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Recent advances in opinion propagation dynamics: A 2020 survey
H Noorazar - The European Physical Journal Plus, 2020 - Springer
Opinion dynamics have attracted the interest of researchers from different fields. Local
interactions among individuals create interesting dynamics for the system as a whole. Such …
interactions among individuals create interesting dynamics for the system as a whole. Such …
A tutorial on modeling and analysis of dynamic social networks. Part II
Recent years have witnessed a significant trend towards filling the gap between Social
Network Analysis (SNA) and control theory. This trend was enabled by the introduction of …
Network Analysis (SNA) and control theory. This trend was enabled by the introduction of …
Novel multidimensional models of opinion dynamics in social networks
Unlike many complex networks studied in the literature, social networks rarely exhibit
unanimous behavior, or consensus. This requires a development of mathematical models …
unanimous behavior, or consensus. This requires a development of mathematical models …
[HTML][HTML] Discrete opinion dynamics in social networks with stubborn agents and limited information
In this paper, we consider discrete opinion dynamics with n possible opinions in social
networks with stubborn agents, where conformists adopt the most common opinions in their …
networks with stubborn agents, where conformists adopt the most common opinions in their …
Formal models of opinion formation and their application to real data: evidence from online social networks
IV Kozitsin - The Journal of Mathematical Sociology, 2022 - Taylor & Francis
In this paper, we analyze data on the opinion dynamics of 1,660,927 users of an online
social network using formal models of opinion formation. We have observed that moderate …
social network using formal models of opinion formation. We have observed that moderate …
Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach, in memory of roberto tempo
The processes of information diffusion across social networks (for example, the spread of
opinions and the formation of beliefs) are attracting substantial interest in disciplines ranging …
opinions and the formation of beliefs) are attracting substantial interest in disciplines ranging …
Blind community detection from low-rank excitations of a graph filter
This paper considers a new framework to detect communities in a graph from the
observation of signals at its nodes. We model the observed signals as noisy outputs of an …
observation of signals at its nodes. We model the observed signals as noisy outputs of an …
Learning influence structure in sparse social networks
The aim of this paper is to propose a novel methodology for estimating the social influence
among agents interacting in a sparse social network described by the Friedkin and Johnsen …
among agents interacting in a sparse social network described by the Friedkin and Johnsen …
Cyber-social systems: modeling, inference, and optimal design
This paper models the cyber-social system as a cyber-network of agents monitoring states of
individuals in a social network. The state of each individual is represented by a social node …
individuals in a social network. The state of each individual is represented by a social node …
Data injection attacks in randomized gossi**
The subject of this paper is the detection and mitigation of data injection attacks in
randomized average consensus gossip algorithms. It is broadly known that the main …
randomized average consensus gossip algorithms. It is broadly known that the main …