In this paper, we propose a new model for information dissemination in mobile social networks, in which the infectious probability is defined as a function of the homogeneity and heterogeneity between nodes. Moreover, we investigate numerically the behavior of the model on a real scale-free social site with the exponent γ =1.08. We find that weak ties between nodes play an important role in information dissemination process. Specially, selecting weak ties preferentially can make information spread faster and wider, and the efficiency of diffusion will be greatly affected after removing them.
목차
Abstract 1. Introduction 2. Model 3. The Infectious Probability 4. Data Set 5. Result and Analysis 5.1 Diffusion Influence of Parameter r 5.2 Diffusion Influence of Weak Ties 6. Conclusions Acknowledgements References
Wang Weiguo [ School of Mathematics and Quantitative Economics, Dongbei University of Finance and Economics, Dalian, China ]
Chu Chen [ School of Mathematics and Quantitative Economics, Dongbei University of Finance and Economics, Dalian, China ]
Liu Jinzhuo [ School of Software, Yunnan University, Kunming, China, Key Laboratory for Software Engineering of Yunnan Province(Yunnan University), Kunming, China ]
Li Tairan [ School of Software, Yunnan University, Kunming, China ]
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.8 No.3