Results 11 to 20 of about 8,185,565 (250)
Intrusion Detection Systems for Community Wireless Mesh Networks [PDF]
, 2008 Wireless mesh networks are being increasingly used to provide affordable network connectivity to communities where wired deployment strategies are either not possible or are prohibitively expensive.
Smith, Paul +3 more
core +5 more sources
CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection [PDF]
, 2023 Graph neural architecture search (GNAS) has been successful in many supervised learning tasks, such as node classification, graph classification, and link prediction.
Raeed Al-Sabri +13 more
core +1 more source
Methods for community detection in multi-layer networks [PDF]
, 2022 Many complex systems are composed of coupled networks through different layers, where each layer represents one of many possible types of interactions. One of the most relevant features is to extract communities in multi-layer networks.
Venturini, Sara
core
Louvain-like methods for community detection in multilayer hypergraphs [PDF]
, 2023 openCommunity detection is a relevant problem in graph theory and, in particular, in the study of complex networks. Hypergraphs are a natural modeling paradigm for networked systems with multiway interactions.
CREPALDI, ANGELICA
core
IEEE Access, 2020 Human activities are usually collective, so clustering has become an important feature of human behavior. This paper studied the evolution of the community in the process of public opinion propagation so as to put forward a public opinion evolution model
Wenzheng Li +4 more
doaj +1 more source
Estimating Mixed Memberships in Directed Networks by Spectral Clustering
Entropy, 2023 Community detection is an important and powerful way to understand the latent structure of complex networks in social network analysis. This paper considers the problem of estimating community memberships of nodes in a directed network, where a node may ...
Huan Qing
doaj +1 more source
Power Grid Partitioning Based on Functional Community Structure
IEEE Access, 2019 Network partitioning is a popular research topic. Not all available partitioning methods are equally suitable for power grids. Community detection is a critical issue in complex network theory, and power grid is a typical type of complex network.
Chuanzhi Zhao +5 more
doaj +1 more source
A linear time series analysis of carbon price via a complex network approach
Frontiers in Physics, 2022 Identifying the essential characteristics and forecasting carbon prices is significant in promoting green transformation. This study transforms the time series into networks based on China’s pilots by using the visibility graph, mining more information ...
Yuxia Hu +3 more
doaj +1 more source
A Relationships-based Algorithm for Detecting the Communities in Social Networks [PDF]
International Journal of Web Research, 2022 Social network research analyzes the relationships between interactions, people, organizations, and entities. With the developing reputation of social media, community detection is drawing the attention of researchers.
Sevda Fotovvat +2 more
doaj +1 more source
A self-organizing algorithm for community structure analysis in complex networks [PDF]
, 2016 Community structure analysis is a critical task for complex network analysis. It helps us to understand the properties of the system that a complex network represents, and has significance to a wide range of real applications.
Sugang Ma +11 more
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