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5G-Enabled Cooperative Intelligent Vehicular (5GenCIV) Framework: When Benz Meets Marconi

Cheng, Xiang, Chen, Chen, Zhang, Wuxiong, Yang, Yang·2017·IEEE Intelligent Systems

Abstract

As one of the most popular social media platforms today, Twitter provides people with an effective way to communicate and interact with each other. Through these interactions, influence among users gradually emerges and changes people's opinions. Although previous work has studied interpersonal influence as the probability of activating others during information diffusion, they ignore an important fact that information diffusion is the result of influence, while dynamic interactions among users produce influence. In this article, the authors propose a novel temporal influence model to learn users' opinion behaviors regarding a specific topic by exploring how influence emerges during communications. The experiments show that their model performs better than other influence models with different influence assumptions when predicting users' future opinions, especially for the users with high opinion diversity.

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Metadata

Authors
Cheng, X., Chen, C., Zhang, W., & Yang, Y.
Venue
IEEE Intelligent Systems
Published
2017-05
Volume
32
Issue
3
Pages
53-59
ISSN
1541-1672 (ISSN-L)
OpenAlex
W2620276187
Cited by
204
References
0
FWCI
13.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: 5G-Enabled Cooperative Intelligent Vehicular (5GenCIV) Framework: When Benz Meets Marconi. https://app.cochat.ai/papers/10.1109/mis.2017.53
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Cheng, X., Chen, C., Zhang, W., & Yang, Y. (2017). 5G-Enabled Cooperative Intelligent Vehicular (5GenCIV) Framework: When Benz Meets Marconi. IEEE Intelligent Systems. https://doi.org/10.1109/mis.2017.53

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