Related Resources

There are many related readings on the broad topic of reputation systems - we're listing a few here, but want to encourage readers that have additional resources to contribute or those who want to read the most up-to-date list to visit this book's web site:

Further Readings

The web contains thousands of white papers and blog postings related to specific reputation issues, such as ratings bias and abusing karma. The list below are a representative sample. The authors maintain an updated, comprehensive list on their Delicious bookmarks:

A Framework for Building Reputation Systems, Phillip J. Windley, Ph.D, Kevin Tew, Devlin Daley, Dept. of Computer Science Brigham Young University - one of the few papers that proposes a platform approach to reputation systems. Designing Your Reputation System - a slide show presentation by Bryce Glass, initially presented before we started on this book.

Designing Social Interfaces: Principles, Patterns, and Practices for Improving the User Experience, by Christian Crumlish and Erin Malone from O'Reilly Media and Yahoo! Press - covers not only the reputation patterns, but social patterns of all types - a definite companion for our book. The Reputation Pattern Library at the Yahoo! Developer Network - where some of the authors' thoughts were first refined into clear patterns. How to Build a Popularity Algorithm You can be Proud of, by Linkibol - An alternate approach when using a small number of ratings in a ranked list.

Reputation as Property in Virtual Economies, by Joseph Blocher, Sunday, 18 January 2009 discusses the idea that online reputation may become real-world property. Who Is Grady Harp?Amazon's Top Reviewers and the fate of the literary amateur, By Garth Risk Hallberg for Slate - one of many articles talking about the side-effects of having karma associated with commercial gain. See our Delicious bookmarks for many more of this kind of article about YouTube, Yelp, SlashDot, etc. Reputation Research Network, a clearing house for some older reputation systems research papers

Recommender Systems

Though only briefly mentioned in this book, recommender systems are an important form of web reputations, especially for entities. There are extensive libraries of research papers available on the web. Resnick, Professor University of Michigan School of Information, one of the lead researchers in reputation and recommender systems. Professor Resnick is a prolific author of relevant works.

http://www.grouplens.orgGroupLens is a research lab at the University of Minnesota with a focus in recommender systems. Robert E. Kraut is another important researcher into recommender and collaboration systems. ACM Recommender Systems conference site contains some great links to support materials, including slide decks.

Social Incentives

The “Broken Windows” effect is cited in this book in several chapters. There is some popular debate about this effect human behavior highlighted in two popular books:

The Tipping Point: How Little Things Can Make a Big Difference, by Malcolm Gladwell

Freakonomics: A Rogue Economist Explores the Explores the Hidden Side of Everything, by Steven D. Levitt, Stephen J. Dubner

They focus on the question of the effects (or lack thereof) on crime based on the New York Police Department's strict enforcement. Though we don't take a position on that specific example, we want to point out a few additional references that support the broken windows effect in other contexts:

Breakthrough on “Broken Windows” , by Carolyn Y. Johnson, February 8, 2009, The Boston Globe,

The “Broken Windows” Theory of Crime is Correct, Nov 20th 2008, The Economist

The emerging field of behavioral economics is deeply relevant to using reputation as user incentive. Papers and books are starting to emerge, but we recommend this primer for all readers:

Predictably Irrational, Dan Ariely

Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business, by Jeff Howe for Crown Business - provides some useful insight into group motivation.


Several patent applications were cited in this book, we've gathered there references here for convenience. Contributors to this section are encouraged to include other relevant intellectual property for consideration by their peers.

U.S. Patent Application 11/774,460:Detecting Spam Messages Using Rapid Sender Reputation Feedback Analysis, Miles Libbey, F. Randall Farmer, Mohammad Mohsenzadeh, Chip Morningstar, Neal Sample

U.S. Patent Application 11/945,911:Real-Time Asynchronous Event Aggregation Systems, F. Randall Farmer, Mohammad Mohsenzadeh, Chip Morningstar, Neal J. Sample

U.S. Patent Application 11/350,981:Interestingness ranking of media objects, Daniel S. Butterfield, Caterina Fake, Callum James Henderson-Begg, Serguei Mourachov

U.S. Patent Application 11/941,009:Trust Based Moderation, Ori Zaltzman and Quy Dinh Le

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