A Graph based Anomaly Node Detection in Socio-metric Networks
Bhuvaneswari A
, Sariga Ilango
Online Social network; Anomaly Node; Network Measurement; Behavior Detection;
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.
"A Graph based Anomaly Node Detection in Socio-metric Networks", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 11, page no.180 - 186, November-2018, Available :https://ijsdr.org/papers/IJSDR1811031.pdf
Volume 3
Issue 11,
November-2018
Pages : 180 - 186
Paper Reg. ID: IJSDR_180794
Published Paper Id: IJSDR1811031
Downloads: 000347185
Research Area: Engineering
Country: Chennai, Tamil Nadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
