Suppose you’re just starting out on Tumblr. How to build your audience in the most efficient way? Obviously, you would want to reach the people who belong to the communities that would be more likely to repost the kind of content. It’s even better if you can also find the main hubs. Using a bit of network data mining and Gephi visualization tool all this can be done in a few minutes and we’ll show you how.
A very interesting paper by Kitano “Biological Robustness” (published in 2004 in Nature Genetics journal) offers a very insightful summary on what biological robustness is and how it emerges in networks. Kitano demonstrates how small-world architecture and the existence of an interconnected core control center both increase the robustness of a system.
A newly published research in the Vol 16, Issue 4 of Trends in Cognitive Sciences Journal titled “An oscillatory mechanism for prioritizing salient unattended stimuli” proposes an interesting mechanism of prioritizing important impulses employed in the human brain. It does not only offer a fresh point of view on how important synchronized brain-wave activity is for performing complex cognitive tasks, but also can show us the possible organizational structures that could be used to better detect a change in environment and provide fast responses to it.
A very interesting paper by Fontanini & Katz (2008) published in Neurophysiology journal proposes a model that shows how similar sensory stimuli can elicit different responses in the same organism.
Information Theory of Complex Networks: on evolution and architectural constraints paper by Sole and Valverde (2004) features a very interesting chart that shows how different types of networks relate to each other in terms of their randomness, heterogeneity, and modularity.