In urban areas, the spatial configuration of urban elements is vital to the sustainable
development of cities. Due to the inherent spatial and networked characteristics of UBNs …

Many real-world networks contain overlapping communities like protein-protein networks
and social networks. Overlapping community detection plays an important role in studying …

Understanding the structure of a scientific domain and extracting specific information from it
is laborious. The high amount of manual effort required to this end indicates that the way …

Community structure is of paramount importance for the understanding of complex networks.
Consequently, there is a tremendous effort in order to develop efficient community detection …

The process of tracking the evolution of a scientific field is arduous. It allows researchers to
understand trends in areas of science and predict how they may evolve. Nowadays, most of …

Performance of clustering algorithms is evaluated with the help of accuracy metrics. There is
a great diversity of clustering algorithms, which are key components of many data analysis …

Community structure is a typical feature of complex networks in cyberspace, and community
detection is considered to be crucial to understanding the topology structure, network …

The constantly growing size of real-world networks is a great challenge. Therefore, building
a compact version of networks allowing their analyses is a must. Backbone extraction …

With the rapid increase in popularity of online social networks, community detection in these
networks has become a key aspect of research field. Overlapping community detection is an …

Key nodes play a vital role in propagation phenomena. Recent works exploit the networks'
community structure to identify these nodes. Most of the so-called “community-aware” …