70 Citations
Predicting user behavior over social networks
- Computer Science
- 2021
A link prediction model that combines metrics for user activity with topological structure metrics in this article is provided, which can be used to bridge the gap between current techniques.
Layered social influence promotes multiculturality in the Axelrod model
- BiologyScientific Reports
- 2017
It is shown that the addition of multiplexity in the modeling of the authors' society generates qualitatively novel dynamical behavior, producing a new stable regime of cultural diversity, suggesting that the layered organisation of social influence typical of modern societies is the key ingredient to explain why and how multiculturality emerges and thrives in their world.
The Structural Virality of Online Diffusion
- Computer ScienceManag. Sci.
- 2016
This work proposes a formal measure of what it label “structural virality” that interpolates between two conceptual extremes: content that gains its popularity through a single, large broadcast and that which grows through multiple generations with any one individual directly responsible for only a fraction of the total adoption.
Predicting information diffusion via matrix factorization based model
- Computer Science2014 4th IEEE International Conference on Network Infrastructure and Digital Content
- 2014
Experiments suggest that the proposed matrix factorization based predictive model (MFPM) outperforms the state-of-the-art information diffusion models for information diffusion prediction tasks.
Modeling Information Propagation in Chinese Microblogs Based on User Activity Influence
- Computer Science2013 10th Web Information System and Application Conference
- 2013
Two influence propagation models, namely the basic model and the discrete time model are proposed, and the probabilistic influences between users are inferred based on the user activities, to effectively reflect the influences of communication between users in micro blog space, and predict the users' activities.
Parameterized Complexity of Immunization in the Threshold Model
- Computer Science, MathematicsWALCOM
- 2022
This work considers the problem of controlling the spread of harmful items in networks, such as the contagion proliferation of diseases or the diffusion of fake news, and considers several parameters associated to the input, including: the bounds k and `, the maximum node degree ∆, the treewidth, and the neighborhood diversity of the network.
A Multi-seed Nodes Selection Strategy for Influence Maximization Based on Reinforcement Learning Algorithms
- Computer Science
- 2021
A new seeds selection algorithm which is based on reinforcement learning (IMQ), which fully considers the influence of the network structure characteristics on the influence propagation process, so that this method can select the best nodes as seeds on social networks with different topologies.
On Multiplexity-Aware Influence Spread in Social Networks
- Computer ScienceIEEE Access
- 2020
This paper analyzes the multiplexity-aware influence spread in two extended linear threshold models with two different protocols that explain how an agent updates its state combining signals from all layers and presents the optimal solutions by solving integer linear programming problems for influence minimization in multiplexlinear threshold models.
M A ] 2 0 D ec 2 01 9 Convergence of Opinion Diffusion is PSPACE-complete
- Mathematics
- 2019
We analyse opinion diffusion in social networks, where a finite set of individuals is connected in a directed graph and each simultaneously changes their opinion to that of the majority of their…
Propagation d'événements dans un graphe économique
- Philosophy, Computer ScienceEGC
- 2019
Nous proposons d’etudier un nouveau probleme de diffusion appele Influence Classification Problem (ICP) dont l’objectif est de classifier automatiquement quels noeuds sont impactes pour un evenement donne.
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