Doing a Coolhunt/Social Network Analysis of Your Own

This is an individual project as a precursor to the team project, applying the Condor social network analysis and Web coolhunting tools on a topic of your choice. You have two options:

  1. Doing an in-depth analysis of your own mailbox, to uncover the key influencers in your own social network, similar to the examples introduced in class.
  2. Applying the coolhunting blueprint introduced in class, do a Web trend monitoring and analysis task on a topic of your own choice.

You can do this project either by yourself, or at most in teams of two. You need to have chosen the topic at the latest by Ses #6. It is due Ses #12. As part of the project, you will also get an individual task (the midterm exam on Ses #12), to be done individually, but in the classroom, without the instructor present.

Presenting a Research Paper in Class

In teams of three, you are asked to present one of these topics and its associated three to four papers in class (about a 30 minute presentation) putting it in perspective with latest trends and developments, and lead a 60 minute discussion with your classmates.

16 Facebook (Group A)

Aral, Sinan, and Dylan Walker. “Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks.” Management Science 57, no. 9 (2011): 1623–39.

Traud, Amanda L., Peter J. Mucha, et al. “Social Structure of Facebook Networks.”

Hill, R. A., and R. I. M. Dunbar. “Social Network Size in Humans.” Human Nature 14, no. 1 (2003): 53–72.

18 Wikipedia (Group B)

Kittur, Aniket, and Robert E. Kraut. “Harnessing the Wisdom of Crowds in Wikipedia: Quality Through Coordination.” CSCW ‘08 Proceedings of the 2008 ACM conference on Computer supported cooperative work, 2008.

Liu, Jun, and Sudha Ram. “Who Does What: Collaboration Patterns in the Wikipedia and Their Impact on Data Quality.” ACM Transactions on Management Information Systems 2, no. 2 (2011): 175–80.

Welser, Howard T., Dan Cosley, et al. “Finding Social Roles in Wikipedia.” Proceedings of the 2011 iConference, 2011.

19 Altruism & Behavioral Economics (Group C)

Judge, Timothy A., and John D. Kammeyer-Mueller. “Happiness as a Societal Value Why Happiness Is Worthy of Study.” Academy of Management Perspectives 25, no. 1 (2008): 30–42.

Frey, Bruno S. “Happy People Live Longer.” Science 331, no. 6017 (2011): 542–3.

Ariely, Dan, Uri Gneezy, et al. “Large Stakes and Big Mistakes.” Review of Economic Studies 76, no. 2 (2009): 451–69.

24 Twitter and Prediction Markets (Group D)

Bollen, Johan, Bruno Goncalves, et al. “Happiness is Assortative in Online Social Networks.” Artificial Life 17, no. 3 (2011): 237–51.

Bollen, Johan, Huina Mao, et al. “Twitter Mood Predicts the Stock Market.” Journal of Computational Science 2, no. 1 (2011): 1–8.

Wolfers, Justin, and Eric Zitzewitz. “Prediction Markets.” Journal of Economic Perspectives 18, no. 2 (2004): 107–26.

Ott, Myle, Yejin Choi, et al. “Finding Deceptive Opinion Spam by Any Stretch of the Imagination.” HLT ‘11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011.

Course Info

As Taught In
Fall 2011
Learning Resource Types
Lecture Notes
Presentation Assignments
Programming Assignments