Prosper loans

This network represents loans between members of the peer-to-peer lending network at The online marketplace allows borrowers to post listings requesting loans. Lenders bid on these listings, which become loans if the amount requested is fully funded by the lenders. The network is directed from lender to borrower. Each edge also contains the time at which the loan originated, the amount requested, the loan status, the credit grade or rating of the borrower, the lender rate and the borrower rate.


Internal nameprosper-loans
NameProsper loans
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Interaction network
Node meaningPerson
Edge meaningLoan
Network formatUnipartite, directed
Edge typeUnweighted, multiple edges
Temporal data Edges are annotated with timestamps
ReciprocalContains reciprocal edges
Directed cyclesContains directed cycles
LoopsDoes not contain loops


Size n =89,269
Volume m =3,394,979
Unique edge count m̿ =3,330,225
Loop count l =0
Wedge count s =1,112,425,463
Claw count z =455,534,068,547
Cross count x =307,514,582,925,604
Triangle count t =1,158,669
Square count q =3,930,622,348
4-Tour count T4 =35,901,340,680
Maximum degree dmax =9,436
Maximum outdegree d+max =9,436
Maximum indegree dmax =1,071
Average degree d =76.061 8
Fill p =0.000 417 905
Average edge multiplicity m̃ =1.019 44
Size of LCC N =89,171
Size of LSCC Ns =3,513
Relative size of LSCC Nrs =0.039 353 0
Diameter δ =8
50-Percentile effective diameter δ0.5 =2.740 25
90-Percentile effective diameter δ0.9 =3.734 94
Median distance δM =3
Mean distance δm =3.282 31
Gini coefficient G =0.644 290
Balanced inequality ratio P =0.258 008
Outdegree balanced inequality ratio P+ =0.211 441
Indegree balanced inequality ratio P =0.322 026
Relative edge distribution entropy Her =0.929 239
Power law exponent γ =1.300 63
Tail power law exponent γt =2.191 00
Degree assortativity ρ =−0.078 326 1
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =−0.634 376
Clustering coefficient c =0.003 124 71
Directed clustering coefficient c± =0.033 515 0
Spectral norm α =347.590
Operator 2-norm ν =339.390
Cyclic eigenvalue π =11.564 3
Reciprocity y =0.000 121 914
Non-bipartivity bA =0.046 288 4
Normalized non-bipartivity bN =0.058 899 8
Algebraic non-bipartivity χ =0.365 483
Spectral bipartite frustration bK =0.001 223 38


Fruchterman–Reingold graph drawing

Degree distribution

Cumulative degree distribution

Lorenz curve

Spectral distribution of the adjacency matrix

Spectral distribution of the normalized adjacency matrix

Spectral distribution of the Laplacian

Spectral graph drawing based on the adjacency matrix

Spectral graph drawing based on the Laplacian

Spectral graph drawing based on the normalized adjacency matrix

Degree assortativity

Zipf plot

Hop distribution

Delaunay graph drawing

In/outdegree scatter plot

Edge weight/multiplicity distribution

Clustering coefficient distribution

Average neighbor degree distribution

Temporal distribution

Diameter/density evolution


Inter-event distribution

Node-level inter-event distribution

Matrix decompositions plots



[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]
[2] Ursula Redmond and Pádraig Draig Cunningham. A temporal network analysis reveals the unprofitability of arbitrage in the Prosper marketplace. Expert Syst. with Appl.: An Int. J., 40(9), 2013.