Tian Wang

Works (3)

Updated: July 5th, 2023 15:44

2014 article

Analysis and Control of Beliefs in Social Networks

Wang, T., Krim, H., & Viniotis, Y. (2014, August 27). IEEE Transactions on Signal Processing, Vol. 62, pp. 5552–5564.

By: T. Wang n, H. Krim n  & Y. Viniotis n 

author keywords: Complex networks; information flow; machine learning
topics (OpenAlex): Opinion Dynamics and Social Influence; Complex Network Analysis Techniques; Game Theory and Applications
TL;DR: An information flow model (IFM) of belief that captures how interactions among members affect the diffusion and eventual convergence of a belief is proposed and applied to both converged belief estimation and belief control strategy optimization. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 article

A Generalized Markov Graph Model: Application to Social Network Analysis

Wang, T., Krim, H., & Viniotis, Y. (2013, February 12). IEEE Journal of Selected Topics in Signal Processing, Vol. 7, pp. 318–332.

By: T. Wang n, H. Krim n  & Y. Viniotis n 

author keywords: Complex networks; pattern recognition; classification; Markov graph model
topics (OpenAlex): Complex Network Analysis Techniques; Opinion Dynamics and Social Influence; Advanced Graph Neural Networks
TL;DR: A generalized Markov Graph model for social networks is proposed and it is revealed that the degree distribution, the clustering coefficient distribution as well as a newly discovered feature, a crowding coefficient distribution, are fundamental to characterizing a social network. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 article proceedings

Statistical classification of social networks

By: T. Wang n & H. Krim n 

topics (OpenAlex): Complex Network Analysis Techniques; Opinion Dynamics and Social Influence; Advanced Graph Neural Networks
TL;DR: Experimental classification demonstrates a very good performance of the proposed method on real social network data, and validates the hypothesis that Degree Centralities and clustering coefficients are the only two viable independent properties of a social network. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: NC State University Libraries, Crossref, NC State University Libraries
Added: August 6, 2018

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