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Advancement from Topic based to Information based Model: A Survey

by Jyoti Dua, Prashant Shukla
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 10
Year of Publication: 2015
Authors: Jyoti Dua, Prashant Shukla
10.5120/21578-4643

Jyoti Dua, Prashant Shukla . Advancement from Topic based to Information based Model: A Survey. International Journal of Computer Applications. 121, 10 ( July 2015), 30-33. DOI=10.5120/21578-4643

@article{ 10.5120/21578-4643,
author = { Jyoti Dua, Prashant Shukla },
title = { Advancement from Topic based to Information based Model: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 10 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number10/21578-4643/ },
doi = { 10.5120/21578-4643 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:08:06.451602+05:30
%A Jyoti Dua
%A Prashant Shukla
%T Advancement from Topic based to Information based Model: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 10
%P 30-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Online Social Network played a vital role in diffusing information at a very large scale, lot of work has been done in this area to explain and understand this phenomenon, classifying from predominant topic detection to information diffusion modeling, containing prominent diffuser's identification. This paper presents a survey of illustrative procedures that deal with these topics and propose a classification that reviews the state-of-art. The aim of this paper is to provide an extensive analysis of prevailing efforts around information diffusion in social networks is the aim of the paper. This survey is projected to assist scholars to understand it quickly and bring the enhancement in the present work.

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Index Terms

Computer Science
Information Sciences

Keywords

Frequency metric linear influence model online social network temporal variation.

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