Science / Albany / New York / Washington / DC / Glencoe / San Jose / /
Company
State University of New York Press / Amazon / Twitter / YouTube / Facebook / User/Machine Systems / 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 / mass communications / e-commerce site / e - commerce / social network / scale-free networks / scale using internet chain-letter data / random networks / /
Organization
American Statistical Association / Harvard / Association of Computing Machinery / University of Michigan / Web Intelligence / National Academy of Sciences / State University of New York / National Academy of Science / Stanford / Compiegne University of Technology / /
Person
Duncan J. Watts / Sharad Goel / / /
Position
RT / messenger / simple model of information cascades / D. Fisher / and S. Gilbert / author / model for targeting users / URL General / Sociology General / representative / prince of wales hospital / simple model of information cascades on random networks / D. J. / /
ProgrammingLanguage
DC / /
ProvinceOrState
Illinois / New York / Michigan / California / /
PublishedMedium
Journal of Conflict Resolution / American Journal of Sociology / Journal of Consumer Research / Physical Review Letters / 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
API / viral marketing / cellular telephone / Data Mining / /
Identifying ‘Influencers’ on Twitter Eytan Bakshy∗ Jake M. Hofman University of Michigan, USA