Information Spread and Topic Diffusion in Heterogeneous Information Networks.

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 t

SUBMITTER: Molaei S 

PROVIDER: S-EPMC6040177 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature