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Assortativity

Assortativity, or assortative mixing is a preference for a network's nodes to attach to others that are similar in some way. Though the specific… 
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Related topics

Related topics

16 relations
Assortative mixingBioFabricBiological networkComplex network

Broader (1)

Network theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
A comparative study of network robustness measures
The robustness is an important functionality of networks because it manifests the ability of networks to resist failures or… 
Highly Cited
2016
Highly Cited
2016
Measuring and modeling bipartite graphs with community structure
Network science is a powerful tool for analyzing complex systems in fields ranging from sociology to engineering to biology. This… 
Highly Cited
2012
Highly Cited
2012
Homo Moralis: Preference Evolution under Incomplete Information and Assortative Matching
What preferences will prevail in a society of rational individuals when preference evolution is driven by their success in terms… 
Highly Cited
2011
Highly Cited
2011
Robustness and assortativity for diffusion-like processes in scale-free networks
By analysing the diffusive dynamics of epidemics and of distress in complex networks, we study the effect of the assortativity on… 
Highly Cited
2011
Highly Cited
2011
Learning Scale Free Networks by Reweighted L1 regularization
Methods for ‘1-type regularization have been widely used in Gaussian graphical model selection tasks to encourage sparse… 
Highly Cited
2010
Highly Cited
2010
Weighted complex network analysis of travel routes on the Singapore public transportation system
2010
2010
Line graphs as social networks
Review
2008
Review
2008
A comparative study of social network models: Network evolution models and nodal attribute models
Highly Cited
2008
Highly Cited
2008
Characterizing pseudoperiodic time series through the complex network approach
Highly Cited
2004
Highly Cited
2004
QUANTITATIVE PATTERNS IN THE STRUCTURE OF MODEL AND EMPIRICAL FOOD WEBS
Understanding the structure of food webs, and the mechanisms that give rise to this structure, is one of the most challenging… 
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