SNAP

Stanford University

PubMed
Indexed incrossrefpubmed

Abstract

Large networks are becoming a widely used abstraction for studying complex systems in a broad set of disciplines, ranging from social network analysis to molecular biology and neuroscience. Despite an increasing need to analyze and manipulate large networks, only a limited number of tools are available for this task. Here, we describe Stanford Network Analysis Platform (SNAP), a general-purpose, high-performance system that provides easy to use, high-level operations for analysis and manipulation of large networks. We present SNAP functionality, describe its implementational details, and give performance benchmarks. SNAP has been developed for single big-memory machines and it balances the trade-off between…

Citation impact

850
total citations
FWCI
61.22
Percentile
100%
References
68
Citations per year

Authors

2

Topics & keywords

Keywords
  • Computer science
  • Python (programming language)
  • Theoretical computer science
  • Distributed computing
  • Dynamic network analysis
  • Computation
  • Set (abstract data type)
  • Graph
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Funding