Community detection in node-attributed social networks: a survey

P Chunaev - Computer Science Review, 2020 - Elsevier
Community detection is a fundamental problem in social network analysis consisting,
roughly speaking, in unsupervised dividing social actors (modeled as nodes in a social …

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

Y Liu, C Yang, K Huang, W Gui - Knowledge-Based Systems, 2020 - Elsevier
Non-ferrous metals are indispensable industrial materials and strategic supports of national
economic development. The price forecasting of non-ferrous metals is critical for investors …

A community detection algorithm based on graph compression for large-scale social networks

X Zhao, J Liang, J Wang - Information Sciences, 2021 - Elsevier
Uncovering the underlying community structure of a social network is an important task in
social network analysis. To solve this problem, many community detection algorithms for the …

Detecting prosumer-community groups in smart grids from the multiagent perspective

J Cao, Z Bu, Y Wang, H Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
One of the greatest advancements of the modern era is the evolution of smart grid (SG),
which integrates information communication technologies with advanced power electronic …

Graph K-means based on leader identification, dynamic game, and opinion dynamics

Z Bu, HJ Li, C Zhang, J Cao, A Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the explosion of social media networks, many modern applications are concerning
about people's connections, which leads to the so-called social computing. An elusive …

Measuring the network vulnerability based on markov criticality

HJ Li, L Wang, Z Bu, J Cao, Y Shi - ACM Transactions on Knowledge …, 2021 - dl.acm.org
Vulnerability assessment—a critical issue for networks—attempts to foresee unexpected
destructive events or hostile attacks in the whole system. In this article, we consider a new …

Default prediction in P2P lending from high-dimensional data based on machine learning

J Zhou, W Li, J Wang, S Ding, C Xia - Physica A: Statistical Mechanics and …, 2019 - Elsevier
In recent years, a new Internet-based unsecured credit model, peer-to-peer (P2P) lending, is
flourishing and has become a successful complement to the traditional credit business …

Overlapping graph clustering in attributed networks via generalized cluster potential game

HJ Li, Y Feng, C Xia, J Cao - ACM Transactions on Knowledge …, 2024 - dl.acm.org
Overlapping graph clustering is essential to understand the nature and behavior of real
complex systems including human interactions, technical systems and transportation …

Collaboration and transportation resource sharing in multiple centers vehicle routing optimization with delivery and pickup

Y Wang, J Zhang, K Assogba, Y Liu, M Xu… - Knowledge-Based …, 2018 - Elsevier
The adoption of collaboration strategies among logistics facilities and the formation of one or
multiple coalitions constitute a sustainable approach to vehicle routing network optimization …

Community detection with node attributes in multilayer networks

M Contisciani, EA Power, C De Bacco - Scientific reports, 2020 - nature.com
Community detection in networks is commonly performed using information about
interactions between nodes. Recent advances have been made to incorporate multiple …