Dual-Task Network Embeddings for Influence Prediction in Social Internet of Things

Author:

Wang Feng1ORCID,She Jinhua2ORCID,Wang Guojun3ORCID,Ohyama Yasuhiro2,Wu Min1ORCID

Affiliation:

1. School of Automation, China University of Geosciences, Wuhan, China

2. School of Engineering, Tokyo University of Technology, Tokyo, Japan

3. School of Computer Science, Guangzhou University, Guangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province, China

Wuhan Applied Foundational Frontier Project

111 Project of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Reference33 articles.

1. Influence Maximization on Social Graphs: A Survey

2. A heterogeneous graph embedding framework for location-based social network analysis in smart cities;wang;IEEE Trans Ind Informat,2020

3. A Component-Based Diffusion Model With Structural Diversity for Social Networks

4. Deepinf: Modeling influence locality in large social networks;qiu;Proc ACM SIGKDD,2018

5. Mobility Based Trust Evaluation for Heterogeneous Electric Vehicles Network in Smart Cities

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