Visualization of Evolving Large Scale Ego-Networks

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Sarmento, R (Author) Other; Cordeiro, M (Author) Other; João Gama (Author) FEP

Conference proceedings International

Title: Proceedings of the 30th Annual ACM Symposium on Applied Computing, Salamanca, Spain, April 13-17, 2015

Pages: 960-962

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 2 Citations

Other information

Authenticus ID: P-00G-SYV

DOI: 10.1145/2695664.2695960

Abstract (EN): Large scale social networks streaming and visualization has been a hot topic in recent research. Researchers strive to achieve efficient streaming methods and to be able to gather knowledge from the results. Moreover treating the data as a continuous real time flow is a demand for immediate response to events in daily life. Our contribution is to treat the data as a continuous stream and represent it by streaming the egocentric networks (Ego-Networks) for particular nodes. We propose a non-standard node forgetting factor in the representation of the network data stream. Thus, this representation is sensible to recent events in users networks and less sensible for the past node events. The aim of these techniques is the visualization of large scale Ego-Networks from telecommunications social networks with power law distributions.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 3