Learn More
Large networks, having thousands of vertices and lines, can be found in many different areas, e. g: genealogies, flow graphs of programs, molecule, computer networks, transportation networks, social networks, intra/inter organisational networks ... Many standard network algorithms are very time and space consuming and therefore unsuitable for analysis of(More)
Structural balance theory has proven useful for delineating the blockmodel structure of signed social networks. Even so, most of the observed signed networks are not perfectly balanced. One possibility for this is that in examining the dynamics underlying the generation of signed social networks, insufficient attention has been given to other processes and(More)
Ž . Ž . Patrick Ion Mathematical Reviews and Jerry Grossman Oakland University maintain a collection of data on Paul Erdos, his co-authors and their co-authors. These data can be represented by a graph, also called ̋ the Erdos collaboration graph. ̋ Ž In this paper, some techniques for analysis of large networks different approaches to identify(More)
In the paper some approaches, using program Pajek, to analysis and visualization of networks derived from texts are presented and illustrated on Reuters terror news network. It is shown that using the proposed approaches we can identify in the news network the main themes as we remember them from the news of that period, and also to filter out the secondary(More)
Different kinds of networks can be generated from already existing electronic sources. Text is a special and frequent form of such data. In the paper an overview of different ways to derive networks from the textual data and to analyse them are presented. The obtained networks can be very large, having some ten or hundred of thousands of vertices. Therefore(More)
In this paper, we present a case study for the visualisation and analysis of large and complex temporal multivariate networks derived from the Internet Movie DataBase (IMDB). Our approach is to integrate network analysis methods with visualisation in order to address scalability and complexity issues. In particular, we defined new analysis methods such as(More)