International Journal of Computational Intelligence Systems

Volume 13, Issue 1, 2020, Pages 1699 - 1713

Link Prediction in Social Networks by Neutrosophic Graph

Authors
Rupkumar Mahapatra1, ORCID, Sovan Samanta2, *, ORCID, Madhumangal Pal1, ORCID, Qin Xin3, ORCID
1Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore, 721102, India
2Department of Mathematics, Tamralipta Mahavidyalaya, West Bengal, 721636, India
3Faculty of Science and Technology, University of the Faroe Islands, Tórshavn, 100, Faroe Islands
*Corresponding author. Email: ssamantavu@gmail.com
Corresponding Author
Sovan Samanta
Received 29 July 2020, Accepted 3 October 2020, Available Online 24 October 2020.
DOI
10.2991/ijcis.d.201015.002How to use a DOI?
Keywords
Social network; Neutrosophic graph; Link prediction; Modified RSM index
Abstract

The computation of link prediction is one of the most important tasks on a social network. Several methods are available in the literature to predict links in networks and RSM index is one of them. The RSM index is applicable in the fuzzy environment and it does not incorporate the notion of falsity and indecency parameters which occur frequently in uncertain environments. In the present method, the behaviors of the common neighbor and the other parameters, like nature of job, location, etc., are considered. In this paper, more parameters are included in the RSM index for making it more flexible and realistic and it is best fitted in the neutrosophic environment. Many important properties are studied for this modified RSM index. A small network from Facebook is considered to illustrate the problem.

Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
1699 - 1713
Publication Date
2020/10/24
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.201015.002How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Rupkumar Mahapatra
AU  - Sovan Samanta
AU  - Madhumangal Pal
AU  - Qin Xin
PY  - 2020
DA  - 2020/10/24
TI  - Link Prediction in Social Networks by Neutrosophic Graph
JO  - International Journal of Computational Intelligence Systems
SP  - 1699
EP  - 1713
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.201015.002
DO  - 10.2991/ijcis.d.201015.002
ID  - Mahapatra2020
ER  -