Name
Abstract | ||
|---|---|---|
Social networks are dynamic structures in which entities and links appear and disappear for different reasons. Starting from the observation that each entity plays a more or less important role in transmitting the information inside a network, the objective of this article is to propose a method which exploits the role played by a given node to both estimate the impact of its disappearance on the information flow, and conduct network changes to restore the information flow with a similar quality as before the node disappearance. To this end, we propose a network restructuring approach that categorizes nodes into critical and non-critical classes based on their role, and hence, manages their disappearance appropriately by adding new links in a parsimonious way and selecting a substitute for a deleted critical node. As opposed to a previously defined solution, our approach adds links that are just enough to maintain the quality of the information flow within the network as before a node deletion. A prototype is designed and implemented using an open source social network analysis library (NetworkX). Its validation is conducted using network data sets with various sizes. The empirical study shows a low network update, a quite constant quality of the information flow and reasonable execution times after a node deletion. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/s13278-012-0071-y | Social Netw. Analys. Mining |
Keywords | Field | DocType |
Social network analysis, Dynamic network, Information flow, Link prediction | Network formation,Dynamic network analysis,Information flow (information theory),Social network,Computer science,Social network analysis,Network simulation,Exploit,Empirical research,Distributed computing | Journal |
Volume | Issue | ISSN |
3 | 3 | 1869-5469 |
Citations | PageRank | References |
5 | 0.44 | 18 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Idrissa Sarr | 1 | 27 | 9.35 |
| Rokia Missaoui | 2 | 983 | 136.45 |