IEEE Style Citation: K. Nasa, U. Sharma, “Analysis on Social Networking,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.5, pp.126-128, 2014.
MLA Style Citation: K. Nasa, U. Sharma "Analysis on Social Networking." International Journal of Computer Sciences and Engineering 2.5 (2014): 126-128.
APA Style Citation: K. Nasa, U. Sharma, (2014). Analysis on Social Networking. International Journal of Computer Sciences and Engineering, 2(5), 126-128.
BibTex Style Citation:
@article{Nasa_2014,
author = {K. Nasa, U. Sharma},
title = {Analysis on Social Networking},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2014},
volume = {2},
Issue = {5},
month = {5},
year = {2014},
issn = {2347-2693},
pages = {126-128},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=172},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=172
TI - Analysis on Social Networking
T2 - International Journal of Computer Sciences and Engineering
AU - K. Nasa, U. Sharma
PY - 2014
DA - 2014/05/31
PB - IJCSE, Indore, INDIA
SP - 126-128
IS - 5
VL - 2
SN - 2347-2693
ER -
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Abstract
Social Networking deals with connecting people through a common media. It builds links and a lot of algorithms are present to find the literatures in the links created. The most basic issue that is produced from this innovation is the abundance in the links. The concern is to figure out the interestingness in the links and the uniqueness it provides in each subject. We have used real world data for testing and creating output with interesting results.
Key-Words / Index Term
Social Netwroking, Social Networkers,links,predictors
References
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