Cambridge University Press / Autonomous Systems / North Holland Publishing Company / Computer Networks / Pj / Acedemic Press / National Laboratory / Markov / /
Continent
North America / Europe / /
Currency
pence / / /
Event
M&A / /
Facility
College of Computing / National Laboratory / Boston University / Georgia Institute of Technology / /
IndustryTerm
realistic internet topologies / real Internet topologies / Internet inter-domain topology / polynomial time approximation algorithm / real Internet topology / internet power law topology generators / real-world networks / power-law random graph / Internet measurements / Public route server / Internet topologies / arbitrary power-law graphs / Internet topology / power law graphs / Internet topology generator / biological networks / real-world complex networks / sparse power-law graphs / power-law relationships / synthetic initial law sequences / web graphs / metabolic networks / network protocols / random networks / /
NaturalFeature
Havel / /
Organization
Cambridge University / National Science Foundation / Georgia Institute of Technology / Atlanta / Boston University / Stanford / College of Computing / /
Person
Jamin Govindan / Terry Winograd / Rajeev Motwani / Sergey Brin / Christos Gkantsidis† Milena Mihail / Lawrence Page / William Aiello / Claude Berge / Ellen Zegura / Willinger Shenker / Chen Chang / Max Connectivity Tests Running / Tian Bu / Don Towsley / John Kleinber / /
Position
general model for web graphs / random graph model for power law graphs / author / /
The Markov Chain Simulation Method for Generating Connected Power Law Random Graphs∗ Christos Gkantsidis† Milena Mihail‡