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Free Courses MIT, Copyrights. Gephi. Table of contents : Nature. Controllability of Complex Networks. The ultimate proof of our understanding of natural or technological systems is reflected in our ability to control them. While control theory offers mathematical tools to steer engineered and natural systems towards a desired state, we lack a general framework to control complex self-organized systems, like the regulatory network of a cell or the Internet.

Here we develop analytical tools to study the controllability of an arbitrary complex directed net- work, identifying the set of driver nodes whose time-dependent control can guide the system's dynamics. We apply these tools to several real networks, finding that the number of driver nodes is determined mainly by the network's degree distribution. We show that sparse in- homogeneous networks, which emerge in many real complex systems, are the most difficult to control, but dense and homogeneous networks can be controlled via a few driver nodes. Movie: Cactus Structure, "skeleton" for controlMauro Martino Images: Network Science Course - 2011. 1/10 Introduction to Network Science We are surrounded by systems that are hopelessly complex, from the society, a collection of seven billion individuals, to communications systems, integrating billions of devices, from computers to cell phones.

Our very existence is rooted in the ability of thousands of genes to work together in a seamless fashion; our thoughts, reasoning, and our ability to comprehend the world surrounding us is hidden in the coherent activity of billions of neurons in our brain. 1/19 Bio – Networks Internet Biological networks are an essence of life. 1/24 Random Graph Theory Networks and graphs: In its simplest form, a network is a set of nodes connected by links. 1/26 Movie Night View The documentary trailer... 1/31 Random Networks (Project discussion) The first basic question we need to answer is the following: if you are given a network, how do you think of it?

2/2 The Small World Its a small world after all. 2/7 Scale Free Networks 2/9 Generating Functions 2/14 Prof. InFlow Social Network Analysis Software for Business, Communities and Government. Software for Social Network Analysis & Organizational Network Analysis If a picture is worth a thousand words, what is an interactive model of your organization, community, or industry worth? InFlow 3.1 performs network analysis AND network visualization in one integrated product -- no passing files back and forth between different programs like other tools. What is mapped in one window is measured in the other window -- what you see, is what you measure. InFlow excels at what-if analysis -- change the network, get new metrics -- just 2 clicks of the mouse. InFlow is designed to work with Microsoft Office and the WWW.

InFlow is the only popular SNA/ONA software that has available training and personal mentoring through your first project(s). Contact us for more information on purchasing InFlow and training on how to do social & organizational network analysis. InFlow provides easy access to the most popular network metrics.

"Wow, this is so easy! " Diseasome: explore the human disease network. Dataset, interactive map and printable poster of gene-disease relationships. Mapping the Human ‘Diseasome’ - Interactive Graphic. Connected: The Power of Six Degrees. A very rich documentary about the new science of network. It is built around reproducing the “Six degrees of separation” experience. The main concepts are well explained and the history of discoveries is emphasized with many examples and interviews of the researchers.

I personally think the documentary is well realized and may be understood by any public. The first part is about small worlds model and explaining why six degrees works. Warning: the video is no longer available, due to right owner’s decision to remove it from vimeo. EDIT: Video available here To go further : Found here. Related Posts: No related posts. Networks ~ how kevin bacon cured cancer Networks six degrees Trackback. Small-world network. Small-world network exampleHubs are bigger than other nodes Average vertex degree = 1,917 Average shortest path length = 1.803. Clusterization coefficient = 0.522 Random graph Average vertex degree = 1,417 Average shortest path length = 2.109.

Clusterization coefficient = 0.167 In the context of a social network, this results in the small world phenomenon of strangers being linked by a mutual acquaintance. Many empirical graphs are well-modeled by small-world networks. Social networks, the connectivity of the Internet, wikis such as Wikipedia, and gene networks all exhibit small-world network characteristics. Properties of small-world networks[edit] This property is often analyzed by considering the fraction of nodes in the network that have a particular number of connections going into them (the degree distribution of the network). ) is defined as R. Examples of small-world networks[edit] Examples of non-small-world networks[edit] Network robustness[edit] Applications to sociology[edit]

Network Workbench | Welcome. Truthy. Griff's Graphs. Beyond belief - Google Search. BEYOND BELIEF DVDs are now available! Purchase them here. Just 40 years after a famous TIME magazine cover asked "Is God Dead? " the answer appears to be a resounding "No! " According to a survey by the Pew Forum on Religion & Public Life in a recent issue of Foreign Policy magazine, "God is Winning". Religions are increasingly a geopolitical force to be reckoned with.

Fundamentalist movements - some violent in the extreme - are growing. Science and religion are at odds in the classrooms and courtrooms. This is a critical moment in the human situation, and The Science Network in association with the Crick-Jacobs Center brought together an extraordinary group of scientists and philosophers to explore answers to these questions. Scott Atran Francisco Ayala Patricia Churchland Paul Churchland Paul Davies Richard Dawkins Ann Druyan Charles Harper Sam Harris Melvin J.

Lawrence Krauss Elizabeth Loftus Steven Nadler Susan Neiman V.S. Joan Roughgarden Loyal Rue Terrence Sejnowski Michael Shermer Richard Sloan.