Difference between revisions of "Compare Modeling Contagion Through Facebook News Feed and Cascading Behavior in Large Blog Graphs"
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== Dataset == | == Dataset == | ||
| − | The paper [http://cs.stanford.edu/people/jure/pubs/blogs-sdm07.pdf 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] | + | The paper [http://cs.stanford.edu/people/jure/pubs/blogs-sdm07.pdf 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] and |
== Method == | == Method == | ||
| + | Both two papers conduct some descriptive statistics to get insights from datasets. Based on the obtained observations, the authors propose some models for fitting the dataset. Two different methods are used in the two paper. In the paper [http://cs.stanford.edu/people/jure/pubs/blogs-sdm07.pdf Cascading Behavior in Large Blog Graphs], the authors use [http://en.wikipedia.org/wiki/Compartmental_models_in_epidemiology#The_SIS_model SIS model] and its variations, while in paper http://snap.stanford.edu/class/cs224w-readings/sun09contagion.pdf Gesundheit! Modeling Contagion through Facebook News Feed], [[Binomial regression]] is used. | ||
== Other == | == Other == | ||
Revision as of 23:13, 5 November 2012
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 Gesundheit! Modeling Contagion through Facebook News Feed and
Method
Both two papers conduct some descriptive statistics to get insights from datasets. Based on the obtained observations, the authors propose some models for fitting the dataset. Two different methods are used in the two paper. In the paper Cascading Behavior in Large Blog Graphs, the authors use SIS model and its variations, while in paper http://snap.stanford.edu/class/cs224w-readings/sun09contagion.pdf Gesundheit! Modeling Contagion through Facebook News Feed], Binomial regression is used.
Other
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
