research
∙
07/24/2022
Closeness Centrality Algorithms For Multilayer Networks
Centrality measures for simple graphs are well-defined and several main-...
share
research
∙
07/24/2022
Degree Centrality Algorithms For Homogeneous Multilayer Networks
Centrality measures for simple graphs/networks are well-defined and each...
research
∙
06/09/2021
An Extensible Dashboard Architecture For Visualizing Base And Analyzed Data
Any data analysis, especially the data sets that may be changing often o...
research
∙
05/24/2021
From Base Data To Knowledge Discovery – A Life Cycle Approach – Using Multilayer Networks
Any large complex data analysis to infer or discover meaningful informat...
research
∙
04/20/2020
A New Community Definition For MultiLayer Networks And A Novel Approach For Its Efficient Computation
As the use of MultiLayer Networks (or MLNs) for modeling and analysis is...
research
∙
09/21/2019
Making a Case for MLNs for Data-Driven Analysis: Modeling, Efficiency, and Versatility
Datasets of real-world applications are characterized by entities of dif...
research
∙
09/07/2019
An Efficient Framework for Computing Structure- And Semantics-Preserving Community in a Heterogeneous Multilayer Network
Multilayer networks or MLNs (also called multiplexes or network of netwo...
research
∙
09/07/2019
Efficient Community Detection in Boolean Composed Multiplex Networks
Networks (or graphs) are used to model the dyadic relations between enti...
research
∙
05/21/2019
Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
Multi-feature data analysis (e.g., on Facebook, LinkedIn) is challenging...
research
∙
05/14/2019
Query Processing on Large Graphs: Approaches To Scalability and Response Time Trade Offs
With the advent of social networks and the web, the graph sizes have gro...
research
∙
03/06/2019
