Titlebook: Complex Networks VIII; Proceedings of the 8 Bruno Gon?alves,Ronaldo Menezes,Vinko Zlatic Conference proceedings 2017 Springer International

crutch

Conference proceedings 2017diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure..

MUMP

Network Motifs Detection Using Random Networks with Prescribed Subgraph Frequenciesize .. We propose a method for generating random graphs under this model, and we provide algorithms for its efficient computation. We show empirical results of our proposed methodology on neurobiological networks, showcasing its efficiency and its differences when comparing to the traditional null model.

洞穴

pester

Community Detection in Signed Networks Based on Extended Signed Modularityich is an efficient hierarchical agglomeration algorithm for detecting communities in signed networks. Based on the experiments with large-scale real world signed networks such as Wikipedia, Slashdot and Epinions, our method enables us to detect communities and inner factions inside the communities.