Data Science and Intelligent Computing Techniques
The Influence of Geometric Configurations: Exploring Hexagonal and Triangular Cycles in Social Graphs
Authors: Chaitra Bhat, Charvi Bannur, Shria Guntunur, Shubangi Saxena and Bhaskarjyoti Das
Publishing Date: 13-12-2023
ISBN: 978-81-955020-2-8
Abstract
The prioritization of substructure analysis in diverse multi-feature network studies remains an ongoing and crucial challenge. The significance of triangles is deeply rooted in engineering and architecture, exemplified by structures such as bridges and pyramids, which symbolize strength and stability. Similarly, hexagons hold considerable importance in the realm of organic chemistry. In light of these observations, we intend to investigate the pertinence of these geometric configurations and propose innovative experimental approaches to assess the strength in diverse social network graphs. By doing so, we aim to enhance the algorithm’s overall credibility and contribute to the advancement of this field. This study has provided substantial evidence demonstrating that hexagonal cycles exert a significantly greater influence on the strength of social networks, with triangular cycles following closely behind.
Keywords
Feature Selection, GCN, Motifs, Network Analysis, Strength Analysis
Cite as
Chaitra Bhat, Charvi Bannur, Shria Guntunur, Shubangi Saxena and Bhaskarjyoti Das, "The Influence of Geometric Configurations: Exploring Hexagonal and Triangular Cycles in Social Graphs", In: Satyasai Jagannath Nanda and Rajendra Prasad Yadav (eds), Data Science and Intelligent Computing Techniques, SCRS, India, 2023, pp. 749-763. https://doi.org/10.56155/978-81-955020-2-8-65