Cart (Loading....) | Create Account
Close category search window
 

Capturing On-Line Social Network Link Dynamics Using Event-Driven Sampling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Corlette, D. ; Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA ; Shipman, F.

This paper examines the application of an event-driven sampling (EDS) approach to the LiveJournal social network. The intention of the EDS approach is to capture both the content of user blogs in conjunction with their friendship link dynamics over time with a time step of a single day and with high accuracy. The EDS approach makes use of the "always on" Atom feed provided by LiveJournal that contains all public blog posts in near real-time to inform the sampling process of user friendship networks. This has the effect of targeting sampling towards the public active users of the network. We show that the EDS approach is capable of maintaining 98% daily accuracy across all user friendship link dynamics for the class of users that are both public and active. We show that the group of public active users represents approximately 85% of the active network mass. Analysis shows that the network model maintains both small-world and scale-free properties. Data used for the analysis of the EDS technique spans a period of seven months and involves the analysis of data from 4.8 million users and approximately 34 million friendship links. To our knowledge our study is the first to look at and analyze the use of an ldquoalways onrdquo Atom feed like the one provided by LiveJournal to inform a sampling process targeted at capturing user blogs in conjunction with user link dynamics over time within the context of an on-line social network.

Published in:

Computational Science and Engineering, 2009. CSE '09. International Conference on  (Volume:4 )

Date of Conference:

29-31 Aug. 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.