Positive opinion maximization in signed social networks

Q He, L Sun, X Wang, Z Wang, M Huang, B Yi… - Information …, 2021 - Elsevier
Opinion maximization is a kind of optimization method, which leverages a subset of
influential nodes in social networks to spread user opinions towards the target product and …

Keep your friends close, and your enemies closer: structural properties of negative relationships on Twitter

J Tacchi, C Boldrini, A Passarella, M Conti - EPJ Data Science, 2024 - epjds.epj.org
Abstract The Ego Network Model (ENM) is a model for the structural organisation of
relationships, rooted in evolutionary anthropology, that is found ubiquitously in social …

[KNIHA][B] Advances in network clustering and blockmodeling

P Doreian, V Batagelj, A Ferligoj - 2020 - books.google.com
Provides an overview of the developments and advances in the field of network clustering
and blockmodeling over the last 10 years This book offers an integrated treatment of network …

Centrality and Universality in Scale-Free Networks

V Adami, S Emdadi-Mahdimahalleh… - arxiv preprint arxiv …, 2024 - arxiv.org
We propose a novel paradigm for modeling real-world scale-free networks, where the
integration of new nodes is driven by the combined attractiveness of degree and …

Effective and efficient core computation in signed networks

J Kim, HJ Jeong, S Lim, J Kim - Information Sciences, 2023 - Elsevier
With the proliferation of mobile technology and IT development, people can use social
network services anywhere and anytime. Among many social network mining problems …

Signed ego network model and its application to Twitter

J Tacchi, C Boldrini, A Passarella… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The Ego Network Model (ENM) describes how individuals organise their social relations in
concentric circles (typically five) of decreasing intimacy, and it has been found almost …

Label propagation for clustering

L Šubelj - Advances in network clustering and blockmodeling, 2019 - Wiley Online Library
This chapter presents the basic label propagation method for network clustering and
partitioning, together with its numerous variants and advances, extensions to different types …

A regularized convex nonnegative matrix factorization model for signed network analysis

J Wang, R Mu - Social Network Analysis and Mining, 2021 - Springer
Community detection and link prediction are two basic tasks of complex network system
analysis, which are widely used in the detection of telecom fraud organizations and …

Assessing the effectiveness of real-world network simplification

N Blagus, L Šubelj, M Bajec - Physica A: Statistical Mechanics and its …, 2014 - Elsevier
Many real-world networks are large, complex and thus hard to understand, analyze or
visualize. Data about networks are not always complete, their structure may be hidden, or …

Designing a trust evaluation model for open‐knowledge communities

X Yang, Q Qiu, S Yu, H Tahir - British Journal of Educational …, 2014 - Wiley Online Library
The openness of open‐knowledge communities (OKC s) leads to concerns about the
knowledge quality and reliability of such communities. This confidence crisis has become a …