6.Graph Theory, Mathematics The Königsberg bridge problem asks if the seven bridges of the city of Königsberg (left figure; Kraitchik 1942), formerly in Germany but now known as Kaliningrad and part of Russia, over the river Preger can all be traversed in a single trip without doubling ...
A line graph formed on this social network is a conventional network, where persons are nodes. The goals of this construction are: social networks are clusterized and assortative, as it is observed in the network of LiveJournal of 8x10nodes (arXiv:1010.2460, submitted to publication).Anna ...
A social network graph, which was used to show the relations of a karate club consisting of 34 people in 1977, is shown in Fig. 1. Nowadays, with online social platforms, these structures have turned into structures comprised of millions of nodes. Social networks are structures consisting of...
In computing, social networks are traditionally represented as graphs: a connection of nodes (people), pairs of which may be connected by edges (friend relationships). Visually, the social networks can then be represented like this: Social network analys
This Special Issue encourages submissions in all areas of graph theory and algorithms and social network analysis. The focus is on the investigation of graph-based techniques for social networks with the aim of developing algorithms to make these systems more effective and efficient. ...
Social networks, he said, " do a richer job of constructing recommendations. " 他说, 社交网络 “ 在形成推荐上做得更富成效. ” 来自互联网 2. One defence for social networks is to develop other revenue streams. 社交网络的出路之一是另辟财路. 来自互联网 3. Yang Meng: We are confident, ...
we propose new features for three-mode multilevel networks such as the mixed geodesic distances, mixed degree distributions, and the mixed quadrilateral census. We investigate whether a micro-level model that considers the above-mentioned network mechanisms is able to correctly reproduce these features...
Starting from the main idea of Symbolic Data Analysis to extend Statistics and Data Mining methods from first-order to second-order objects, we focus on network data—as defined in the framework of Social Network Analysis—to define a graph structure and the underlying network in the context of...
In this study, we propose a new approach for multi-level influence assessment on multi-relational networks, such as Twitter. We define a social graph to model the relationships between users as a multiplex graph where users are represented by nodes, and links model the different relations ...
The structure of many complex social networks is determined by nodal and dyadic covariates that are endogenous to the tie variables. While exponential-family random graph models (ERGMs) have been very successful in modeling social ...