konect logo
KONECT
KONECT > Networks > Jester 100

Jester 100

About this network

This weighted network contains information about how users rated a total ammount of 100 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 and right nodes are jokes.

Network info

CodeJ1
Category Rating
Date of origin1999 – 2003
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
Size146,942 = 73,521 + 73,421 vertices (users + jokes)
Volume4,136,360 edges (ratings)
Average degree (overall)112.52 edges / vertex
Average user degree56.338 edges / vertex
Average joke degree41364. edges / vertex
Fill0.56338 edges / vertex2
Maximum degree73,413 edges
Negativity45.6%
Wedge count102,339,759,934
Claw count1.9072633533446460 1015
Square count2,599,984,203,310
4-tour count21,209,254,824,380
Power law exponent (estimated) with dmin2.0910 (dmin = 23)
Gini coefficient64.6%
Relative edge distribution entropy75.7%
Assortativity–0.41370
Diameter4 edges
90-percentile effective diameter1.90 edges
Mean shortest path length2.00 edges
Spectral norm3007.6
Algebraic connectivity8.9243
User degree distribution of the Jester 100 network
User degree distribution
Joke degree distribution of the Jester 100 network
Joke degree distribution
User degree distribution of the Jester 100 network
User degree distribution
Joke degree distribution of the Jester 100 network
Joke degree distribution
Left degree distribution of the Jester 100 network
Left degree distribution
Right degree distribution of the Jester 100 network
Right degree distribution
Degree distribution of the Jester 100 network
Degree distribution
User degree distribution of the Jester 100 network
User degree distribution
Joke degree distribution of the Jester 100 network
Joke degree distribution
Distance distribution of the Jester 100 network
Distance distribution
Distance distribution on a logistic scale of the Jester 100 network
Distance distribution on a logistic scale
Top-k eigenvalues of L of the Jester 100 network
Top-k eigenvalues of L
Spectral distribution of the eigenvalues of A of the Jester 100 network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Jester 100 network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Jester 100 network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Jester 100 network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Jester 100 network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Jester 100 network
Cumulative spectral distribution of L

Downloads

TSV file:downloadjester1.tar.bz2 (13.30 MiB)

References

[1] Jester 100 network dataset -- KONECT, April 2017. [ 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.

BibTeX