A tutorial on interactive sensing in social networks

V Krishnamurthy, HV Poor - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper considers models and algorithms for interactive sensing in social networks in
which individuals act as sensors and the information exchange between individuals is …

Balancing information exposure in social networks

K Garimella, A Gionis, N Parotsidis… - Advances in neural …, 2017 - proceedings.neurips.cc
Social media has brought a revolution on how people are consuming news. Beyond the
undoubtedly large number of advantages brought by social-media platforms, a point of …

Dynamic epistemic logics of diffusion and prediction in social networks

A Baltag, Z Christoff, RK Rendsvig, S Smets - Studia Logica, 2019 - Springer
We take a logical approach to threshold models, used to study the diffusion of opinions, new
technologies, infections, or behaviors in social networks. Threshold models consist of a …

A game-theoretic analysis of a competitive diffusion process over social networks

V Tzoumas, C Amanatidis, E Markakis - International Workshop on Internet …, 2012 - Springer
We study a game-theoretic model for the diffusion of competing products in social networks.
Particularly, we consider a simultaneous non-cooperative game between competing firms …

Convergence of bi-virus epidemic models with non-linear rates on networks—a monotone dynamical systems approach

V Doshi, S Mallick - IEEE/ACM Transactions on Networking, 2022 - ieeexplore.ieee.org
We study convergence properties of competing epidemic models of the Susceptible-Infected-
Susceptible () type. The SIS epidemic model has seen widespread popularity in modelling …

Cooperation through social influence

X Molinero, F Riquelme, M Serna - European Journal of Operational …, 2015 - Elsevier
We consider a simple and altruistic multiagent system in which the agents are eager to
perform a collective task but where their real engagement depends on the willingness to …

A novel game theoretic approach for modeling competitive information diffusion in social networks with heterogeneous nodes

MAMA Kermani, SFF Ardestani, A Aliahmadi… - Physica A: statistical …, 2017 - Elsevier
Influence maximization deals with identification of the most influential nodes in a social
network given an influence model. In this paper, a game theoretic framework is developed …

Balancing spreads of influence in a social network

R Becker, F Corò, G D'Angelo, H Gilbert - Proceedings of the AAAI …, 2020 - aaai.org
The personalization of our news consumption on social media has a tendency to reinforce
our pre-existing beliefs instead of balancing our opinions. To tackle this issue, Garimella et …

Analysis of competitive information diffusion in a group-based population over social networks

G Fu, F Chen, J Liu, J Han - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
The dynamics of competitive information diffusion over a connected social network is
investigated in this paper. A modified SIR model for two competitive information is …

Coordination games on graphs

KR Apt, B de Keijzer, M Rahn, G Schäfer… - International Journal of …, 2017 - Springer
We introduce natural strategic games on graphs, which capture the idea of coordination in a
local setting. We study the existence of equilibria that are resilient to coalitional deviations of …