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Predicting Product Adoption in Large-Scale Social Networks

Predicting Product Adoption in Large-Scale Social Networks . Offensive: Hao Chen. General Problems:. Can IM system be a good social network example? By only study one product sample, can we generalize the universe of all niche products. General Problems:.

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Predicting Product Adoption in Large-Scale Social Networks

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  1. Predicting Product Adoption in Large-Scale Social Networks Offensive: Hao Chen

  2. General Problems: • Can IM system be a good social network example? • By only study one product sample, can we generalize the universe of all niche products.

  3. General Problems: • Only 5 citations, not much contribution to field. • The paper is not well structured. • Left lots of figures and tables without detailed information. • Not giving clear definition of jargon(cascade of adoption).

  4. Dataset Problems: • Used a large scale data without detailed information. • Did the database change in two years? • “Re-scaled for confidentiality reasons.” • Is the given data sufficient?

  5. Dataset Problems: • In which country did they gather the data. • Country is most important factor. • Different conclusion in different countries?

  6. Analyzing Influencers: • What kind of marketing strategy is used in this analysis? • Direct Marketing or Social Neighborhood Marketing? • Unconvincing conclusion: peer pressure is more important. • In other social network.

  7. Analyzing Influencers: • What is the connectivity of the premium subgraph? • Size of connected subgraph in average?

  8. Analyzing Influencers: • What is the standard to decide high-degree users? • Dose high-degree users equal to influencers? • Unconvincing simplicity.

  9. Analyzing Influencers: • Registration information:

  10. Analyzing Influencers: • What is the value of x?

  11. Analyzing Influencers:

  12. Evaluating Marketing Strategies: • Using some machine learning algorithms without explanation. • Why did you choose this algorithm.

  13. Evaluating Marketing Strategies: • How to evaluate the different methods:

  14. Thank you!

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