Oxford University Press / Academic Press Inc. / Scale-Free Networks / Cobham / Twitter / /
Country
United States / /
Facility
Women’s Hospital / Northeastern University / Dana Farber Cancer Institute / /
IndustryTerm
law pr / social media / mobile communications / Online Message datasets / random communications / Basic measures characterizing networks / social networking / Online Message / real time activity patterns / power law model / highthroughput tools / Online Messages dataset / power law tail / consecutive communications / power law / social networks / Online Messages / social network / repeated communications / /
Organization
Harvard Medical School / National Science Foundation / Department of Physics / Biology and Computer Science / Northeastern University / Boston / Society of America / Women’s Hospital / Oxford University / Network Science Collaborative Technology Alliance / National Academy of Sciences / Department of Medicine / Brigham and Women / Center for Cancer Systems Biology / Dana Farber Cancer Institute / American Society for Information Science / Center for Complex Network Research / /
Person
S. Bernhardsson / V / / /
Position
power law model for all datasets / /
ProvinceOrState
Massachusetts / /
PublishedMedium
Proceedings of the National Academy of Sciences / PLoS One / Reviews of Modern Physics / Physical Review / Physical Review Letters / Condensed Matter / /
Technology
cellular telephone / PKI / mobile phones / mobile devices / /
Connections between Human Dynamics and Network Science Chaoming Song,1, 2 Dashun Wang,1, 2 and Albert-László Barabási1, 2, 3 1 Center for Complex Network Research, Department of Physics, Biology and Computer Science,