Core of communities in bipartite networks

Autor:	Bongiorno, Christian, London, András, Miccichè, Salvatore, Mantegna, Rosario N.
Rok vydání:	2017
Předmět:	Physics - Physics and Society Computer Science - Social and Information Networks Physics - Data Analysis Statistics and Probability
Zdroj:	Phys. Rev. E 96, 022321 (2017)
Druh dokumentu:	Working Paper
DOI:	10.1103/PhysRevE.96.022321
Popis:	We use the information present in a bipartite network to detect cores of communities of each set of the bipartite system. Cores of communities are found by investigating statistically validated projected networks obtained using information present in the bipartite network. Cores of communities are highly informative and robust with respect to the presence of errors or missing entries in the bipartite network. We assess the statistical robustness of cores by investigating an artificial benchmark network, the co-authorship network, and the actor-movie network. The accuracy and precision of the partition obtained with respect to the reference partition are measured in terms of the adjusted Rand index and of the adjusted Wallace index respectively. The detection of cores is highly precise although the accuracy of the methodology can be limited in some cases. Comment: 9 pages, 6 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1704.01524 Zobrazit plný text záznamu View this record from Arxiv