Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Group Buying on the Web: A Comparison of Price-Discovery Mechanisms
Management Science
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ACM Transactions on Knowledge Discovery from Data (TKDD)
Journal of Management Information Systems
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User interactions in social networks and their implications
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On the evolution of user interaction in Facebook
Proceedings of the 2nd ACM workshop on Online social networks
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Patterns of influence in a recommendation network
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
The groupon effect on yelp ratings: a root cause analysis
Proceedings of the 13th ACM Conference on Electronic Commerce
Towards reliable spatial information in LBSNs
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
When daily deal services meet Twitter: understanding Twitter as a daily deal marketing platform
Proceedings of the 3rd Annual ACM Web Science Conference
Chelsea won, and you bought a t-shirt: characterizing the interplay between Twitter and e-commerce
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Exploratory and interactive daily deals recommendation
Proceedings of the 7th ACM conference on Recommender systems
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Daily deal sites have become the latest Internet sensation, providing discounted offers to customers for restaurants, ticketed events, services, and other items. We begin by undertaking a study of the economics of daily deals on the web, based on a dataset we compiled by monitoring Groupon and LivingSocial sales in 20 large cities over several months. We use this dataset to characterize deal purchases; glean insights about operational strategies of these firms; and evaluate customers' sensitivity to factors such as price, deal scheduling, and limited inventory. We then marry our daily deals dataset with additional datasets we compiled from Facebook and Yelp users to study the interplay between social networks and daily deal sites. First, by studying user activity on Facebook while a deal is running, we provide evidence that daily deal sites benefit from significant word-of-mouth effects during sales events, consistent with results predicted by cascade models. Second, we consider the effects of daily deals on the longer-term reputation of merchants, based on their Yelp reviews before and after they run a daily deal. Our analysis shows that while the number of reviews increases significantly due to daily deals, average rating scores from reviewers who mention daily deals are 10% lower than scores of their peers on average.