Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Mining knowledge-sharing sites for viral marketing
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Information diffusion through blogspace
ACM SIGKDD Explorations Newsletter
The dynamics of viral marketing
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Social Information Processing in News Aggregation
IEEE Internet Computing
User Participation in Social Media: Digg Study
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
How much do you tell?: information disclosure behaviour indifferent types of online communities
Proceedings of the fourth international conference on Communities and technologies
Evolution of an online social aggregation network: an empirical study
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Using a model of social dynamics to predict popularity of news
Proceedings of the 19th international conference on World wide web
Measurement and analysis of an online content voting network: a case study of Digg
Proceedings of the 19th international conference on World wide web
SpotRank: a robust voting system for social news websites
Proceedings of the 4th workshop on Information credibility
Outtweeting the twitterers - predicting information cascades in microblogs
WOSN'10 Proceedings of the 3rd conference on Online social networks
Social manipulation of online recommender systems
SocInfo'10 Proceedings of the Second international conference on Social informatics
A framework for quantitative analysis of cascades on networks
Proceedings of the fourth ACM international conference on Web search and data mining
Boosting video popularity through recommendation systems
Databases and Social Networks
All the news that's fit to read: finding and recommending news online
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
Is vote effective? an empirical study of community deliberation in social webs
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
Some thoughts on using argumentation to handle trust
CLIMA'11 Proceedings of the 12th international conference on Computational logic in multi-agent systems
Persuasive language and virality in social networks
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
On word-of-mouth based discovery of the web
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
A model for popularity dynamics to predict hot articles in discussion blog
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Collective attention and the dynamics of group deals
Proceedings of the 21st international conference companion on World Wide Web
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users
ACM Transactions on Intelligent Systems and Technology (TIST)
Widespread underprovision on Reddit
Proceedings of the 2013 conference on Computer supported cooperative work
Wisdom in the social crowd: an analysis of quora
Proceedings of the 22nd international conference on World Wide Web
Predicting community preference of comments on the Social Web
Web Intelligence and Agent Systems
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The social Web is transforming the way information is created and distributed. Blog authoring tools enable users to publish content, while sites such as Digg and Del.icio.us are used to distribute content to a wider audience. With content fast becoming a commodity, interest in using social networks to promote and find content has grown, both on the side of content producers (viral marketing) and consumers (recommendation). Here we study the role of social networks in promoting content on Digg, a social news aggregator that allows users to submit links to and vote on news stories. Digg's goal is to feature the most interesting stories on its front page, and it aggregates opinions of its many users to identify them. Like other social networking sites, Digg allows users to designate other users as "friends" and see what stories they found interesting. We studied the spread of interest in news stories submitted to Digg in June 2006. Our results suggest that pattern of the spread of interest in a story on the network is indicative of how popular the story will become. Stories that spread mainly outside of the submitter's neighborhood go on to be very popular, while stories that spread mainly through submitter's social neighborhood prove not to be very popular. This effect is visible already in the early stages of voting, and one can make a prediction about the potential audience of a story simply by analyzing where the initial votes come from.