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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: A Graph based Anomaly Node Detection in Socio-metric Networks
Authors Name: Bhuvaneswari A , Sariga Ilango
Unique Id: IJSDR1811031
Published In: Volume 3 Issue 11, November-2018
Abstract: The challenge of detecting anomaly node behavior is the most vital isssue that complicate the social network graphs due to unstructured connectivity parameters in overlapped peer-peer online user communities. The socio-metric connectivity parameters are typically considered to determine the measurement error which is the divergence between the actual value of a node behavior and the observed value of that behavior in a social network graph. But it is practically difficult to identify the measurements of a particular concept as a summation of actual value plus error. In this paper, a graph based anomaly nodes are detected using the measurement scenarios namely False Positive nodes/edges, False Negative nodes/edges and False Aggregation/Disaggregation. The quantification of network measures such as Degree centrality, Clustering coefficient, Network constraint and Eigenvector centrality exhibit the effectiveness of anomaly node behavior detection accuracy. The anomaly nodes are detected and erroneous nodes are removed.
Keywords: Online Social network; Anomaly Node; Network Measurement; Behavior Detection;
Cite Article: "A Graph based Anomaly Node Detection in Socio-metric Networks", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.180 - 186, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811031.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR1811031
Registration ID:180794
Published In: Volume 3 Issue 11, November-2018
DOI (Digital Object Identifier):
Page No: 180 - 186
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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