Rodrigo Aldecoa

  • Postdoctoral Researcher at Northeastern University
  • Simplifying Complex Networks
Rodrigo Rodrigo Aldecoa

Bio

I got my degree in Computer Engineering from the Polytechnic University of Valencia , completing a Master's Degree on Artificial Intelligence, Pattern Recognition and Digital Imaging. I also hold a Diploma in Operations Research and Systems from the University of Valencia.

During 2007-2008 I was a visiting student at Holstege Lab, Utrecht (NL), under the supervision of Dr. Patrick Kemmeren. My work was focused on analyzing redundancy relationships between kinases using genetic interactions (E-MAP) data.

Back in Spain, in May 2009 I started my PhD studies in the research group of Dr. Ignacio Marín, at Instituto de Biomedicina de Valencia - CSIC (Spanish National Research Council), obtaining my PhD with the distinction Cum Laude in 2013. The aim of my thesis was to investigate how to improve the characterization of communities in networks.

Currently I am a postdoctoral researcher in the group of Dr. Dmitri Krioukov at Northeastern University. My work is focused on the geometric structure of the fruit fly brain neural network.


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Rodrigo Rodrigo Aldecoa

Publications

Go to my Google Scholar page

Hyperbolic Graph Generator  [arXiv]

Rodrigo Aldecoa, Chiara Orsini and Dmitri Krioukov
Computer Physics Communications  196, 492 (2015)
Source code: [Link]

Detecting communities using asymptotical Surprise   [arXiv]

Vincent A. Traag, Rodrigo Aldecoa and Jean-Charles Delvenne
Physical Review E  92, 022816 (2015)

Network geometry inference using common neighbors   [arXiv]

Fragkiskos Papadopoulos, Rodrigo Aldecoa and Dmitri Krioukov
Physical Review E  92, 022807 (2015)

Exploring the limits of community detection strategies in complex networks

Rodrigo Aldecoa and Ignacio Marín
Scientific Reports  3, 2216 (2013)

Surprise maximization reveals the community structure of complex networks

Rodrigo Aldecoa and Ignacio Marín
Scientific Reports  3, 1060 (2013)

Closed benchmarks for network community structure characterization  [arXiv]

Rodrigo Aldecoa and Ignacio Marín
Physical Review E  85, 026109 (2012)
Generate your own closed benchmarks! [Link]

Deciphering network community structure by Surprise

Rodrigo Aldecoa and Ignacio Marín
PLoS ONE  6, e24195 (2011)
Compute the Surprise of a given partition: [Link]

Functional overlap and regulatory links shape genetic interactions between signaling pathways

Sake van Wageningen, Patrick Kemmeren, Philip Lijnzaad, Thanasis Margaritis, Joris J. Benschop, Inês J. de Castro, Dik van Leenen, Marian J.A. Groot Koerkamp, Cheuk W. Ko, Antony J. Miles, Nathalie Brabers, Mariel O. Brok, Tineke L. Lenstra, Dorothea Fiedler, Like Fokkens, Rodrigo Aldecoa, Eva Apweiler, Virginia Taliadouros, Katrin Sameith, Loes A.L. van de Pasch, Sander R. van Hooff, Linda V. Bakker, Nevan J. Krogan, Berend Snel and Frank C.P. Holstege
Cell  143, 991-1004 (2010)

Jerarca: Efficient Analysis of Complex Networks Using Hierarchical Clustering

Rodrigo Aldecoa and Ignacio Marín
PLoS ONE  5, e11585 (2010)
Check out the Jerarca website [Link]

A sequence motif enriched in regions bound by the Drosophila dosage compensation complex

Miguel Gallach, Vicente Arnau, Rodrigo Aldecoa and Ignacio Marín
BMC Genomics  11, 169 (2010)

Rodrigo Rodrigo Aldecoa

Complex networks made simpler

Cartoon

Reality is composed of complex systems. The Universe, the Solar System, the Earth, our country, our city, our family, even ourselves contain, but also are part of systems. From a macroscopic to a microscopic level, from galaxies down to atoms and beyond...

So, to understand reality, we need to understand how information is coded and used to organize complex systems. Such systems are formed by different elements which also constitute other complex systems. And it is the interaction between these elements what makes the whole more than the sum of its parts.

Complex networks are an excellent way to represent interactions between the elements of a system. My current research is intended to provide a better understanding of the properties and behavior of these networks.

Rodrigo Rodrigo Aldecoa

Contact

Online




http://www.rodrigoaldecoa.com/

Offline

Rodrigo Aldecoa
Department of Physics
Northeastern University
360 Huntington Ave
244 Dana Research Center
Boston, MA 02115