Distributed Load Balancing for Parallel Agent-Based Simulations

Author(s):  
Biagio Cosenza ◽  
Gennaro Cordasco ◽  
Rosario De Chiara ◽  
Vittorio Scarano
2015 ◽  
Vol 51 ◽  
pp. 90-99 ◽  
Author(s):  
Omar Rihawi ◽  
Yann Secq ◽  
Philippe Mathieu

Author(s):  
Kathrin Eismann

AbstractSocial media networks (SMN) such as Facebook and Twitter are infamous for facilitating the spread of potentially false rumors. Although it has been argued that SMN enable their users to identify and challenge false rumors through collective efforts to make sense of unverified information—a process typically referred to as self-correction—evidence suggests that users frequently fail to distinguish among rumors before they have been resolved. How users evaluate the veracity of a rumor can depend on the appraisals of others who participate in a conversation. Affordances such as the searchability of SMN, which enables users to learn about a rumor through dedicated search and query features rather than relying on interactions with their relational connections, might therefore affect the veracity judgments at which they arrive. This paper uses agent-based simulations to illustrate that searchability can hinder actors seeking to evaluate the trustworthiness of a rumor’s source and hence impede self-correction. The findings indicate that exchanges between related users can increase the likelihood that trustworthy agents transmit rumor messages, which can promote the propagation of useful information and corrective posts.


2016 ◽  
Vol 168 ◽  
pp. 27-35 ◽  
Author(s):  
Hélène Dupont ◽  
Françoise Gourmelon ◽  
Mathias Rouan ◽  
Isabelle Le Viol ◽  
Christian Kerbiriou

Author(s):  
Youcef Magnouche ◽  
Pham Tran Anh Quang ◽  
Jeremie Leguay ◽  
Xu Gong ◽  
Feng Zeng

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