activity
20132019
most citedContactTrees: A Technique for Studying Personal Network Data

7 citations · 8 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CG2019★ 1 cited

Node Overlap Removal Algorithms: A Comparative Study

Fati Chen, Laurent Piccinini, Pascal Poncelet +1

Many algorithms have been designed to remove node overlapping, and many quality criteria and associated metrics have been proposed to evaluate those algorithms. Unfortunately, a co…

cs.SI2017

Node-centric community detection in multilayer networks with layer-coverage diversification bias

Roberto Interdonato, Andrea Tagarelli, Dino Ienco +2

The problem of node-centric, or local, community detection in information networks refers to the identification of a community for a given input node, having limited information ab…

cs.SI2014★ 7 cited

ContactTrees: A Technique for Studying Personal Network Data

Arnaud Sallaberry, Yang-Chih Fu, Hwai-Chung Ho +1

Network visualization allows a quick glance at how nodes (or actors) are connected by edges (or ties). A conventional network diagram of "contact tree" maps out a root and branches…

cs.SI2014

Analysis and Visualization of Dynamic Networks

Faraz Zaidi, Chris Muelder, Arnaud Sallaberry

This chapter provides an overview of the different techniques and methods that exist for the analysis and visualization of dynamic networks. Basic definitions and formal notations…

cs.SI2013

Are all Social Networks Structurally Similar? A Comparative Study using Network Statistics and Metrics

Aneeq Hashmi, Faraz Zaidi, Arnaud Sallaberry +1

The modern age has seen an exponential growth of social network data available on the web. Analysis of these networks reveal important structural information about these networks i…

cs.SI2013

Tunable and Growing Network Generation Model with Community Structures

Mohammad Qasim Pasta, Zohaib Jan, Arnaud Sallaberry +1

Recent years have seen a growing interest in the modeling and simulation of social networks to understand several social phenomena. Two important classes of networks, small world a…