36 citations · 55 across the 16 of their papers we have counts for
17 papers
ESCHER: Efficient and Scalable Hypergraph Evolution Representation with Application to Triad Counting
S. M. Shovan, Arindam Khanda, Sanjukta Bhowmick +1
Higher-order interactions beyond pairwise relationships in large complex networks are often modeled as hypergraphs. Analyzing hypergraph properties such as triad counts is essentia…
Sampling-Based Attack for Centrality Disruption in Complex Networks
Fariba Afrin Irany, Soumya Sarakar, Animesh Mukherjee +1
Many mobile networks are represented as graphs to obtain insight to their connectivity and transmission properties. Among these properties centrality resilience, that is, how well…
From Base Data To Knowledge Discovery -- A Life Cycle Approach -- Using Multilayer Networks
Abhishek Santra, Kanthi Komar, Sanjukta Bhowmick +1
Any large complex data analysis to infer or discover meaningful information/knowledge involves the following steps (in addition to data collection, cleaning, preparing the data for…
A New Community Definition For MultiLayer Networks And A Novel Approach For Its Efficient Computation
Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick +1
As the use of MultiLayer Networks (or MLNs) for modeling and analysis is gaining popularity, it is becoming increasingly important to propose a community definition that encompasse…
Making a Case for MLNs for Data-Driven Analysis: Modeling, Efficiency, and Versatility
Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick +1
Datasets of real-world applications are characterized by entities of different types, which are defined by multiple features and connected via varied types of relationships. A crit…
An Efficient Framework for Computing Structure- And Semantics-Preserving Community in a Heterogeneous Multilayer Network
Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick +1
Multilayer networks or MLNs (also called multiplexes or network of networks) are being used extensively for modeling and analysis of data sets with multiple entity and feature type…