Posts Tagged ‘networks’

Phys. Rev. E 92, 032810 (2015) – Thermodynamic characterization of networks using graph polynomials

March 31, 2017

Thermodynamic characterization of #networks using graph polynomials https://journals.APS.org/pre/abstract/10.1103/PhysRevE.92.032810 Application to the stockmarket & biological data

How can Facebook and its users burst the ‘filter bubble’? | New Scientist

December 11, 2016

How can Facebook…burst the filter bubble? https://www.NewScientist.com/article/2113246-how-can-facebook-and-its-users-burst-the-filter-bubble/ How reporting via social networks leads to bias & how to "flip the feed"

Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease: Cell

October 1, 2016

Zhang, Bin, Chris Gaiteri, Liviu-Gabriel Bodea, Zhi Wang, Joshua McElwee, Alexei A. Podtelezhnikov, Chunsheng Zhang et al. "Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer’s disease." Cell 153, no. 3 (2013): 707-720.

Integrated systems approach identifies genetic…#networks in…Alzheimer’s http://www.Cell.com/cell/abstract/S0092-8674(13)00387-5 Determining causality from co-expression

PLOS Computational Biology: The Evolutionary Origins of Hierarchy

June 29, 2016

Evolutionary Origins of Hierarchy
http://journals.plos.org/ploscompbiol/article?id=10.1371%2Fjournal.pcbi.1004829 Simulations explain how connection cost drives formation in sparse #networks

Turns Out All Your Friends Have More Friends Than You

June 9, 2016

All Your Friends Have More Friends Than You
http://nymag.com/scienceofus/2016/05/turns-out-all-your-friends-have-more-friends-than-you.html Twist on social #networks having a #powerlaw degree distribution
QT:{{”
The paradox arises because numbers of friends people have are distributed in a way that follows a power law rather than an ordinary linear relationship. So most people have a few friends while a small number of people have lots of friends.
“}}

DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data | BMC Systems Biology | Full Text

April 8, 2016

DREM…reconstruction of…regulatory #networks from time-series expression http://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-6-104 Classic approach using 3-level IO #HMMs

Networks, Crowds, and Markets: A Book by David Easley and Jon Kleinberg

February 7, 2016

https://www.cs.cornell.edu/home/kleinber/networks-book/

Understanding multicellular function and disease with human tissue-specific networks : Nature Genetics : Nature Publishing Group

November 28, 2015

Human tissue-specific #networks by @TroyanskayaLab
http://www.nature.com/ng/journal/v47/n6/full/ng.3259.html
Brain-specific ones & NetWAS approach for combining #GWAS genes

access all tissue networks including the brain-specific
networks at giant.princeton.edu

LinkedIn’s Plan for World Domination

October 19, 2015

LinkedIn’s Plan for World Domination http://www.newyorker.com/magazine/2015/10/12/the-network-man No job security, everyone’s an entrepreneur, enlarging prof’l #networks is key

QT:{{"
“Manyika understood that not every chief executive in Silicon Valley could sign the statement, but he was gently trying to pull Hoffman to the left, and he knew how to frame the argument so that it would appeal to him. He went on, “We cannot ignore this problem. Right now, everybody’s punting. We know the share of income that goes to wages is a declining portion, compared with capital expenditures. What does that mean for jobs? Entrepreneurship is part of the answer. Mass-scale entrepreneurship. Before you even get to A.I.”

“You have to be able to let people adapt,” Hoffman said. “You have to have cheap resources to put across the whole system. How do you get inclusion within the tech ecosystem?”

“Very few of the programs have scale,” Manyika said.

“You have to scale to infinite,” Hoffman said.
"}}

Modern Lessons from Ancient Food Webs » American Scientist

August 22, 2015

Modern Lessons from [reconstructing] Ancient Food Webs http://www.americanscientist.org/issues/feature/2015/3/modern-lessons-from-ancient-food-webs/1 Overall #network structure (eg degree dist.) fairly invariant