20 years of network community detection

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.