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Circuit Detection in Web and Social Network Graphs

Publication Type : Conference Paper

Publisher : IEEE

Source : 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT)

Url : https://doi.org/10.1109/icicict46008.2019.8993288

Campus : Amritapuri

School : School of Computing

Year : 2019

Abstract : Social network is a source of large scale data, and much information can be obtained by analyzing this data. Social networks and web are generally described by a directed graph. These kinds of graphs exhibit structural properties such as circuit paths, overly and connectedness. Circuits in a graph has a vital role in defining the properties of the graph and also is a challenging factor in structured searching and analysis. In this paper, we present two circuit searching algorithms to detect relevant circuits from a directed graph.

Cite this Research Publication : Sreehari R, Rohan R Pillai, Indulekha T.S, Circuit Detection in Web and Social Network Graphs, 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), IEEE, 2019, https://doi.org/10.1109/icicict46008.2019.8993288

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