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Jester 150

About this network

This weighted network contains information about how users rated a total ammount of 150 jokes. Not every user rated every joke. Rating values are continuous values between −10 and +10. An edge shows that a user has rated a joke. Left nodes are users; right nodes are jokes.

Network info

CodeJ2
Category Rating
Date of origin2006-11 – 2012-11
Data source http://eigentaste.berkeley.edu/dataset/
Vertex type User, joke
Edge type Rating
FormatBipartite: Edges connect two types of nodes Bipartite
Edge weightsRatings: Edges are ratings Ratings
Size101,524 = 50,832 + 50,692 vertices (users + jokes)
Volume1,728,847 edges (ratings)
Average degree (overall)68.022 edges / vertex
Average user degree34.105 edges / vertex
Average joke degree12349. edges / vertex
Fill0.24361 edges / vertex2
Maximum degree50,692 edges
Negativity44.6%
Wedge count19,185,429,458
Claw count2.2001768699670900 × 1014
Square count266,934,299,745
4-tour count2,212,223,162,138
Power law exponent (estimated) with dmin1.8810 (dmin = 8)
Gini coefficient73.8%
Relative edge distribution entropy75.9%
Assortativity–0.49264
Diameter3 edges
90-percentile effective diameter1.90 edges
Mean shortest path length2.00 edges
Spectral norm1863.2
Algebraic connectivity2.2152
User degree distribution of the Jester 150 network
User degree distribution
Joke degree distribution of the Jester 150 network
Joke degree distribution
User degree distribution of the Jester 150 network
User degree distribution
Joke degree distribution of the Jester 150 network
Joke degree distribution
Left degree distribution of the Jester 150 network
Left degree distribution
Right degree distribution of the Jester 150 network
Right degree distribution
Degree distribution of the Jester 150 network
Degree distribution
User degree distribution of the Jester 150 network
User degree distribution
Joke degree distribution of the Jester 150 network
Joke degree distribution
Distance distribution of the Jester 150 network
Distance distribution
Distance distribution on a logistic scale of the Jester 150 network
Distance distribution on a logistic scale
Top-k eigenvalues of L of the Jester 150 network
Top-k eigenvalues of L
Spectral distribution of the eigenvalues of A of the Jester 150 network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Jester 150 network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Jester 150 network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Jester 150 network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Jester 150 network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Jester 150 network
Cumulative spectral distribution of L

Downloads

TSV file:downloadjester2.tar.bz2 (5.98 MiB)

References

[1] Jester 150 network dataset -- KONECT, October 2016. [ http ]
[2] Ken Goldberg, Theresa Roeder, Dhruv Gupta, and Chris Perkins. Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval, 4(2):133--151, 2001.

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