With the rapid development of mobile technologies, more and more people are equipped with smartphones. It is possible for scientists to collect and analyze mobile data efficiently. Mobile data contain rich semantic as well as topological information. Rich information can be inferred from these data such as social influence among different nodes in mobile social network. However, it is difficult to estimate the strength of social influence due to the characteristics of inherent dynamic and large scale of mobile social network. In this paper, a Dynamic Influence Graph (DIG) model is proposed which utilizes temporal information in a topological perspective, and an efficient algorithm is proposed based on the DIG model. The proposed algorithm can calculate social influence between any two nodes in a given mobile social network stream segment, and takes edge weights, node connectivity and temporal information into consideration. Experimental results with a real mobile social network dataset show that the proposed approach can infer social influence and achieve a-state-of-the-art accuracy (82-86%) efficiently and automatically.
목차
Abstract 1. Introduction 2. Problem Formulation and Motivation 2.1. Concepts about Social Influence 2.2. Time Sensitive Rank (TS-Rank) 3. Dynamic Influence Graph (DIG) 4. Experimental Evaluation 4.1. Experimental Setting 4.2. Accuracy 4.3. Sensitivity 5. Conclusions Acknowledgements References
키워드
mobile social networksocial influenceinfluence graphpath strength
저자
Zhipeng Liu [ Zhipeng Liu Yehong Wu College of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Wenyuan Street 9, Nanjing, Jiangsu, 210023, P.R. China ]
Dechang Pi [ Dechang Pi College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Yudao Street 29, Nanjing, Jiangsu, 210016, P.R. China ]
Yehong Wu [ Zhipeng Liu Yehong Wu College of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Wenyuan Street 9, Nanjing, Jiangsu, 210023, P.R. China ]
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
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 Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application Vol.8 No.5