[图书][B] Application of social network metrics to a trust-aware collaborative model for generating personalized user recommendations

I Varlamis, M Eirinaki, M Louta - 2013 - Springer
Social network analysis has emerged as a key technique in modern sociology, but has
recently gained a lot of interest in Web mining research, because of the advent and the …

Learning linear influence models in social networks from transient opinion dynamics

A De, S Bhattacharya, P Bhattacharya… - ACM Transactions on …, 2019 - dl.acm.org
Social networks, forums, and social media have emerged as global platforms for forming
and shaping opinions on a broad spectrum of topics like politics, sports, and entertainment …

[PDF][PDF] AFramework FOR DETERMINING INFLUENCE ON REDDIT

A Kwok, V Wallace - Cmpr., 2010 - akwok.org
Social news networks are an increasingly important method of proliferating information,
opinions and ideas. As the number of sites and users grows, so too do the possibilities for …

Learning the influence probabilities based on multipolar factors in social network

W Wang, Z Peng, Z Liu, T Zhu, X Hong - Knowledge Science, Engineering …, 2015 - Springer
How to model the influence propagation accurately in social network is a critical and
challenge task. Although numerous attempts have been made for this topic, few of them …

Topic-constrained influence maximization in social networks

B Manaskasemsak, R Phuangpanya… - Proceedings of the 3rd …, 2017 - dl.acm.org
Understanding the spread of influence and maximizing it through online social networks
lead to gain a lot of benefits for various practical applications such as viral marketing …

Modeling Online User Relationships: A Review

D Oriedi, G Musumba - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
Social networks, such as Twitter and Facebook have recently emerged to play key roles in
crucial aspects of our lives. In this regard, the question of how to model the relationships …

Analyzing social influence through social media: A structured literature review

R Snijders, R Helms - 7th IADIS international conference on …, 2014 - research.ou.nl
The emergence of social media enables billions of people to share their content and in
doing so they influence others and are being influenced themselves. This virtual …

A Social Influence Model Based On Circuit Theory

B Xiang, E Chen, Q Liu, H Xiong, Y Yang… - arXiv preprint arXiv …, 2012 - arxiv.org
Understanding the behaviors of information propagation is essential for the effective
exploitation of social influence in social networks. However, few existing influence models …

Detecting influencial users in social networks: analysing graph-based and linguistic perspectives

K Deturck, N Patel, PA Avouac, C Lopez… - … workshop on artificial …, 2017 - Springer
There has been increasing interest in the artificial intelligence community for influencer
detection in recent years for its utility in singling out pertinent users within a large network of …

An efficient two-phase model for computing influential nodes in social networks using social actions

M Azaouzi, LB Romdhane - Journal of Computer Science and Technology, 2018 - Springer
The measurement of influence in social networks has received a lot of attention in the data
mining community. Influence maximization refers to the process of finding influential users …