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Social Networking Analysis

S. Chahar1

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-5 , Page no. 159-163, May-2014

Online published on May 31, 2014

Copyright © S. Chahar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. Chahar, “Social Networking Analysis,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.5, pp.159-163, 2014.

MLA Style Citation: S. Chahar "Social Networking Analysis." International Journal of Computer Sciences and Engineering 2.5 (2014): 159-163.

APA Style Citation: S. Chahar, (2014). Social Networking Analysis. International Journal of Computer Sciences and Engineering, 2(5), 159-163.

BibTex Style Citation:
@article{Chahar_2014,
author = {S. Chahar},
title = {Social Networking Analysis},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2014},
volume = {2},
Issue = {5},
month = {5},
year = {2014},
issn = {2347-2693},
pages = {159-163},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=179},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=179
TI - Social Networking Analysis
T2 - International Journal of Computer Sciences and Engineering
AU - S. Chahar
PY - 2014
DA - 2014/05/31
PB - IJCSE, Indore, INDIA
SP - 159-163
IS - 5
VL - 2
SN - 2347-2693
ER -

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Abstract

In today�s day and age, a rapid proliferation of technology has enabled efficient global communication. As a result, the last decade has seen social networking emerge as the backbone of global interactions. At the kernel of this advent, lies the concept of networks. Networks are arrangements of interconnections among a variety of entities. From this we can deduce that social networks are social structures comprising individuals and the interactions they have with each other. The computational analysis of these networks is known as social network analysis.

Key-Words / Index Term

Social Network Analysis, Directed Acyclic Graph, Statistical Relational Learning

References

[1] Hierarchical structure and the prediction of missing links in networks by Aaron Clauset, Christopher Moore, M. E. J. Newman3.
[2] Predicting Hierarchical Structure in Small World Social Networks by Hussain, Dil Muhammed Akbar.
[3] Link Prediction In Social Networks by Prof. William H. Hsu.
[4] Networks, Crowds, and Markets: Reasoning about a Highly Connected World by David Easley and Jon Kleinberg. Cambridge University Press, 2010.
[5] The Link-Prediction Problem for Social Networks by David Liben-Nowell and Jon Kleinberg.
[6] Adamic, L.A., & Adar, E. (2003). Friends and neighbours on the Web. Social Networks, 25(3), 211�230.
[7] Statistical Relational Learning: A Tutorial by Lise Getoor University of Maryland, College Park ECML/PKDD 2007 Tutorial.
[8] Link prediction problem for soc net by David Liben-Nowell n Jon Kleinberg.
[9] Clauset, A., Moore, C., and Newman, M. E. J. Hierarchical structure and the prediction of missing links in networks.
[10] Citation: Social Network Analytics by Elena Pupazan.
[11] Emergence of global status hierarchy in social networks by Yue Chen, Jia Ji, Yizheng Liao.
[12] Ahmed, Elmagarmid, and Ipeirotis, Panagiotis G., and Verykios, Vassilios. (2007) Duplicate Record Detection: A Survey.
[13] Link prediction in social network by Muhammad Al Hassan n Muhammad J Zaki.