Data reduction by removal of lurkers in OSN

Sumith Nireshwalya; Annappa Basava; Swapan Bhattacharya

doi:10.1109/TENCON.2013.6718499

Data reduction by removal of lurkers in OSN

Sumith Nireshwalya
, Annappa Basava
, Swapan Bhattacharya

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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.

Original language	English
Title of host publication	2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings
DOIs	https://doi.org/10.1109/TENCON.2013.6718499
Publication status	Published - 2013
Event	2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Xi'an, Shaanxi, China Duration: 22-10-2013 → 25-10-2013

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013
Country/Territory	China
City	Xi'an, Shaanxi
Period	22-10-13 → 25-10-13

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/TENCON.2013.6718499

Cite this

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title = "Data reduction by removal of lurkers in OSN",

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.",

author = "Sumith Nireshwalya and Annappa Basava and Swapan Bhattacharya",

year = "2013",

doi = "10.1109/TENCON.2013.6718499",

language = "English",

isbn = "9781479928262",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

booktitle = "2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings",

note = "2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 ; Conference date: 22-10-2013 Through 25-10-2013",

}

Nireshwalya, S, Basava, A & Bhattacharya, S 2013, Data reduction by removal of lurkers in OSN. in 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings., 6718499, IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013, Xi'an, Shaanxi, China, 22-10-13. https://doi.org/10.1109/TENCON.2013.6718499

Data reduction by removal of lurkers in OSN. / Nireshwalya, Sumith; Basava, Annappa; Bhattacharya, Swapan.
2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings. 2013. 6718499 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Basava, Annappa

AU - Bhattacharya, Swapan

PY - 2013

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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Data reduction by removal of lurkers in OSN

Abstract

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All Science Journal Classification (ASJC) codes

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