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An Overview on User Profiling in Online Social Networks

by Vasanthakumar G. U., Sunithamma K., P. Deepa Shenoy, Venugopal K. R.
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 8
Year of Publication: 2017
Authors: Vasanthakumar G. U., Sunithamma K., P. Deepa Shenoy, Venugopal K. R.
10.5120/ijais2017451639

Vasanthakumar G. U., Sunithamma K., P. Deepa Shenoy, Venugopal K. R. . An Overview on User Profiling in Online Social Networks. International Journal of Applied Information Systems. 11, 8 ( Jan 2017), 25-42. DOI=10.5120/ijais2017451639

@article{ 10.5120/ijais2017451639,
author = { Vasanthakumar G. U., Sunithamma K., P. Deepa Shenoy, Venugopal K. R. },
title = { An Overview on User Profiling in Online Social Networks },
journal = { International Journal of Applied Information Systems },
issue_date = { Jan 2017 },
volume = { 11 },
number = { 8 },
month = { Jan },
year = { 2017 },
issn = { 2249-0868 },
pages = { 25-42 },
numpages = {9},
url = { https://www.ijais.org/archives/volume11/number8/960-2017451639/ },
doi = { 10.5120/ijais2017451639 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:04:34.927419+05:30
%A Vasanthakumar G. U.
%A Sunithamma K.
%A P. Deepa Shenoy
%A Venugopal K. R.
%T An Overview on User Profiling in Online Social Networks
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 11
%N 8
%P 25-42
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Advances in Online Social Networks is creating huge data day in and out providing lot of opportunities to its users to express their interest and opinion. Due to the popularity and exposure of social networks, many intruders are using this platform for illegal purposes. Identifying such users is challenging and requires digging huge knowledge out of the data being flown in the social media. This work gives an insight to profile users in online social networks. User Profiles are established based on the behavioral patterns, correlations and activities of the user analyzed from the aggregated data using techniques like clustering, behavioral analysis, content analysis and face detection. Depending on application and purpose, the mechanism used in profiling users varies. Further study on other mechanisms used in profiling users is under the scope of future endeavors.

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Index Terms

Computer Science
Information Sciences

Keywords

Behavior Analysis Content Analysis Face Detection Online Social Networks User Profiling