20 years of network community detection
Santo Fortunato, M. E. J. Newman

TL;DR
This paper reviews two decades of progress in network community detection, highlighting key developments and remaining challenges in identifying groups within network data.
Contribution
It provides a comprehensive overview of the evolution and advancements in network community detection over the past 20 years.
Findings
Significant progress in algorithms and methods
Identification of key challenges and future directions
Enhanced understanding of community structures
Abstract
A fundamental technical challenge in the analysis of network data is the automated discovery of communities - groups of nodes that are strongly connected or that share similar features or roles. In this commentary we review progress in the field over the last 20 years.
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