Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgements
- Roadmap
- 1 What makes CDMA work for my smartphone?
- 2 How does Google sell ad spaces?
- 3 How does Google rank webpages?
- 4 How does Netflix recommend movies?
- 5 When can I trust an average rating on Amazon?
- 6 Why does Wikipedia even work?
- 7 How do I viralize a YouTube video and tip a Groupon deal?
- 8 How do I influence people on Facebook and Twitter?
- 9 Can I really reach anyone in six steps?
- 10 Does the Internet have an Achilles' heel?
- 11 Why do AT&T and Verizon Wireless charge me $10 a GB?
- 12 How can I pay less for each GB?
- 13 How does traffic get through the Internet?
- 14 Why doesn't the Internet collapse under congestion?
- 15 How can Skype and Bit Torrent be free?
- 16 What's inside the cloud of iCloud?
- 17 IPTV and Netflix: How can the Internet support video?
- 18 Why is WiFi faster at home than at a hotspot?
- 19 Why am I getting only a few % of the advertised 4G speed?
- 20 Is it fair that my neighbor's iPad downloads faster?
- Index
- Notes
7 - How do I viralize a YouTube video and tip a Groupon deal?
Published online by Cambridge University Press: 05 November 2012
- Frontmatter
- Contents
- Preface
- Acknowledgements
- Roadmap
- 1 What makes CDMA work for my smartphone?
- 2 How does Google sell ad spaces?
- 3 How does Google rank webpages?
- 4 How does Netflix recommend movies?
- 5 When can I trust an average rating on Amazon?
- 6 Why does Wikipedia even work?
- 7 How do I viralize a YouTube video and tip a Groupon deal?
- 8 How do I influence people on Facebook and Twitter?
- 9 Can I really reach anyone in six steps?
- 10 Does the Internet have an Achilles' heel?
- 11 Why do AT&T and Verizon Wireless charge me $10 a GB?
- 12 How can I pay less for each GB?
- 13 How does traffic get through the Internet?
- 14 Why doesn't the Internet collapse under congestion?
- 15 How can Skype and Bit Torrent be free?
- 16 What's inside the cloud of iCloud?
- 17 IPTV and Netflix: How can the Internet support video?
- 18 Why is WiFi faster at home than at a hotspot?
- 19 Why am I getting only a few % of the advertised 4G speed?
- 20 Is it fair that my neighbor's iPad downloads faster?
- Index
- Notes
Summary
A quick recap of where we have been so far in the space of online services and web 2.0. In Chapter 3, we discussed the recommendation of webpages with an objective metric computed by Google from the graph of hyperlinked webpages. In Chapter 4, we discussed the recommendation of movies with subjective opinions estimated by Net ix from movie–user bipartite graphs.
Then we investigated the wisdom of crowds. In Chapter 5, we discussed aggregation of opinion in (more or less) independent ratings on Amazon. In Chapter 6, we discussed resolution of opinion conflicts in Wikipedia.
In this chapter, we will talk about dependence of opinions, taking a macroscopic, topology-agnostic approach, and focusing on the viral effect in YouTube and tipping in Groupon. Then in the next chapter, we will talk about the effect of network topology on the dependence of opinion.
As will be further illustrated in this and the next chapters, network effects can be positive or negative. They can also be studied as externalities (e.g., coupling in the objective function or the constraint functions, where each user's utility or constraint depends on other users' actions), or as information dependence (e.g., information cascades or product diffusion as we will see in this chapter).
A Short Answer
Viralization
YouTube is a “viral” phenomenon itself. In the space of user-generated video content, it has become the dominant market leader, exhibiting the “winner takes all” phenomenon. More recently it has also featured movies for purchase or rental, and commissioned professional content, to compete against Apple's iTunes and the studios.
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- Information
- Networked Life20 Questions and Answers, pp. 129 - 157Publisher: Cambridge University PressPrint publication year: 2012