Luis M. A. Bettencourt

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We investigate the relationship between patenting activity and the population size of metropolitan areas in the United States over the last two decades (1980–2001). We find a clear superlinear effect, whereby new patents are granted disproportionately in larger urban centers, thus showing increasing returns in inventing activity with respect to population(More)
Email is an increasingly important and ubiquitous means of communication, both facilitating contact between individuals and enabling rises in the productivity of organizations. However, the relentless rise of automatic unauthorized emails, a.k.a. spam is eroding away much of the attractiveness of email communication. Most of the attention dedicated to spam(More)
We apply an information theoretic treatment of action potential time series measured with micro-electrode arrays to estimate the connectivity of mammalian neuronal cell assemblies grown in vitro. We infer connectivity between two neurons via the measurement of the mutual information between their spike trains. In addition we measure higher point(More)
BACKGROUND Intricate maps of science have been created from citation data to visualize the structure of scientific activity. However, most scientific publications are now accessed online. Scholarly web portals record detailed log data at a scale that exceeds the number of all existing citations combined. Such log data is recorded immediately upon(More)
Humans have a dual nature. We are subject to the same natural laws and forces as other species yet dominate global ecology and exhibit enormous variation in energy use, cultural diversity, and apparent social organization. We suggest scientists tackle these challenges with a macroecological approach-using comparative statistical techniques to identify deep(More)
Acknowledgements: We thank Lee Fleming for making the patent data available to us, the Harvard Business School Division of Research for assistance in assembling the patent data set, and the Santa Fe Institute and the Information Society as a Complex System (ISCOM) Project for research support. We also thank Richard Florida and Kevin Stolarick for use of(More)
We present a local, distributed algorithm to detect measurement errors and infer missing readings in environmental applications of wireless sensor networks. To bypass issues of non-stationarity in environmental data streams, each sensor-processor node learns statistical distributions of differences between its readings and the readings of its neighbors, as(More)