Veröffentlichung

Titel:

Entropy based evaluation of net structures – deployed in Social Network Analysis

AutorInnen:

Rödder, W.
Brenner, D.
Kulmann, F.

Kategorie:

Zeitschriftenaufsätze

Forschungsthema:

Probabilistische Wissensverarbeitung

 

Expert Systems with Applications, 41-17 (2014) 7968–7979. DOI: 10.1016/j.eswa.2014.06.049

Abstract:

The analysis of Social Networks widely is based on their respective graphical structures. Centrality measures of actors usually consider their position in a graph. Sometimes graphs are an insufficient medium to represent social structures. In this paper the authors propose a new framework with the purpose to analyze social fabric correctly: information theory. A set of conditionals forms the knowledge base about the network’s structure. Once the knowledge base is adapted under maximum entropy or minimum cross-entropy a new form of analysis is available. The construction of knowledge bases and their analyses are realized in the expert system shell SPIRIT.

Keywords: Information theory -- Entropy -- Expert systems -- Social networks -- Network analysis -- Centrality