Adolescent health

This directed network was created from a survey that took place in 1994/1995. Each student was asked to list his 5 best female and his 5 male friends. A node represents a student and an edge between two students shows that the left student chose the right student as a friend. Higher edge weights indicate more interactions and a edge weight shows that there is no common activity at all.


Internal namemoreno_health
NameAdolescent health
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Human social network
Node meaningStudent
Edge meaningFriendship
Network formatUnipartite, directed
Edge typePositive weights, no multiple edges
ReciprocalContains reciprocal edges
Directed cyclesContains directed cycles
LoopsDoes not contain loops


Size n =2,539
Volume m =12,969
Loop count l =0
Wedge count s =99,247
Claw count z =740,457
Cross count x =2,920,116
Triangle count t =4,694
Square count q =17,977
4-Tour count T4 =561,714
Maximum degree dmax =36
Maximum outdegree d+max =10
Maximum indegree dmax =27
Average degree d =10.215 8
Fill p =0.002 012 58
Size of LCC N =2,539
Size of LSCC Ns =2,155
Relative size of LSCC Nrs =0.848 759
Diameter δ =10
50-Percentile effective diameter δ0.5 =4.064 73
90-Percentile effective diameter δ0.9 =5.304 82
Median distance δM =5
Mean distance δm =4.516 47
Gini coefficient G =0.299 855
Balanced inequality ratio P =0.389 699
Outdegree balanced inequality ratio P+ =0.407 819
Indegree balanced inequality ratio P =0.361 786
Relative edge distribution entropy Her =0.981 136
Power law exponent γ =1.514 12
Tail power law exponent γt =8.251 00
Tail power law exponent with p γ3 =8.251 00
p-value p =0.422 000
Outdegree tail power law exponent with p γ3,o =8.381 00
Outdegree p-value po =0.000 00
Indegree tail power law exponent with p γ3,i =7.081 00
Indegree p-value pi =0.436 000
Degree assortativity ρ =+0.251 286
Degree assortativity p-value pρ =1.605 64 × 10−298
In/outdegree correlation ρ± =+0.260 294
Clustering coefficient c =0.141 888
Directed clustering coefficient c± =0.149 544
Spectral norm α =59.167 9
Operator 2-norm ν =31.946 0
Cyclic eigenvalue π =27.584 2
Algebraic connectivity a =0.510 714
Reciprocity y =0.387 694
Non-bipartivity bA =0.548 498
Normalized non-bipartivity bN =0.216 902
Algebraic non-bipartivity χ =0.319 993
Spectral bipartite frustration bK =0.009 713 80


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

Double Laplacian graph drawing

Delaunay graph drawing

In/outdegree scatter plot

Edge weight/multiplicity distribution

Clustering coefficient distribution

Average neighbor degree 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] James Moody. Peer influence groups: Identifying dense clusters in large networks. Soc. Netw., 23(4):261–283, 2001.