Learning influence from heterogeneous social networks

L Liu, J Tang, J Han, S Yang - Data mining and knowledge discovery, 2012 - Springer
Influence is a complex and subtle force that governs social dynamics and user behaviors.
Understanding how users influence each other can benefit various applications, eg, viral …

Similarity-based ranking of user influence in bipartite social networks

SM Taheri, H Mahyar, M Firouzi, A Movaghar - … European Conference on … - docspike.com
Today with the growth of spreading information, the question of” how to measure a user's
influence on others in social networks?” becomes increasingly challenging and interesting …

Determining influential users with supervised random walks

G Katsimpras, D Vogiatzis, G Paliouras - Proceedings of the 24th …, 2015 - dl.acm.org
The emergence of social media and the enormous growth of social networks have initiated a
great amount of research in social influence analysis. In this regard, many approaches take …

Estimating domain-based user influence in social networks

M Cataldi, N Mittal, MA Aufaure - proceedings of the 28th annual ACM …, 2013 - dl.acm.org
Social networks and microblogging systems play a fundamental role in the diffusion of
information. The information, from different sources, reaches each user through multiple …

Modeling and evaluating information propagation in a microblogging social network

CT Li, TT Kuo, CT Ho, SC Hong, WS Lin… - Social Network Analysis …, 2013 - Springer
Microblogging platforms, such as Twitter and Plurk, allow users to express feelings, discuss
ideas, and share interesting things with their friends or even strangers with similar interests …

Social Influence Analysis in Online Social Networks for Viral Marketing: A Survey

H Baabcha, M Laifa, S Akhrouf - International Conference on Managing …, 2022 - Springer
One of the most exciting developments of the last few years has been the rise of online
social networks. The richness of this network's content provides unprecedented …

Influential Nodes Prediction Based on the Structural and Semantic Aspects of Social Media

N Hafiene, W Karoui, L Ben Romdhane - Information Systems: 17th …, 2020 - Springer
A key problem in social media is the identification of influential nodes and the analysis of
how these nodes are reflected in the graph structure evolution. Influence prediction is an …

An action–reaction influence model relying on OSN user-generated content

A De Santo, A Ferraro, V Moscato, G Sperlí - Knowledge and Information …, 2023 - Springer
Due to the sustained popularization of Online Social Networks (OSNs), it has become of
interest for a variety of domains of applications to correctly characterize how the behavior of …

Modeling influence diffusion over signed social networks

D Li, J Liu - IEEE Transactions on Knowledge and Data …, 2019 - ieeexplore.ieee.org
In offline or online worlds, many social systems can be represented as signed social
networks including both positive and negative relationships. Although a variety of studies on …

Temporal analysis of influence to predict users' adoption in online social networks

E Marin, R Guo, P Shakarian - … , SBP-BRiMS 2017, Washington, DC, USA …, 2017 - Springer
Different measures have been proposed to predict whether individuals will adopt a new
behavior in online social networks, given the influence produced by their neighbors. In this …