Science / Albany / Raleigh / New York / Washington / DC / Atlanta / Glencoe / Virginia Beach / San Jose / Florence / /
Company
State University of New York Press / Amazon / Westview Press / Twitter / YouTube / Facebook / Chapman & Hall/CRC Press / User/Machine Systems / Las Vegas NV / TinyURL / Yahoo! / /
Country
France / United States / /
Currency
USD / / /
Event
Person Communication and Meetings / /
Facility
Twitter Eytan Bakshy∗ Jake M. Hofman University of Michigan / Compiegne University of Technology / /
IndustryTerm
news media / messenger network / transmission network / media representatives / user-declared networks / shareable media / e-commerce site / Web Search / e - commerce / social network / scale using internet chain-letter data / random networks / /
MusicGroup
Flow / /
Organization
American Statistical Association / Harvard / University of Michigan / Web Intelligence / National Academy of Sciences / State University of New York / National Academy of Science / Stanford / Association for Computational Linguistics / Compiegne University of Technology / /
regression tree model for all five cross-validation folds / RT / previously unknown author / General / messenger / simple model of information cascades / D. Fisher / and S. Gilbert / author / model for targeting users / representative / simple model of information cascades on random networks / D. J. / /
ProgrammingLanguage
DC / /
ProvinceOrState
Virginia / Illinois / New York / Michigan / North Carolina / California / Georgia / /
PublishedMedium
Computational Linguistics / Journal of Consumer Research / Proceedings of the National Academy of Sciences / Free Press / New York Press / Journal of the American Statistical Association / American Sociological Review / Harvard Business Review / /
Technology
Social Networking Technology / API / viral marketing / cellular telephone / Natural Language Processing / Knowledge Management / Data Mining / /
Everyone’s an Influencer: Quantifying Influence on Twitter Eytan Bakshy∗ Jake M. Hofman