The quality of network clustering is often measured in terms of a commonly used metric known as “modularity”. Modularity compares the clusters found in a network to those present in a random graph (a ...
Modularity assumption is central to most theoretical and empirical approaches in cognitive science. The Bayesian Brain (BB) models are a class of neuro-computational models that aim to ground ...
Modularity is an old concept, being applied by Nasa as early as 1970 in the AMTRAN project. This article claims that modularity is still a relevant and essential part of software architecture design ...
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Deciphering the modular organization of metabolic networks and understanding how modularity evolves have attracted tremendous interest in recent years. Here, we present a comprehensive large scale ...
Modularity has become a central concept in biological sciences, stemming from the notion that biological systems can be conceptualised as intricate networks, which in turn are often divided into sets ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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