[PDF] Top 20 Communicability graph and community structures in complex networks

... “communicability graph”, which has the same set of nodes as the complex network and links determined by the communicability ...the communicability to account for the strength of the ... See full document

... overlapping community structures on complex ...of community structures can't change the threshold value, but it can influence the extent of the social information ... See full document

... a complex network represents and has signifi- cance to a wide range of ...by community detection algorithms include overlapping community structure detection, large scale network analysis, dynamic ... See full document

... the communicability matrix of a network with normalized adjacency matrix as a source of methods for detecting communities in ...normalized communicability matrix. As we have previously stated the ... See full document

... a graph since the space of graphs has very high order ...other networks because different networks exist for different ...4.4 graph assorta- tivity r is implicitly measured against a ... See full document

... of complex systems in nature. These systems can be described by complex networks, such as interpersonal networks [1] , collaboration networks of scientific research communities [2] , ... See full document

... random graph model including both node specific and group specific ...in complex networks and we expect our results to stimulate a discussion on the use of appropriate null models in the analysis of ... See full document

... Introduction. Complex networks are ubiquitous in many real-world scenar- ios, ranging from the biomolecular—those representing gene transcription, protein interactions, and metabolic reactions—to the social ... See full document

... the communicability angle and the structure of proteins, let us make a comment ...residue networks are ...evolving networks, such as the networks of galleries and corridors formed by termite ... See full document

... From a network science perspective, it is natural to seek generic centrality mea- sures that rank individual nodes according to their “importance.” In the case of static network topology, there is a wealth of such ... See full document

... to community detection is to select a metric of community quality and maxi- mize ...of community structure that measures the difference between the observed fraction of edges within a ... See full document

... possible networks generated from such a model 2 ...new networks from our model with a similar group structure, or predict miss- ing edges and impute ...a graph created by an SBM (Decelle et ...to ... See full document

... a community in local community ...local community detection can be categorised into three ...a community should be densely connected with each ...[The community-search problem and how ... See full document

... Biological evaluation. We evaluate our results using the following measures. First, we examine the coherence of the GO terms in our modules using the semantic sim- ilarity score calculated by G-SESAME [38]. We use this ... See full document

... social structures, actors with vested local interests are engaging state, national and global strategies in the application of information technology and telecommunications (Kenyon ...and community levels ... See full document

... In this framework the topological features and the attributes of nodes in the same community are represented as intervals, that is, interval data can be considered a way to measure quantitatively the network ... See full document

... The complex networks are ubiquitous in many real-world scenarios, ranging from the biomolecular — those representing gene transcription, protein interactions, and metabolic reactions — to the social and ... See full document

... network communicability has several unique ...network structures at both global and local scales simultaneously, which has been identified as a promising route to explore complex networks ... See full document

... of networks in which there are some nodes, like C, which are not intermediaries in many shortest paths, but may play an important role in the flow of information between distinct ...these networks is shown ... See full document

... (mesoscale); and (iii) anatomically distinct brain regions and corresponding inter- regional pathways (macroscale). In this work, due to the resolution limits of MRI data, we focus on the macroscale description of the ... See full document