scholarly journals A New Interactive Platform for Visual Analytics of Social Networks

2009 ◽  
pp. 231-244 ◽  
Author(s):  
Quang Vinh Nguyen ◽  
Mao Lin Huang
2015 ◽  
pp. 223-237
Author(s):  
Jiawei Zhang ◽  
Junghoon Chae ◽  
Shehzad Afzal ◽  
Abish Malik ◽  
Dennis Thom ◽  
...  

Author(s):  
Mikhail Ulizko ◽  
Evheniy Tretyakov ◽  
Rufina Tukumbetova ◽  
Alexey Artamonov ◽  
Mikhail Esaulov

One of the most significant and rapidly developing works in the field of data analysis is information flow management. Within the analysis targeted and stochastic dissemination patterns are studied. The solving of such problems is relevant due to the global growth in the amount of information and its availability for a wide range of users. The paper presents a study of dissemination of information messages in open networks on the example of COVID-19. The study was conducted with the use of visual analytics. Informational messages from the largest world and Russian information services, social networks and instant messengers were used as sources of information. Due to the large amount of information on the topic, the authors proposed a pattern of the wave-like dissemination of information on the example of topic clusters on the connection of COVID-19, hydroxychloroquine and 5G. The developed methods can be scaled up to analyze information events of various topics.


2015 ◽  
Vol 181 ◽  
pp. 65-79 ◽  
Author(s):  
Jason Vallet ◽  
Hélène Kirchner ◽  
Bruno Pinaud ◽  
Guy Melançon

Author(s):  
Mark E. Dickison ◽  
Matteo Magnani ◽  
Luca Rossi

2006 ◽  
Vol 27 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Ana-Maria Vranceanu ◽  
Linda C. Gallo ◽  
Laura M. Bogart

The present study investigated whether a social information processing bias contributes to the inverse association between trait hostility and perceived social support. A sample of 104 undergraduates (50 men) completed a measure of hostility and rated videotaped interactions in which a speaker disclosed a problem while a listener reacted ambiguously. Results showed that hostile persons rated listeners as less friendly and socially supportive across six conversations, although the nature of the hostility effect varied by sex, target rated, and manner in which support was assessed. Hostility and target interactively impacted ratings of support and affiliation only for men. At least in part, a social information processing bias could contribute to hostile persons' perceptions of their social networks.


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