Konstantinos Skianis

Konstantinos Skianis

Assistant Professor of NLP, Department of Computer Science and Engineering, University of Ioannina

SpreadViz: Analytics and Visualization of Spreading Processes in Social Networks

Konstantinos Skianis, Maria Evgenia G. Rossi, Fragkiskos D. Malliaros, Michalis Vazirgiannis

Demo IEEE International Conference on Data Mining (ICDM), Demo Track, 2016

Paper Demo

Abstract

In this paper, we propose SpreadViz, a web tool for exploration and visualization of spreading properties in social networks. SpreadViz consists of three main modules, namely graph exploration and analytics, detection of influential nodes, and interactive visualization. More precisely, SpreadViz offers the following functionalities: (i) It computes and visualizes various centrality criteria towards understanding how the position of a node in the network affects its spreading properties; (ii) It offers a wide range of criteria for the detection of single and multiple influential nodes and comparison among them; (iii) It effectively visualizes the spread of influence in the network as well as the performance of each method. In our demonstration, we invite the audience to interact with SpreadViz, exploring, analyzing, and visualizing the spreading processes over various real-world social networks.