A cost-effective algorithm for inferring the trust between two individuals in social networks

2019 ◽  
Vol 164 ◽  
pp. 122-138 ◽  
Author(s):  
Chengying Mao ◽  
Changfu Xu ◽  
Qiang He
Algorithmica ◽  
2017 ◽  
Vol 80 (6) ◽  
pp. 1804-1833 ◽  
Author(s):  
Gennaro Cordasco ◽  
Luisa Gargano ◽  
Marco Mecchia ◽  
Adele A. Rescigno ◽  
Ugo Vaccaro

2016 ◽  
Vol 450 ◽  
pp. 670-681
Author(s):  
Bhushan Kotnis ◽  
Joy Kuri

2020 ◽  
Vol 32 (12) ◽  
pp. 2297-2309
Author(s):  
Kai Han ◽  
Yuntian He ◽  
Keke Huang ◽  
Xiaokui Xiao ◽  
Shaojie Tang ◽  
...  

2020 ◽  
Vol 141 ◽  
pp. 82-98
Author(s):  
Hourieh Khalajzadeh ◽  
Dong Yuan ◽  
Bing Bing Zhou ◽  
John Grundy ◽  
Yun Yang

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 19900-19910
Author(s):  
Jichao Bi ◽  
Xiaofan Yang ◽  
Wanping Liu ◽  
Da-Wen Huang

2013 ◽  
Vol 36 (8) ◽  
pp. 881-894 ◽  
Author(s):  
B. de la Ossa ◽  
J.A. Gil ◽  
J. Sahuquillo ◽  
A. Pont

Author(s):  
Brianna Terese Hertzler ◽  
Eric Frost ◽  
George H. Bressler ◽  
Charles Goehring

The events of September 11, 2001, the Indian Ocean tsunami in 2004, and Hurricane Katrina in 2005 awakened American policymakers to the importance of the need for emergency management. This paper explains how a cloud computing environment can support social networks and logistical coordination on a global scale during crises. Basic cloud computing functionality is covered to show how social networks can connect seamlessly to work together with profound interoperability. Lastly, the benefits of a cloud computing solution is presented as the most cost-effective, efficient, and secure method of communication during a disaster response, with the unique capability of being able to support a global community through its massive scalability.


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