4 citations · 18 across the 14 of their papers we have counts for
14 papers
Degree Centrality Algorithms for Weighted Multilayer Networks (or w-MLNs)
Ayomide Ayowole-Obi, Abhishek Santra, Sharma Chakravarthy
Centrality measures are defined for simple graphs -- directed, undirected, weighted or unweighted. Attributed graphs have to be reduced to simple graphs for computing centrality me…
Scalable Substructure Discovery Algorithm For Homogeneous Multilayer Networks
Arshdeep Singh, Abhishek Santra, Sharma Chakravarthy
Graph mining analyzes real-world graphs to find core substructures (connected subgraphs) in applications modeled as graphs. Substructure discovery is a process that involves identi…
Degree Centrality Algorithms For Homogeneous Multilayer Networks
Hamza Reza Pavel, Abhishek Santra, Sharma Chakravarthy
Centrality measures for simple graphs/networks are well-defined and each has numerous main-memory algorithms. However, for modeling complex data sets with multiple types of entitie…
Closeness Centrality Algorithms For Multilayer Networks
Hamza Reza Pavel, Abhishek Santra, Sharma Chakravarthy
Centrality measures for simple graphs are well-defined and several main-memory algorithms exist for each. Simple graphs are not adequate for modeling complex data sets with multipl…
An Extensible Dashboard Architecture For Visualizing Base And Analyzed Data
Abhishek Santra, Kunal Samant, Endrit Memeti +2
Any data analysis, especially the data sets that may be changing often or in real-time, consists of at least three important synchronized components: i) figuring out what to infer…
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…
Efficient Community Detection in Boolean Composed Multiplex Networks
Abhishek Santra, Sanjukta Bhowmick, Sharma Chakravarthy
Networks (or graphs) are used to model the dyadic relations between entities in a complex system. In cases where there exists multiple relations between the entities, the complex s…
Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
Xuan-Son Vu, Abhishek Santra, Sharma Chakravarthy +1
Multi-feature data analysis (e.g., on Facebook, LinkedIn) is challenging especially if one wants to do it efficiently and retain the flexibility by choosing features of interest fo…
Query Processing on Large Graphs: Approaches To Scalability and Response Time Trade Offs
Soumyava Das, Abhishek Santra, Jay Bodra +1
With the advent of social networks and the web, the graph sizes have grown too large to fit in main memory precipitating the need for alternative approaches for an efficient, scala…
Structure-Preserving Community In A Multilayer Network: Definition, Detection, And Analysis
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…
Scalable Holistic Analysis of Multi-Source, Data-Intensive Problems Using Multilayered Networks
Abhishek Santra, Sanjukta Bhowmick, Sharma Chakravarthy
Holistic analysis of many real-world problems are based on data collected from multiple sources contributing to some aspect of that problem. The word fusion has also been used in t…