's product would definitely be these online social networks. The popularity of social network has influenced the computer researchers to ponder on the question on who are the people playing vital roles in information spread. This paper reviews the state of art work done previously in estimation of influence in Online Social Network(OSN) and proposes an innovative idea to improve the existing influence estimation algorithm in terms of search space and runtime. � 2013 IEEE.en_US
dc.titleData reduction by removal of lurkers in OSNen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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