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Framework for Social Network Data Mining

by Gayana Fernando, Md Gapar, Mdjohar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 18
Year of Publication: 2015
Authors: Gayana Fernando, Md Gapar, Mdjohar

Gayana Fernando, Md Gapar, Mdjohar . Framework for Social Network Data Mining. International Journal of Computer Applications. 116, 18 ( April 2015), 7-10. DOI=10.5120/20434-2765

@article{ 10.5120/20434-2765,
author = { Gayana Fernando, Md Gapar, Mdjohar },
title = { Framework for Social Network Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 18 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { },
doi = { 10.5120/20434-2765 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:57:27.676971+05:30
%A Gayana Fernando
%A Md Gapar
%A Mdjohar
%T Framework for Social Network Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 18
%P 7-10
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

Social networks have become a vital component in personal life. People are addicted to social network features, updating their profile page and collaborating virtually with other members have become daily routines. Social networks contain massive collection of data. Web data mining is a new trend in the current research body. This conceptual paper introduces a framework that can be used to mine social network data. The proposed framework tries to handle the major limitations in current web mining frameworks by handling the unstructured and dynamic behavior of web data. Framework adopts the Hidden Markov Model to the data mining algorithm to predict the next status of web data.

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Index Terms

Computer Science
Information Sciences


Social Networks Web Data Mining Framework Social Network Analysis Hidden Markov Model