Influence maximization problem in social networks: An overview

M Jaouadi, LB Romdhane - 2019 IEEE/ACS 16th International …, 2019 - ieeexplore.ieee.org
Social networks have attracted a great deal of attention and have in fact important
information vectors that have changed the way we produce, consume and diffuse …

Group influence maximization problem in social networks

J Zhu, S Ghosh, W Wu - IEEE Transactions on Computational …, 2019 - ieeexplore.ieee.org
Group plays an important role in social society. Much of the world's decision or work is done
by groups and teams. A group's decision should be made based on most of the members in …

Investigating negative reviews and detecting negative influencers in Yelp through a multi-dimensional social network based model

E Corradini, A Nocera, D Ursino, L Virgili - International Journal of …, 2021 - Elsevier
In this paper, we propose an investigation of negative reviews and define the profile of
negative influencers in Yelp. The methodology adopted to achieve this goal consists of two …

Robust rumor blocking problem with uncertain rumor sources in social networks

J Zhu, S Ghosh, W Wu - World wide web, 2021 - Springer
Rumormongers spread negative information throughout the social network, which may even
lead to panic or unrest. Rumor should be blocked by spreading positive information from …

Influence maximization in real-world closed social networks

S Huang, W Lin, Z Bao, J Sun - arXiv preprint arXiv:2209.10286, 2022 - arxiv.org
In the last few years, many closed social networks such as WhatsAPP and WeChat have
emerged to cater for people's growing demand of privacy and independence. In a closed …

Human-centric cyber social computing model for hot-event detection and propagation

LL Shi, L Liu, Y Wu, L Jiang, M Kazim… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Microblogging networks have gained popularity in recent years as a platform enabling
expressions of human emotions, through which users can conveniently produce contents on …

Influence maximization problem with echo chamber effect in social network

J Zhu, P Ni, G Tong, G Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
An echo chamber effect describes the situation in which opinions are amplified by
communication and repetition inside a relatively closed social system. In this article, we will …

The role of the social network structure on the spread of intensive agriculture: an example from Navarre, Spain

A Albizua, E Bennett, U Pascual… - Regional environmental …, 2020 - Springer
Social networks influence decision-making in agricultural landscapes by affecting how
farmers access knowledge and resources. However, researchers ignore the disparate …

Time-constrained adaptive influence maximization

G Tong, R Wang, Z Dong, X Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The well-known influence maximization problem (IM) aims at maximizing the influence of
one information cascade in a social network by selecting appropriate seed users prior to the …

Defining and detecting k-bridges in a social network: the yelp case, and more

E Corradini, A Nocera, D Ursino, L Virgili - Knowledge-Based Systems, 2020 - Elsevier
In this paper, we introduce the concept of k-bridge (ie, a user who connects k sub-networks
of the same network or k networks of a multi-network scenario) and propose an algorithm for …