KONECT – The Koblenz Network Collection

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We present the Koblenz Network Collection (KONECT), a project to collect network datasets in the areas of web science, network science and related areas, as well as provide tools for their analysis. In the cited areas, a surprisingly large number of very heterogeneous data can be modeled as networks and consequently, a unified representation of networks can be used to gain insight into many kinds of problems. Due to the emergence of the World Wide Web in the last decades many such datasets are now openly available. The KONECT project thus has the goal of collecting many diverse network datasets from the Web, and providing a way for their systematic study. The main parts of KONECT are (1)~a collection of over 160 network datasets, consisting of directed, undirected, unipartite, bipartite, weighted, unweighted, signed and temporal networks collected from the Web, (2)~a Matlab toolbox for network analysis and (3)~a website giving a compact overview the various computed statistics and plots. In this paper, we describe KONECT's taxonomy of networks datasets, give an overview of the datasets included, review the supported statistics and plots, and briefly discuss KONECT's role in the area of web science and network science.

Education Technology Business

KONECT
The Koblenz Network Collection
Jérôme Kunegis
Institute for Web Science and Technologies (WeST), University of Koblenz–Landau
With acknowledgments to everyone who has made network datasets available to the public

Jérôme Kunegis KONECT – The Koblenz Network Collection 2
What Is Koblenz?

Jérôme Kunegis KONECT – The Koblenz Network Collection 3
My PhD Thesis

Jérôme Kunegis KONECT – The Koblenz Network Collection 4
The Trick Is…

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Everything Is a NETWORK !

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Well, Only Almost Everything Is a Network
Communication
Authorship
Friendship
Interaction
Trust
Co-occurrence

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A Network Dataset Is Like a Gummi Bear

Jérôme Kunegis KONECT – The Koblenz Network Collection 8
A Network Dataset Is Like a Gummi Bear
Lots of content
to analyse
Evaluate
prediction
algorithms
Test network
models
Test search and
recommender
systems

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When You Have Tested One, You Have Tested All ?!

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Or Do You?

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Diversity of Network Datasets

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Overview
Total: 168 datasets

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Network Formats
U • Undirected D • Directed B • Bipartite

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Edge Weight and Multiplicity Types
= • Multiple + • Positive
w > 0
± • Signed
– • Unweighted
w ± 1
* • Rating
★★★★★
*
*
• Multiple Ratings
★★★★★

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Timestamps
t = 1 t = 2 t = 3

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Example Dataset

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Network Comparison

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Network Comparison: Plots

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More Plots

Jérôme Kunegis KONECT – The Koblenz Network Collection 20
Download

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RDF

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Matlab Toolbox

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Handbook of Network Analysis
http://konect.uni-koblenz.de/publications

http://konect.uni-koblenz.de/
@KONECTproject
Give Me
Datasets!

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KONECT – The Koblenz Network Collection

1. KONECT The Koblenz Network Collection Jérôme Kunegis Institute for Web Science and Technologies (WeST), University of Koblenz–Landau With acknowledgments to everyone who has made network datasets available to the public

2. Jérôme Kunegis KONECT – The Koblenz Network Collection 2 What Is Koblenz?

3. Jérôme Kunegis KONECT – The Koblenz Network Collection 3 My PhD Thesis

4. Jérôme Kunegis KONECT – The Koblenz Network Collection 4 The Trick Is…

5. Jérôme Kunegis KONECT – The Koblenz Network Collection 5 Everything Is a NETWORK !

6. Jérôme Kunegis KONECT – The Koblenz Network Collection 6 Well, Only Almost Everything Is a Network Communication Authorship Friendship Interaction Trust Co-occurrence

7. Jérôme Kunegis KONECT – The Koblenz Network Collection 7 A Network Dataset Is Like a Gummi Bear

8. Jérôme Kunegis KONECT – The Koblenz Network Collection 8 A Network Dataset Is Like a Gummi Bear Lots of content to analyse Evaluate prediction algorithms Test network models Test search and recommender systems

9. Jérôme Kunegis KONECT – The Koblenz Network Collection 9 When You Have Tested One, You Have Tested All ?!

10. Jérôme Kunegis KONECT – The Koblenz Network Collection 10 Or Do You?

11. Jérôme Kunegis KONECT – The Koblenz Network Collection 11 Diversity of Network Datasets

12. Jérôme Kunegis KONECT – The Koblenz Network Collection 12 Overview Total: 168 datasets

13. Jérôme Kunegis KONECT – The Koblenz Network Collection 13 Network Formats U • Undirected D • Directed B • Bipartite

14. Jérôme Kunegis KONECT – The Koblenz Network Collection 14 Edge Weight and Multiplicity Types = • Multiple + • Positive w > 0 ± • Signed – • Unweighted w ± 1 * • Rating ★★★★★ * * • Multiple Ratings ★★★★★

15. Jérôme Kunegis KONECT – The Koblenz Network Collection 15 Timestamps t = 1 t = 2 t = 3

16. Jérôme Kunegis KONECT – The Koblenz Network Collection 16 Example Dataset

17. Jérôme Kunegis KONECT – The Koblenz Network Collection 17 Network Comparison

18. Jérôme Kunegis KONECT – The Koblenz Network Collection 18 Network Comparison: Plots

19. Jérôme Kunegis KONECT – The Koblenz Network Collection 19 More Plots

20. Jérôme Kunegis KONECT – The Koblenz Network Collection 20 Download

21. Jérôme Kunegis KONECT – The Koblenz Network Collection 21 RDF

22. Jérôme Kunegis KONECT – The Koblenz Network Collection 22 Matlab Toolbox

23. Jérôme Kunegis KONECT – The Koblenz Network Collection 23 Handbook of Network Analysis http://konect.uni-koblenz.de/publications

24. http://konect.uni-koblenz.de/ @KONECTproject Give Me Datasets!

KONECT – The Koblenz Network Collection

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