Every word is valuable: Studied influence of negative words that spread during election period in social media-Reference-Cited by-同舟云学术

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Every word is valuable: Studied influence of negative words that spread during election period in social media

Published:2018-07-27 Issue:21 Volume:31 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Hu Xiangyu¹^ORCID,Li Lemin¹,Wu Tingmin²^ORCID,Ai Xiaoxiang¹,Gu Jie¹,Wen Sheng¹

Affiliation:

1. University of Electronic Science and Technology of China Chengdu China

2. School of Software and Electrical EngineeringSwinburne University of Technology Melbourne Australia

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.4525

Reference36 articles.

1. ChengQ GaoC‐Z.A cloud aided privacy‐preserving profile matching scheme in mobile social networks. Paper presented at: 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC);2017;Guangzhou China.

2. Preserving Privacy with Probabilistic Indistinguishability in Weighted Social Networks

3. Understanding Graph-Based Trust Evaluation in Online Social Networks

4. Identifying Propagation Sources in Networks: State-of-the-Art and Comparative Studies

5. Modeling the Propagation of Worms in Networks: A Survey

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Foreword to the special issue on security, privacy, and social networks;Concurrency and Computation: Practice and Experience;2019-05-06

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