Investigating Negative Interactions in Multiplex Networks: A Mutual Information Approach

Autor:	Hajibagheri, Alireza, Sukthankar, Gita
Rok vydání:	2018
Předmět:	Computer Science - Social and Information Networks Physics - Physics and Society
Druh dokumentu:	Working Paper
Popis:	Many interesting real-world systems are represented as complex networks with multiple types of interactions and complicated dependency structures between layers. These interactions can be encoded as having a valence with positive links marking interactions such as trust and friendship and negative links denoting distrust or hostility. Extracting information from these negative interactions is challenging since standard topological metrics are often poor predictors of negative link formation, particularly across network layers. In this paper, we introduce a method based on mutual information which enables us to predict both negative and positive relationships. Our experiments show that SMLP (Signed Multiplex Link Prediction) can leverage negative relationship layers in multiplex networks to improve link prediction performance. Comment: arXiv admin note: substantial text overlap with arXiv:1609.03946, text overlap with arXiv:1003.2429 by other authors
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1804.07210 Zobrazit plný text záznamu View this record from Arxiv