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Identifying Core-Periphery Structures in Networks via Artificial Ants
Imran Ansari, Qazi J Azhad, Niteesh Sahni
Core periphery structure represents a meso-scale structure in networks, characterized by a dense interconnection of core nodes and sparse connections among peripheral nodes. In thi…
Exploring the core-periphery and community structure in the financial networks through random matrix theory
Pawanesh, Imran Ansari, Niteesh Sahni
In finance, Random Matrix Theory (RMT) is an important tool for filtering out noise from large datasets, revealing true correlations among stocks, enhancing risk management and por…
Uncovering the hidden core-periphery structure in hyperbolic networks
Imran Ansari, Pawanesh Yadav, Niteesh Sahni
The hyperbolic network models exhibit very fundamental and essential features, like small-worldness, scale-freeness, high-clustering coefficient, and community structure. In this p…
A novel portfolio construction strategy based on the core-periphery profile of stocks
Imran Ansari, Charu Sharma, Akshay Agrawal +1
This paper highlights the significance of mesoscale structures, particularly the core-periphery structure, in financial networks for portfolio optimization. We build portfolios of…
Exploiting the geometry of heterogeneous networks: A case study of the Indian stock market
Pawanesh Pawanesh, Charu Sharma, Niteesh Sahni
In this study, we model the Indian stock market as heterogenous scale free network, which is then embedded in a two dimensional hyperbolic space through a machine learning based te…