Exploring interactions in social networks for influence discovery

ME Rakoczy, A Bouzeghoub… - … Conference, BIS 2019 …, 2019 - Springer
Today's social networks allow users to react to new contents such as images, posts and
messages in numerous ways. For example, a user, impressed by another user's post, might …

From individual behavior to influence networks: A case study on twitter

A Silva, H Valiati, S Guimarães… - Simpósio Brasileiro de …, 2011 - sol.sbc.org.br
Understanding social influence and its related phenomena is a major challenge in the study
of the human collective behavior. In the recent years, the availability of internet-based …

Measuring influence in online social network based on the user-content bipartite graph

Z Zhu, J Su, L Kong - Computers in Human Behavior, 2015 - Elsevier
With the rising of online social networks, influence has been a complex and subtle force to
govern users' behaviors and relationship formation. Therefore, how to precisely identify and …

An empirical comparison of influence measurements for social network analysis

K Almgren, J Lee - Social Network Analysis and Mining, 2016 - Springer
The studying of social influence can be used to understand and solve many complicated
problems in social network analysis such as predicting influential users. This paper focuses …

Probabilistic reasoning system for social influence analysis in online social networks

L Vega, A Mendez-Vazquez… - Social Network Analysis …, 2021 - Springer
People interact with other people in their daily life, either for work or for personal reasons.
These interactions are often complex. Thus, interactions that an individual has with other …

An interaction-aware approach for social influence maximization

D Alonso, A Monteserin… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
Microblogging networks are considered a great source of social influence. One of its
characteristics is their high dynamism. This fact produces that influential users continuously …

Influence maximization in social networks: A survey of behaviour-aware methods

A Zareie, R Sakellariou - Social Network Analysis and Mining, 2023 - Springer
Social networks have become an increasingly common abstraction to capture the
interactions of individual users in a number of everyday activities and applications. As a …

Social network user influence sense-making and dynamics prediction

J Li, W Peng, T Li, T Sun, Q Li, J Xu - Expert Systems with Applications, 2014 - Elsevier
Identifying influential users and predicting their “network impact” on social networks have
attracted tremendous interest from both academia and industry. Various definitions of …

Exploring influence and interests among users within social networks

J Simoes, J Kiseleva, E Sivogolovko… - … Social Networks: Security …, 2012 - Springer
The spread of influence among individuals in a social network is one of the fundamental
questions in the social sciences. In this chapter we consider the main definitions of …

Learning influence probabilities in social networks

A Goyal, F Bonchi, LVS Lakshmanan - … on Web search and data mining, 2010 - dl.acm.org
Recently, there has been tremendous interest in the phenomenon of influence propagation
in social networks. The studies in this area assume they have as input to their problems a …