I am a postdoctoral researcher at the University of California, Davis and was previously a postdoc at Duke University where I worked on the NSF EAGER grant. lead the social media analysis portion of the Knowledge Networks Project at the Department of Environmental Science and Policy at UC Davis. This includes gathering social media data and applying network analysis to understand communication dynamics.

Before coming to UC Davis and Duke I was a postdoctoral fellow at the University of São Paulo, where I received my PhD in Communication Sciences and taught the course Digital Forms of Public Opinion. Upon receiving my first PhD I did graduate work (ABD) and lectured at the University of Frankfurt. During this time I was also a visiting researcher at the London School of Economics and Political Science.

My research is motivated by the conflicting ecosystems of network and broadcast media, particularly the crossover between social and mainstream media. I have investigated the differences between readership in social and legacy mediathe impact of social networks to the distribution of news; the overlap between onsite and online contentious politics; and the impact of networked communication on scholarly work.

I am trained in qualitative and quantitative methods and my work relies on and related packages for statistical computing and visualization, but I am also familiar with Python for small shell-scripting, and UCINET or Gephi for visualizing and analyzing network graphs. Portuguese is my mother tongue and I am fluent in English, Spanish and German. I can read French and Italian and I am getting to grips with Gaelic.
You reach me at mar...@toledobastos.com

UC Davis


The Department of Environmental Science and Policy plays a unique role in bringing together the natural sciences and social sciences. Our graduates engage in real-world issues by collaborating with government agencies, non-profit organizations, policy-makers, scientists, members of the public, and firms.


HASTAC's EAGER NSF grant "A Data-Based Study of the Incentives and Success of an Exemplar Academic Network" uses computational analysis, data extraction, and social networking analysis to embark on the first large-scale study of the interplay of cyberinfrastructure and scholarly communication in an academic peer-produced network.