Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach
The increasing availability of temporal network data is calling for more research on
extracting and characterizing mesoscopic structures in temporal networks and on relating …
extracting and characterizing mesoscopic structures in temporal networks and on relating …
Null models for community detection in spatially embedded, temporal networks
In the study of networks, it is often insightful to use algorithms to determine mesoscale
features such as 'community structure', in which densely connected sets of nodes constitute …
features such as 'community structure', in which densely connected sets of nodes constitute …
Application of information transmission control strategy based on incremental community division in IoT platform
W Yang, J Luo, J Wu - IEEE sensors journal, 2021 - ieeexplore.ieee.org
Nowadays, there are usually a huge number of sensors in most of the Internet of Things. In
this case, if a large number of nodes in the network transmit information at the same time, the …
this case, if a large number of nodes in the network transmit information at the same time, the …
Detecting temporal protein complexes from dynamic protein-protein interaction networks
Background Proteins dynamically interact with each other to perform their biological
functions. The dynamic operations of protein interaction networks (PPI) are also reflected in …
functions. The dynamic operations of protein interaction networks (PPI) are also reflected in …
A survey of social network and information dissemination analysis
In recent years, with the rapid growth of social network services (SNS), social networks
pervade nearly every aspect of our daily lives. Social networks are influencing today's …
pervade nearly every aspect of our daily lives. Social networks are influencing today's …
Dynamic functional connectivity using state-based dynamic community structure: Method and application to opioid analgesia
We present a new method, State-based Dynamic Community Structure, that detects time-
dependent community structure in networks of brain regions. Most analyses of functional …
dependent community structure in networks of brain regions. Most analyses of functional …
A community discovery algorithm based on boundary nodes and label propagation
Q Gui, R Deng, P Xue, X Cheng - Pattern Recognition Letters, 2018 - Elsevier
In this paper, a label boundary node algorithm (LBN) based on boundary nodes and label
propagation is proposed. The algorithm reduces the update randomness in label …
propagation is proposed. The algorithm reduces the update randomness in label …
Temporally evolving community detection and prediction in content-centric networks
In this work, we consider the problem of combining link, content and temporal analysis for
community detection and prediction in evolving networks. Such temporal and content-rich …
community detection and prediction in evolving networks. Such temporal and content-rich …
Larc: Learning activity-regularized overlapping communities across time
A Gorovits, E Gujral, EE Papalexakis… - Proceedings of the 24th …, 2018 - dl.acm.org
Communities are essential building blocks of complex networks enjoying significant
research attention in terms of modeling and detection algorithms. Common across models is …
research attention in terms of modeling and detection algorithms. Common across models is …
Fundamental structures in temporal communication networks
S Lehmann - Temporal Network Theory, 2023 - Springer
In this paper I introduce a framework for modeling temporal communication networks and
dynamical processes unfolding on such networks. The framework originates from the (new) …
dynamical processes unfolding on such networks. The framework originates from the (new) …