Network Structure of Folksonomies

author: Vito D. P. Servedio, Department of Physics, University of Rome 'La Sapienza'

Description

Folksonomies can be viewed as three mode graphs or as graphs made up of nodes (tags, users, resources) connected by hyper-edges. I shall report on some network statistical properties of a folksonomy graph based on data collected for the del.icio.us system. Moreover, by introducing a suitable distance between resources based on tag co-occurrence, I shall show that folksonomies embed a meaningful semantic clusterization of resources.

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*Slides*
0:00	Network Structure of Folksonomies
0:21	In collaboration with:
1:28	AGENDA - Properties of folksonomy hypergraphs
2:30	a folksonomy example: del.icio.us screenshot
3:02	data structure: basic units of information
4:08	folksonomy hypergraph structure
4:56	data collection
5:45	artificial networks: permuted and binomial
7:26	average path length (extimated)
10:21	cliquishness
12:34	connectedness / transitivity
13:56	AGENDA - Network of tag co-occurrences
14:24	networks of tag co-occurrence
17:01	weighted network of tag co-occurrence
18:47	strength cumulative distribution
21:31	Average neighbour strength - part 1
22:08	Average neighbour strength - part 2
24:41	AGENDA - Clustering of resources
24:48	19clustering and community detection
25:42	resource similarity network
27:14	tag clouds for resources
28:07	similarity metrics
28:57	case in study
29:40	similarity matrix
31:18	spectral analysis
32:28	cluster identification
33:56	cooperative classification
34:27	Conclusions and outlooks

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