Random hypergraphs and their applications

Physics – Physics and Society

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

11 pages, 7 figures

Scientific paper

10.1103/PhysRevE.79.066118

In the last few years we have witnessed the emergence, primarily in on-line communities, of new types of social networks that require for their representation more complex graph structures than have been employed in the past. One example is the folksonomy, a tripartite structure of users, resources, and tags -- labels collaboratively applied by the users to the resources in order to impart meaningful structure on an otherwise undifferentiated database. Here we propose a mathematical model of such tripartite structures which represents them as random hypergraphs. We show that it is possible to calculate many properties of this model exactly in the limit of large network size and we compare the results against observations of a real folksonomy, that of the on-line photography web site Flickr. We show that in some cases the model matches the properties of the observed network well, while in others there are significant differences, which we find to be attributable to the practice of multiple tagging, i.e., the application by a single user of many tags to one resource, or one tag to many resources.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Random hypergraphs and their applications does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Random hypergraphs and their applications, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Random hypergraphs and their applications will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-652402

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.