Evaluating user's influence based on temporal topic and connection state in Online Social Networks

Wang Feng; Jiang Wenjun; Wang Guojun; Meng Dacheng

Chinese︱Feedback︱Save this page

• Elaborating Academic Views 　　　　 • Exchanging Innovative Ideas
• Protecting Intellectual Properties 　　• Fast Sharing Science Papers

Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China

Home > Papers

Evaluating user's influence based on temporal topic and connection state in Online Social Networks

Wang Feng 1 #,Jiang Wenjun 2,Wang Guojun 1 *,Meng Dacheng 1

1.School of Information Science and Engineering, Central South University

2.College of Computer Science and Electronic Engineering, Hunan University

*Correspondence author

#Submitted by

Subject:

Funding: Ministry of Education Fund for Doctoral Disciplines in Higher Education Grant （No.No. 20110162110043). National Natural Science Foundation of China）

Opened online:23 December 2015

Accepted by: none

Citation: Wang Feng,Jiang Wenjun,Wang Guojun.Evaluating user's influence based on temporal topic and connection state in Online Social Networks[OL]. [23 December 2015] http://en.paper.edu.cn/en_releasepaper/content/4665863

Social influence means that the user'sactions can induce his/her friend to behave in a similar way, this phenomenon is essential for various applications in online social networks (OSNs). Messages received by a user mainly depend on whom the user follows, so each followed use can be treated as information sources. In order to receive messages more efficient, user should to know how to find high social influence user. To address this problem, this paper proposes a new evaluation model of user's social influence. We propose the temporal-topic influence evaluation model to incorporate topic distribution information andtime factor.By analyzing the temporal topic interest distribution, we can evaluate user's social influence more accurately and efficiently. And our model also considers the connection state information determines user's social influence. The evaluation results showuser's influence I(u)at timet_i. We verify the efficiency and accuracy of our model by experiments, and the experiment results show that the proposed approach can efficiently infer user's social influence.

Keywords:Social influence analysis; topic model; time constrained; connection distance.

For this paper

● PDF (0B)
● Revision 0 　　
● Print this paper
● Recommend this paper to a friend
● Add to my favorite list

Saved Papers

Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags

Add yours

Related Papers

Statistics

PDF Downloaded	114
Bookmarked	0
Recommend	0
Comments	Array

Submit your papers

Alert Name:
Alerting to:
Authentication email will be sent to your email address in 24 hours
Frequency:
Email Message Format:	Plain text Graphical(HTML)

Complete the form below and we will recommend the selected titles to your friends on your behalf. * Indicates a required field.
Your name*:
Your email address*:
Recipient's name*:
Recipient's email address*:
(multiple recipient's names and email addresses should be separated with semicolons)
Your comments:	I thought you would find the page(s) useful.

Your name:
Your email address:
Recipient's name:
Recipient's email address:
(multiple recipient's names and email addresses should be separated with semicolons)
Your comments:	I thought you would find this page useful.

Disclaimer: This message was sent to your friend using the "Send it to a friend" facility on the Sciencepaper Online’ WWW site, http://www.paper.edu.cn/en. The Sciencepaper Online is not responsible for the content of this email, and anything said in this email does not necessarily reflect the Sciencepaper Online's views.

	Check out RSS, or use RSS reader to subscribe this item

Saved Papers