M
Marta C. González
Researcher at University of California, Berkeley
Publications - 170
Citations - 18649
Marta C. González is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Population & Mobile phone. The author has an hindex of 49, co-authored 165 publications receiving 15971 citations. Previous affiliations of Marta C. González include University of Notre Dame & University of Stuttgart.
Papers
More filters
Journal ArticleDOI
Understanding individual human mobility patterns
Marta C. González,A R Cesar Hidalgo,A R Cesar Hidalgo,Albert-László Barabási,Albert-László Barabási,Albert-László Barabási +5 more
TL;DR: In this article, the authors study the trajectory of 100,000 anonymized mobile phone users whose position is tracked for a six-month period and find that the individual travel patterns collapse into a single spatial probability distribution, indicating that humans follow simple reproducible patterns.
Journal ArticleDOI
A universal model for mobility and migration patterns
Filippo Simini,Marta C. González,Amos Maritan,Albert-László Barabási,Albert-László Barabási,Albert-László Barabási +5 more
TL;DR: A stochastic process capturing local mobility decisions that helps to derive commuting and mobility fluxes that require as input only information on the population distribution is introduced, significantly improving the predictive accuracy of most of the phenomena affected by mobility and transport processes.
Journal ArticleDOI
Uncovering individual and collective human dynamics from mobile phone records
Julián Candia,Julián Candia,Marta C. González,Marta C. González,Pu Wang,Pu Wang,Timothy Schoenharl,Greg Madey,Albert-László Barabási,Albert-László Barabási +9 more
TL;DR: The mean collective behavior at large scales is studied and it is shown that the interevent time of consecutive calls is heavy-tailed, which has implications for dynamics of spreading phenomena in social networks.
Journal ArticleDOI
Understanding the spreading patterns of mobile phone viruses.
Pu Wang,Marta C. González,César A. Hidalgo,César A. Hidalgo,César A. Hidalgo,Albert-László Barabási,Albert-László Barabási +6 more
TL;DR: The mobility of mobile phone users is modeled in order to study the fundamental spreading patterns that characterize a mobile virus outbreak and it is found that although Bluetooth viruses can reach all susceptible handsets with time, they spread slowly because of human mobility, offering ample opportunities to deploy antiviral software.
Journal ArticleDOI
Origin-destination trips by purpose and time of day inferred from mobile phone data
TL;DR: This work presents methods to estimate average daily origin–destination trips from triangulated mobile phone records of millions of anonymized users, which form the basis for much of the analysis and modeling that inform transportation planning and investments.