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US patents

About this network

This is the citation network of patents registered with the United States Patent and Trademark Office. Each node is a patent, and a directed edge represents a patent and an edge represents a citation. The network contain loops, i.e., self-citations.

Network info

CodePC
Category Citation
Data source http://www.nber.org/patents/
Vertex type Patent
Edge type Citation
FormatDirected: Edges are directed Directed
Edge weightsUnweighted: Simple edges Unweighted
Metadata Acyclic:  No directed cycles are present Acyclic
Size3,774,768 vertices (patents)
Volume16,518,947 edges (citations)
Average degree (overall)8.7523 edges / vertex
Fill1.1593 10–6 edges / vertex2
Maximum degree793 edges
Reciprocity0%
Size of LCC3,764,117 vertices
Size of LSCC1 vertex (network is acyclic)
Wedge count335,781,273
Claw count6,803,403,509
Triangle count7,515,023
Square count341,906,226
4-tour count4,111,412,794
Power law exponent (estimated) with dmin4.0010 (dmin = 47)
Gini coefficient51.6%
Relative edge distribution entropy96.9%
Assortativity0.16768
Clustering coefficient6.71%
Diameter26 edges
90-percentile effective diameter9.48 edges
Mean shortest path length8.24 edges
Spectral norm113.04
Degree distribution of the US patents network
Degree distribution
Outdegree distribution of the US patents network
Outdegree distribution
Indegree distribution of the US patents network
Indegree distribution
Degree distribution of the US patents network
Degree distribution
Outdegree distribution of the US patents network
Outdegree distribution
Indegree distribution of the US patents network
Indegree distribution
Degree distribution of the US patents network
Degree distribution
Outdegree distribution of the US patents network
Outdegree distribution
Indegree distribution of the US patents network
Indegree distribution
Distance distribution of the US patents network
Distance distribution
Distance distribution on a logistic scale of the US patents network
Distance distribution on a logistic scale
Top-k eigenvalues of A of the US patents network
Top-k eigenvalues of A
Top-k eigenvalues of N of the US patents network
Top-k eigenvalues of N
Spectral distribution of the eigenvalues of A of the US patents network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the US patents network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the US patents network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the US patents network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the US patents network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the US patents network
Cumulative spectral distribution of L

Downloads

TSV file:downloadpatentcite.tar.bz2 (80.26 MiB)

References

[1] Us patents network dataset -- KONECT, April 2017. [ http ]
[2] Bronwyn H. Hall, Adam B. Jaffe, and Manuel Trajtenberg. The NBER patent citations data file: Lessons, insights and methodological tools. In NBER Working Papers 8498, National Bureau of Economic Research, Inc, 2001.

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