Publications

Total Influence and Hybrid Simulation of Independent Cascade Model using Rough Knowledge Granules

The paper defines a new theoretical measure Total Influence, of a node as well as a set of nodes in the social network. Total influence …

Double bounded rough set, tension measure, and social link prediction

The paper describes a new approach of viewing a social relation as a string with various forces acting on it. Accordingly, a tension …

Fuzzy-rough community in social networks

Community detection in a social network is a well-known problem that has been studied in computer science since early 2000. The …

FGSN: Fuzzy Granular Social Networks - Model and applications

Social network data has been modeled with several approaches, including Sociogram and Sociomatrices, which are popular and …

Deprecation based greedy strategy for target set selection in large scale social networks

The problem of target set selection for large scale social networks is addressed in the paper. We describe a novel deprecation based …

Centrality measures, upper bound, and influence maximization in large scale directed social networks

The paper addresses the problem of finding top k influential nodes in large scale directed social networks. We propose two new …

A new centrality measure for influence maximization in social networks

The paper addresses the problem of finding top k influential nodes in large scale directed social networks. We propose a centrality …

An Efficient Algorithm to Reconstruct a Minimum Spanning Tree in an Asynchronous Distributed Systems

In a highly dynamic asynchronous distributed network, node failure (or recovery) and link failure (or recovery) triggers topological …