State of Art Techniques for Social Influence Analysis: A Systematic Literature Review

Author(s):  
Sadia Majeed ◽  
Usman Qamar ◽  
Aftab Farooq
Author(s):  
Tiziana Guzzo ◽  
Fernando Ferri ◽  
Patrizia Grifoni

Author(s):  
Yingze Wang ◽  
Shi-Kuo Chang

Identifying the hub nodes (the most influential users) in an information diffusion network is a central research topic in social influence analysis. In [2], we developed the Multi-task Sparse Linear Influence Model (MSLIM) to automatically select topic-sensitive influential nodes in an implicit network. Our method firstly needs to determine the active node set to model the global volume of the contagions of the entire network nodes. The active node set is chosen by a simple rule in [2]. However, different set leads to different model performance. Reference [4] proposed a new framework called Slow Intelligence System, which can continuously learn, search the appropriate method and propagate information according to the environment to improve the performance over time. In this paper, we develop a slow intelligence based active user definition system by utilizing user profile visualization to help interactively determine active node sets in MSLIM model. We apply our system on a set of 2.6 million tweets of 1000 users on twitter. We show that our system can efficiently utilize user's profile visualization techniques to facilitate determining the appropriate active node sets.


2019 ◽  
Vol 19 (1) ◽  
pp. 11-25 ◽  
Author(s):  
Rômulo Santos Silva ◽  
Artur Martins Mol ◽  
Lucila Ishitani

The use of technologies by the elderly is still restricted, especially concerning recent technologies. To better understand the older user experience, while using virtual reality technology, we performed a Systematic Literature Review. The databases selected for research were the digital libraries of ACM, IEEE, Science Direct and Google Scholar. During the literature review, we col- lected information about the characteristics of the participants of the studies selected, the experiences reported about the use of technology, the research method used, the technologies chosen for the tests, the results obtained and future work suggested. The main contributions of this work were to identify the state of art of virtual and augmented reality for older people, the possible applications of these technologies to them, the most used devices and also the considerations reported by previous experiences.


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