English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Characterizing a social bookmarking and tagging network

Angelova, R., Lipczak, M., Milios, E., & Prałat, P. (2008). Characterizing a social bookmarking and tagging network. In Proceedings of the ECAI 2008 Workshop on Mining Social Data (MSoDa) (pp. 21-25). http://www.iospress.nl/: IOS.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Angelova, Ralitsa1, Author           
Lipczak, Marek, Author
Milios, Evangelos, Author
Prałat, Paweł, Author
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

Content

show
hide
Free keywords: -
 Abstract: Social networks and collaborative tagging systems are rapidly gaining popularity as a primary means for storing and sharing data among friends, family, colleagues, or perfect strangers as long as they have common interests. del.icio.us is a social network where people store and share their personal bookmarks. Most importantly, users tag their bookmarks for ease of information dissemination and later look up. However, it is the friendship links, that make delicious a social network. They exist independently of the set of bookmarks that belong to the users and have no relation to the tags typically assigned to the bookmarks. To study the interaction among users, the strength of the existing links and their hidden meaning, we introduce implicit links in the network. These links connect only highly “similar” users. Here, similarity can reflect different aspects of the user’s profile that makes her similar to any other user, such as number of shared bookmarks, or similarity of their tags clouds. We investigate the question whether friends have common interests, we gain additional insights on the strategies that users use to assign tags to their bookmarks, and we demonstrate that the graphs formed by implicit links have unique properties differing from binomial random graphs or random graphs with an expected power-law degree distribution.

Details

show
hide
Language(s): eng - English
 Dates: 2009-03-202008
 Publication Status: Issued
 Pages: -
 Publishing info: http://www.iospress.nl/ : IOS
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 427976
URI: http://mlkd.csd.auth.gr/msoda/program.html
Other: Local-ID: C125756E0038A185-5221720F19835191C125747A002EE741-Lipczak2007
 Degree: -

Event

show
hide
Title: Untitled Event
Place of Event: Patras, Greece
Start-/End Date: 2008-07-21 - 2008-07-21

Legal Case

show

Project information

show

Source 1

show
hide
Title: Proceedings of the ECAI 2008 Workshop on Mining Social Data (MSoDa)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: http://www.iospress.nl/ : IOS
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 21 - 25 Identifier: -