Compare Modeling Contagion Through Facebook News Feed and Cascading Behavior in Large Blog Graphs

This page shows a comparison between two scientific papers: Gesundheit! Modeling Contagion through Facebook News Feed (AAAI 2009) and [Cascading Behavior in Large Blog Graphs (SDM 2007). This page is written by Tuan Anh.

Problem

Both the two papers present empirical studies on how information diffuse in social media and propose models for modeling the diffusion process. However, each paper focus on a different perspective of diffusion. In the paper [Cascading Behavior in Large Blog Graphs, the authors employ the independent cascade model and studies size and shape of the cascades; and propose generative models fitting the observed data. On the other hand, the paper Gesundheit! Modeling Contagion through Facebook News Feed focuses on analyzing effects of the starter nodes (the one starting the diffusion) on scale of diffusion, e.g., the chain length.

Dataset

The paper [Cascading Behavior in Large Blog Graphs use a large blog dataset which allow explicit diffusion of information can easily be tracked using citing link among blog post. On [http://snap.stanford.edu/class/cs224w-readings/sun09contagion.pdf Gesundheit! Modeling Contagion through Facebook News Feed (AAAI 2009) and

Additional Questions

1. How much time did you spend reading the (new, non-wikified) paper you summarized? I read the paper sometimes before, and spent about 1 hour to read it again before writing the summary.

2. How much time did you spend reading the old wikified paper? 1 hour

3. How much time did you spend reading the summary of the old paper? 10 minutes

4. How much time did you spend reading background materiel? 20 minutes

5. Was there a study plan for the old paper? Yes