Information Spread and Topic Diffusion in Heterogeneous Information Networks

Molaei, S, Babaei, S, Salehi, M and Jalili, M 2018, 'Information Spread and Topic Diffusion in Heterogeneous Information Networks', Scientific Reports, vol. 8, no. 1, pp. 1-12.

Document type: Journal Article
Collection: Journal Articles

Title Information Spread and Topic Diffusion in Heterogeneous Information Networks
Author(s) Molaei, S
Babaei, S
Salehi, M
Jalili, M
Year 2018
Journal name Scientific Reports
Volume number 8
Issue number 1
Start page 1
End page 12
Total pages 12
Publisher Nature Publishing Group
Abstract Diffusion of information in complex networks largely depends on the network structure. Recent studies have mainly addressed information diffusion in homogeneous networks where there is only a single type of nodes and edges. However, some real-world networks consist of heterogeneous types of nodes and edges. In this manuscript, we model information diffusion in heterogeneous information networks, and use interactions of different meta-paths to predict the diffusion process. A meta-path is a path between nodes across different layers of a heterogeneous network. As its most important feature the proposed method is capable of determining the influence of all meta-paths on the diffusion process. A conditional probability is used assuming interdependent relations between the nodes to calculate the activation probability of each node. As independent cascade models, we consider linear threshold and independent cascade models. Applying the proposed method on two real heterogeneous networks reveals its effectiveness and superior performance over state-of-the-art methods.
Subject Dynamical Systems in Applications
Pattern Recognition and Data Mining
Information Systems Management
DOI - identifier 10.1038/s41598-018-27385-2
Copyright notice © The Author(s) 2018. Creative Commons Attribution 4.0 International
ISSN 2045-2322
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