Information Theory of Complex Networks: On Evolution and Architectural Constraints
By R. V. Solé, Sergi Valverde. 2004
356 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/40de4fb020c1254909b4f1cf0a03c3279d4bd9da
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Feng Xie
- David M Levinson
- Joseph Troy Lizier
- Matthias Dehmer
- Fabio Boschetti
- Mikhail Prokopenko
- Alex J. Ryan
In Sociology and Political Science
In Statistical and Nonlinear Physics
- Matthias Dehmer
- David M Levinson
- Joseph Troy Lizier
- Fabio Boschetti
- Feng Xie
- Mikhail Prokopenko
- Alex J. Ryan
- Abbe Mowshowitz
Citations in the corpus
- A history of graph entropy measures (2011, background): “Note that many similar information measures for describing disorder and complexity of networks can be found in [14,25,83].”
- Measuring the Structure of Road Networks (2007, background): “Sole and Valverde (2004) introduced information theory to measure the heterogeneity of complex networks by categorizing nodes according to their degrees.”
- An information-theoretic primer on complexity, self-organization, and emergence (2009, methodology): “Following Sol´e and Valverde [61], we use these probability distributions in defining • the Shannon entropy of the network, that measures the diversity of the degree distribution or the network’s heterogeneity: • the joint entropy measuring of the average uncertainty of the network as a whole (23) e…”
- JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems (2014, background): “, 2005, 2011), and measures of network structure (Solé and Valverde, 2004; Piraveenan et al., 2009).”
- Networks of the Brain: Quantitative Analysis and Modeling (2010, neutral): “5, different dasses of network architecture can be qualitatively arranged within a space of possible networks (Sole and Valverde, 2004) , with each class occupying a distinct location.”