Modeling of large-scale social network services based on mechanisms of information diffusion: Sina Weibo as a case study

2017 ◽  
Vol 74 ◽  
pp. 291-301 ◽  
Author(s):  
Ru Wang ◽  
Seungmin Rho ◽  
Bo-Wei Chen ◽  
Wandong Cai
Keyword(s):  
Social Network ◽  
Information Diffusion ◽  
Large Scale ◽  
Network Services ◽  
Sina Weibo ◽  
Social Network Services

Detecting In Situ Identity Fraud on Social Network Services: A Case Study With Facebook

2017 ◽  
Vol 11 (4) ◽  
pp. 2432-2443 ◽  
Author(s):  
Shan-Hung Wu ◽  
Man-Ju Chou ◽  
Chun-Hsiung Tseng ◽  
Yuh-Jye Lee ◽  
Kuan-Ta Chen
Keyword(s):  
Social Network ◽  
Network Services ◽  
Identity Fraud ◽  
Social Network Services

Incremental face recognition for large-scale social network services

2012 ◽  
Vol 45 (8) ◽  
pp. 2868-2883 ◽  
Author(s):  
Kwontaeg Choi ◽  
Kar-Ann Toh ◽  
Hyeran Byun
Keyword(s):  
Social Network ◽  
Face Recognition ◽  
Large Scale ◽  
Network Services ◽  
Social Network Services

Identity Perception and Information Diffusion in Social Network Services

2015 ◽  
Vol 2015 (1) ◽  
pp. 16908
Author(s):  
Young-Kyu Kim ◽  
Dongwon Lee ◽  
Janghyuk Lee ◽  
Ji-Hwan Lee
Keyword(s):  
Social Network ◽  
Information Diffusion ◽  
Network Services ◽  
Social Network Services ◽  
Identity Perception

scholarly journals Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Duc T. Nguyen ◽  
Jai E. Jung
Keyword(s):  
Social Network ◽  
Information Diffusion ◽  
Relevant Information ◽  
Network Services ◽  
Social Software ◽  
Smart Devices ◽  
Social Events ◽  
The Social ◽  
Social Network Services ◽  
Social Sensor

Social network services (e.g., Twitter and Facebook) can be regarded as social sensors which can capture a number of events in the society. Particularly, in terms of time and space, various smart devices have improved the accessibility to the social network services. In this paper, we present a social software platform to detect a number of meaningful events from information diffusion patterns on such social network services. The most important feature is to process the social sensor signal for understanding social events and to support users to share relevant information along the social links. The platform has been applied to fetch and cluster tweets from Twitter into relevant categories to reveal hot topics.

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