A Computational Framework for Influence Networks Application to Clergy Influence in HIV/AIDS Outreach

Strong social networks can encourage healthy behaviors. In this paper, we introduce a sociology-based computational framework for influence networks. The model construct is generic and is applicable to diverse social network analysis. We demonstrate its usage in calibrating the positive influence of...

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Bibliographic Details
Published in:	Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 pp. 1175 - 1182
Main Authors:	Lee, Eva K., Wang, Zixing
Format:	Conference Proceeding
Language:	English
Published:	New York, NY, USA ACM 31.07.2017
Series:	ACM Conferences
Subjects:	Applied computing Applied computing > Law, social and behavioral sciences Applied computing > Law, social and behavioral sciences > Sociology Human-centered computing Human-centered computing > Collaborative and social computing Human-centered computing > Collaborative and social computing > Collaborative and social computing design and evaluation methods Human-centered computing > Collaborative and social computing > Collaborative and social computing design and evaluation methods > Social network analysis Information systems Information systems > Information systems applications Mathematics of computing Mathematics of computing > Discrete mathematics Mathematics of computing > Discrete mathematics > Graph theory Mathematics of computing > Discrete mathematics > Graph theory > Network flows Networks Networks > Network types Networks > Network types > Overlay and other logical network structures Networks > Network types > Overlay and other logical network structures > Online social networks Theory of computation Theory of computation > Design and analysis of algorithms Theory of computation > Design and analysis of algorithms > Graph algorithms analysis Theory of computation > Design and analysis of algorithms > Graph algorithms analysis > Network flows Theory of computation > Theory and algorithms for application domains Theory of computation > Theory and algorithms for application domains > Algorithmic game theory and mechanism design Theory of computation > Theory and algorithms for application domains > Algorithmic game theory and mechanism design > Social networks HIV/AIDS influence calibration influence optimization Sociology-based influence network
ISBN:	1450349935, 9781450349932
Online Access:	Get full text
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