Analytical model for epidemic information dissemination in mobile social networks with a novel selfishness division

被引：0

作者：

Xu, Qichao ^{[1
]}

Su, Zhou ^{[1
,2
]}

Han, Bo ^{[3
]}

Fang, Dongfeng ^{[1
]}

Xu, Zejun ^{[1
]}

机构：

[1] School of Mechatronics and Automation, Shanghai University, NO. 149, Yanchang Road, Zhabei Dist., Shanghai,200072, China

[2] Waseda University, Tokyo,169-8555, Japan

[3] Center of Information and Networks, Xi’an Jiaotong University, No.28, Xianning West Road, Xi’an,710049, China

来源：

Communications in Computer and Information Science | 2014年 / 462卷

关键词：

Social networking (online) - Information dissemination;

D O I：

10.1007/978-3-662-45261-5_50

中图分类号：

学科分类号：

摘要：

With the prosperity of smartphone markets, mobile social networks (MSNs) attract much attention. In MSNs, information can be shared among users through their opportunistic contacts. The information forwarding mode needs mobile users to work in a cooperative and altruistic way. However, in the real world, most of users are not willing to forward information because of their selfishness. In this paper, we firstly divide selfishness into two new types: weak selfishness and extreme selfishness. Then we develop an analytical model to evaluate the influence of selfish behavior on the information dissemination process in the MSNs. Numerical results demonstrate weak selfishness and extreme selfishness hinder information dissemination. © Springer International Publishing Switzerland 2014.

引用

页码：478 / 484

共 50 条

[31] An information dissemination model based on positive and negative interference in social networks
Ran, Maojie
Chen, Jiancu
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2021, 572
[32] Public opinion information dissemination in mobile social networks - taking Sina Weibo as an example
Wang, Xiwei
Xing, Yunfei
Wei, Yanan
Zheng, QingXiao
Xing, Guochun
INFORMATION DISCOVERY AND DELIVERY, 2020, 48 (04) : 213 - 224
[33] A cooperative forwarding scheme for social preference-based selfishness in mobile social networks
Kim, Sun-Kyum
Yoon, Ji-Hyeun
Lee, JunYeop
Jang, Gi-Young
Yang, Sung-Bong
WIRELESS NETWORKS, 2016, 22 (02) : 537 - 552
[34] Power-Efficient Epidemic Information Dissemination in Sensor Networks
Garbinato, Benoit
Rochat, Denis
Tomassini, Marco
WORKSHOP ON BIO-INSPIRED ALGORITHMS FOR DISTRIBUTED SYSTEMS - BADS 2009, 2009, : 69 - 76
[35] The impact of information dissemination strategies to epidemic spreading on complex networks
Lu, Yonglei
Liu, Jing
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 536
[36] RAMID: A Novel Risk Assessment Model of Information Dissemination on Social Network
Sha, Hongzhou
Li, Xiaoqian
Liu, Qingyun
Zhou, Zhou
Zhang, Liang
Wang, Lidong
TRUSTWORTHY COMPUTING AND SERVICES (ISCTCS 2014), 2015, 520 : 295 - 303
[37] Localization of Information Dissemination in Agriculture Using Mobile Networks
Jain, Lokesh
Kumar, Harish
Singla, R. K.
ICT AND CRITICAL INFRASTRUCTURE: PROCEEDINGS OF THE 48TH ANNUAL CONVENTION OF COMPUTER SOCIETY OF INDIA - VOL I, 2014, 248 : 409 - 415
[38] Tight Bounds on Information Dissemination in Sparse Mobile Networks
Pettarin, Alberto
Pietracaprina, Andrea
Pucci, Geppino
Upfal, Eli
PODC 11: PROCEEDINGS OF THE 2011 ACM SYMPOSIUM PRINCIPLES OF DISTRIBUTED COMPUTING, 2011, : 355 - 362
[39] Modeling Information Dissemination in Generalized Social Networks
Chou, Yu-Feng
Huang, Hsin-Heng
Cheng, Ray-Guang
IEEE COMMUNICATIONS LETTERS, 2013, 17 (07) : 1356 - 1359
[40] The Usefulness of Social Networks for the Dissemination of Scientific Information
Serban, Ionel
BOOK POWER IN COMMUNICATION, SOCIOLOGY AND TECHNOLOGY, 2018, 5 : 27 - 31

← 1 2 3 4 5 →