Effects of network structures and fermi function’s parameter β in promoting information spreading on dynamic social networks
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 2 (31 Mar. 2017)8 p.
Publisher
Publication Date
2017-03-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
- Social networking Web sites
- Mathematical models
- Algorithms
- Telecommunications
- Information technology
- Data processing
- Computer networks
- Digital communications
- Information networks
- Social aspects
Abstract EN
: Network represents a multitude of interactions through which information spreads within a society.
Indeed, people are connected according to the way they interact with one another and the resulting network significantly determines the efficiency and speed of information spreading.
This paper aimed at examining how topological structures of dynamic social network ks and Fermi function’s parameter β influence information spreading.
In order to carry out this study preciously, two models were proposed to generate a variety of network structures.
To study the spreading process, the models were integrated with an epidemic Susceptible-Infected-Recovered (SIR) model and designed in such a way that nodes rewire network edges according to Fermi function which depends on a parameter β.
By studying the number of recovered nodes generated in the spreading process and the number of acquainted nodes that are receiving information in each time step, the results suggested that network structure and both positive and negative β play an important role in promoting information spreading.
These results give a good indication that the structure of a society influences the spreading process.
More specifically, the structure of dynamic interactions is a good promoter of information spreading.
Moreover, it is proposed that rewiring more than three edges of random network could yield no significant advantages in promoting information spreading.
The present study likely enriches our knowledge and provides more insight on information spreading.
American Psychological Association (APA)
Alli, Abd Allah& Zhang, Ning. 2017. Effects of network structures and fermi function’s parameter β in promoting information spreading on dynamic social networks. The International Arab Journal of Information Technology،Vol. 14, no. 2.
https://search.emarefa.net/detail/BIM-693718
Modern Language Association (MLA)
Alli, Abd Allah& Zhang, Ning. Effects of network structures and fermi function’s parameter β in promoting information spreading on dynamic social networks. The International Arab Journal of Information Technology Vol. 14, no. 2 (2017).
https://search.emarefa.net/detail/BIM-693718
American Medical Association (AMA)
Alli, Abd Allah& Zhang, Ning. Effects of network structures and fermi function’s parameter β in promoting information spreading on dynamic social networks. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 2.
https://search.emarefa.net/detail/BIM-693718
Data Type
Journal Articles
Language
English
Notes
Includes appendices.
Record ID
BIM-693718