network vision

This is an idea which has been growing in my head, and which I will nourish so it continues to grow.

Networks of networks. I see the small networks "crawling" around on the larger network, needing to match nodes or links, or creating links, or potential links.

All nodes in a snet are they similar? How specialized? How varied within a specialty (think: ants, or adventurous bees).

Nework spawns new networks. This is the definition of success; or rather the success of the progeny is the measure of success. How recursive is that?

Epidemic spread in adaptive networks with multitype agents

by Wang2011
J. Phys. A: Math. Theor. 44 (2011) 035101 (9pp)

Adds rewiring probability to SIR formulation. rewiring allows a susceptible person to break off contact with an infected, thus reducing the transmission probability from I to S.

Rewiring slows disease transmission.

I don't understand if they have an actual network or only a mean-field approximation. I suspect it is only MF. But they claim that rewiring can create susceptible clusters with large variance in degree distribution, to explain the bistability of their results.

This is one possible journal for the zombie paper (except impact factor is 1.64)

Dynamic network of disease phenotype-- Hidalgo 2009

Another pub from one of the kings of networks.

Has a huge clinical database. Makes a network of most stated diseases in database, where a link indicates that the two diseases occur in the same patient at a higher than chance frequency.

He uses two measures of association which have opposite biases.
Relative Risk (RR)-- overestimates relationships involving rare diseases while discounting common ones
Phi-correlation (phi) accurate for diseases with the same frequency, discounts comorbidity between rare and common disease

The network's predicitive power is on the same order as family studies and/or some genetic studies.

Some discussion on inferring directionality

Cesar Hildago

does interesting work with networks

Homepage

Including economic networks (how different products are connected)

Genetic Landscape of a Cell

Article by Costanzo et al, in Science (vol 327, Jan 2010).

New word Pleiotropy - when a single gene influences multiple phenotypic traits.

Like so many other biological networks, the degree distribution follows a power law. Network hubs have a high degree of pleiotropy, with the number of genetic interactions for a hubsignificantly correlated with the number of distinct annotated functions. Does this work in reverse? This suggests that genetic network hubs play key roles in the integration and execution of morphogenetic programs.

In addition, hubs tend to be expressed at higher mRNA levels, genetic interaction degree corresponds positively with gene conseravation and negatively with copy number volatility.

Layout was done using Cytoscape, with an edge-weighted spring embedded algorithm

Fun stuff!

Network structure

1) Nature re-uses ideas.
2) social networks reflect structure of society-- the human hive mind.
3) ants/bees also have well studied hive minds.
4) what network homologies exist between 2 and 3? Other systems (schooling fish, herd animals, flocks)?

Idea inspired by a comment from Nadya.