Please use this identifier to cite or link to this item:
https://idr.l3.nitk.ac.in/jspui/handle/123456789/7598Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Nireshwalya, S. | |
| dc.contributor.author | Basava, A. | |
| dc.contributor.author | Bhattacharya, S. | |
| dc.date.accessioned | 2020-03-30T10:02:32Z | - |
| dc.date.available | 2020-03-30T10:02:32Z | - |
| dc.date.issued | 2013 | |
| dc.identifier.citation | IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2013, Vol., , pp.- | en_US |
| dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/7598 | - |
| dc.description.abstract | With 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.title | Data reduction by removal of lurkers in OSN | en_US |
| dc.type | Book chapter | en_US |
| Appears in Collections: | 2. Conference Papers | |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.