LARGE-SCALE ONLINE SOCIAL NETWORKS / A. Modeling Social Networks / Myspace / Twitter / Google / Facebook / OSNs / /
Currency
pence / / /
Event
Company Expansion / /
Facility
Stanford University / The Chinese University of Hong Kong / /
IndustryTerm
influence algorithms / power-law distribution / given product / power law graph / bottom-up updating algorithm / large social networks / realistic social networks / law random graph / Online Social Networks / power law / social networks / realistic social network / real social networks / above algorithm / social network / advertising strategies / infinite random power law graph / connected network / smallest non-negative solution / power law distribution / degree networks / search results / product advertising problem / collaboration network / targeted advertisements / power law random graphs / /
Organization
Department of Computer Science / Chinese University of Hong Kong / Hong Kong / Stanford University / Department of Computer Science & Engineering / U.S. Securities and Exchange Commission / /
Person
CALE - FREE G RAPH / Yongkun Li / Bridge Qiao Zhao / John C.S. Lui / /
Position
model for graphs with high clustering coefficient / Contact author / model for advertising with multiple rating levels / General / /
ProvinceOrState
British Columbia / /
SportsLeague
Stanford University / /
Technology
above algorithm / same bottom-up updating algorithm / following algorithm / influence algorithms / Monte Carlo algorithm / simulation / two algorithms / /
IEEE/ACM TRANSACTIONS ON NETWORKING 1 On Modeling Product Advertisement in Large Scale Online Social Networks