EasyGraph: A Multifunctional, Cross-Platform, and Effective Library for Interdisciplinary Network Analysis

Yang Chen Professor and Doctoral Supervisor at the College of Computer Science and Artificial Intelligence, Fudan University

Yang Chen is a Professor within the College of Computer Science and Artificial Intelligence at Fudan University and a Vice Director of the Shanghai Key Lab of Intelligent Information Processing. His research interests include social computing & networking, social intelligence, interdisciplinary network analysis (for example, online/mobile social networks), network architectures and protocols, and AI for Social Science. He leads the EasyGraph project, which is an open-source library for interdisciplinary network analysis. EasyGraph has been downloaded for over 800 thousand times via PyPI. He is serving as a Senior Associate Editor of ACM Transactions on Social Computing and an Associate Editor of Computer Communications. He served as an OC / TPC Member for many international conferences, including SOSP, SIGCOMM, WWW, and MobiSys.

Abstract

Networks are effective for representing relationships between entities across a range of disciplines, and network analysis techniques are widely used for understanding various types of complex networks, e.g., social networks, biological networks, transportation networks. Network analysis tasks, such as community detection, centrality analysis, and network visualization, play important roles in many disciplines. Existing network analysis tools, however, lack efficiency in analyzing massive network data or may not provide comprehensive analysis functions, which limits their practical applicability. We present EasyGraph, an open-source library that supports many network data formats and covers important functions like structural hole spanner detection and network embedding. Notably, we have optimized several key functions for enhanced efficiency. We believe that EasyGraph is a powerful tool for dealing with major analytical tasks in complex networks across various domains. EasyGraph has been downloaded for over 800 thousand times via PyPI.

Abstract

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