A survey of community search over big graphs
With the rapid development of information technologies, various big graphs are prevalent in
many real applications (eg, social media and knowledge bases). An important component of …
many real applications (eg, social media and knowledge bases). An important component of …
3D Point cloud for cultural heritage: a scientometric survey
Three-dimensional point cloud has been widely used in the cultural heritage field in the last
two decades, gaining attention from both academic and industry communities. A large …
two decades, gaining attention from both academic and industry communities. A large …
Effective and efficient community search over large heterogeneous information networks
Recently, the topic of community search (CS) has gained plenty of attention. Given a query
vertex, CS looks for a dense subgraph that contains it. Existing studies mainly focus on …
vertex, CS looks for a dense subgraph that contains it. Existing studies mainly focus on …
A classification of community detection methods in social networks: a survey
S Souravlas, A Sifaleras, M Tsintogianni… - … Journal of General …, 2021 - Taylor & Francis
The detection of community structures is a crucial research area. The problem of community
detection has received considerable attention from a large portion of the scientific …
detection has received considerable attention from a large portion of the scientific …
ModX: binary level partially imported third-party library detection via program modularization and semantic matching
With the rapid growth of software, using third-party libraries (TPLs) has become increasingly
popular. The prosperity of the library usage has provided the software engineers with a …
popular. The prosperity of the library usage has provided the software engineers with a …
Integrating heterogeneous structures and community semantics for unsupervised community detection in heterogeneous networks
Y Zhao, W Li, F Liu, J Wang, AM Luvembe - Expert Systems with …, 2024 - Elsevier
Community detection aims to discover hidden communities or groups in complex networks
and is essentially unsupervised clustering behavior. However, most of the existing …
and is essentially unsupervised clustering behavior. However, most of the existing …
Latent factor models for credit scoring in P2P systems
Abstract Peer-to-Peer (P2P) FinTech platforms allow cost reduction and service
improvement in credit lending. However, these improvements may come at the price of a …
improvement in credit lending. However, these improvements may come at the price of a …
Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics
Detecting groups within a set of interconnected nodes is a widely addressed problem that
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …
[HTML][HTML] A review on community structures detection in time evolving social networks
N Alotaibi, D Rhouma - Journal of King Saud University-Computer and …, 2022 - Elsevier
The usage of social networks has widely increased in recent years. Humans tend to form
groups, in these networks, based on their similar interests. Such groups are known as …
groups, in these networks, based on their similar interests. Such groups are known as …
Unfolding community homophily in US metropolitans via human mobility
As described in the proverb “birds of a feather flock together”, the term homophily narrates
the principle that stronger spatial interactions tend to be formed among locations with similar …
the principle that stronger spatial interactions tend to be formed among locations with similar …