Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/3805
Title: Visualization of Evolving Large Scale Ego-Networks
Authors: Rui Portocarrero Sarmento
Mário Miguel Cordeiro
João Gama
Issue Date: 2015
Abstract: 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.
URI: http://repositorio.inesctec.pt/handle/123456789/3805
http://dx.doi.org/10.1145/2695664.2695960
metadata.dc.type: conferenceObject
Publication
Appears in Collections:LIAAD - Indexed Articles in Conferences

Files in This Item:
File Description SizeFormat 
P-00G-SYV.pdf261.62 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.