Measure User Intimacy by Mining Maximum Information Transmission Paths
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-21
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The Internet has become an important carrier of information.
Its data contain abundant information about hot events, user relations and attitudes, and so on.
Many enterprises use high-impact Internet users to promote products, so it is very important to understand the mechanism of information transmission.
Mining social network data can help people analyze the complex and changing relationships between users.
The traditional method for doing this is to analyze information such as common interests and common friends, but this data cannot truly describe the degree of intimacy between users.
What really connects different users on the Internet is the delivery of information.
The algorithm proposed in this paper considers the dynamic characteristics of information transmission, finds maximum transmission paths from information transmission results, and finally calculates the intimacy degrees between users according to all the maximum information transmission paths within a certain period.
American Psychological Association (APA)
Guo, Lin& Zhang, Dongliang. 2020. Measure User Intimacy by Mining Maximum Information Transmission Paths. Complexity،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1140949
Modern Language Association (MLA)
Guo, Lin& Zhang, Dongliang. Measure User Intimacy by Mining Maximum Information Transmission Paths. Complexity No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1140949
American Medical Association (AMA)
Guo, Lin& Zhang, Dongliang. Measure User Intimacy by Mining Maximum Information Transmission Paths. Complexity. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1140949
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140949