Rumor Identification with Maximum Entropy in MicroNet

Joint Authors

Yu, Suisheng
Li, Mingcai
Liu, Fengming

Source

Complexity

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-09-28

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Philosophy

Abstract EN

The widely used applications of Microblog, WeChat, and other social networking platforms (that we call MicroNet) shorten the period of information dissemination and expand the range of information dissemination, which allows rumors to cause greater harm and have more influence.

A hot topic in the information dissemination field is how to identify and block rumors.

Based on the maximum entropy model, this paper constructs the recognition mechanism of rumor information in the micronetwork environment.

First, based on the information entropy theory, we obtained the characteristics of rumor information using the maximum entropy model.

Next, we optimized the original classifier training set and the feature function to divide the information into rumors and nonrumors.

Finally, the experimental simulation results show that the rumor identification results using this method are better than the original classifier and other related classification methods.

American Psychological Association (APA)

Yu, Suisheng& Li, Mingcai& Liu, Fengming. 2017. Rumor Identification with Maximum Entropy in MicroNet. Complexity،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1142557

Modern Language Association (MLA)

Yu, Suisheng…[et al.]. Rumor Identification with Maximum Entropy in MicroNet. Complexity No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1142557

American Medical Association (AMA)

Yu, Suisheng& Li, Mingcai& Liu, Fengming. Rumor Identification with Maximum Entropy in MicroNet. Complexity. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1142557

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1142557