Works (3)
Updated: July 5th, 2023 15:44
2014 journal article
Analysis and Control of Beliefs in Social Networks
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 62(21), 5552–5564.
author keywords: Complex networks; information flow; machine learning
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)
open access via arxiv.org (repository)
Source: Web Of Science
Added: August 6, 2018
2013 journal article
A Generalized Markov Graph Model: Application to Social Network Analysis
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 7(2), 318–332.
author keywords: Complex networks; pattern recognition; classification; Markov graph model
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 Goal Categories
10. Reduced Inequalities
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2012 conference paper
Statistical classification of social networks
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3977–3980.
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 Goal Categories
10. Reduced Inequalities
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018