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Scoop.it!
Stephen Wolfram shares interesting Facebook data analysis finds from the Data Donor program of Wolfram|Alpha Personal Analytics for Facebook. 
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Scoop.it!
James Glattfelder studies complexity: how an interconnected system -- say, a swarm of birds -- is more than the sum of its parts. And complexity theory, it turns out, can reveal a lot about how the economy works. Glattfelder shares a groundbreaking study of how control flows through the global economy, and how concentration of power in the hands of a shockingly small number leaves us all vulnerable. (Filmed at TEDxZurich.)
Christophe CESETTI's curator insight,
February 17, 2013 3:52 PM
more here about who control the world http://pear.ly/59Zn 
Raphael Souchier's curator insight,
February 18, 2013 7:38 AM
0,024% of TransNational Corporations (146 of them) control 40% of all TNC's value. "Too connected to fail"? The science of Complexity may help us understand how this emerging system works and where this leads us.
Scoop.it!
In an analysis of the data of 300.000 players of an online game society, Michael Szell and Stefan Thurner found that women have more communication partners. They also reciprocate friendships, organize in clusters, take fewer risks than men and show a preference for stability in their networks. On the contrary, men try to talk most often with those who talk with many, reciprocate friendships with other males much less frequently, and respond quite quickly to female friendship initiatives. They also tend to have less cooperative links with other males, which indicates a more competitive approach.
Scoop.it!
Sometimes a little over-sharing online can be a good thing, at least if it’s about your health.
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In the world of Facebook, users are either kings or lemmings. That's the conclusion of a new study, the largest to analyze how information spreads across social networks—and who does the spreading. More on SOCIAL NETWORKS: http://www.scoop.it/t/science-news?tag=social%20networks
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In this new RSA Animate, Manuel Lima, senior UX design lead at Microsoft Bing, explores the power of network visualisation to help navigate our complex modern world. Taken from a lecture given by Manuel Lima as part of the RSA's free public events programme.
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Artist Jonathan Harris describes four trends that are reshaping culture in the digital age: Compression, Disposability, Curation, and Self-Promotion, and takes steps to counteract them.
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From
phys
Nicholas Christakis, whose research has shown how everything from obesity to smoking to happiness spreads through social networks, said Monday that the human ability to form lasting relationships results from a trade-off between greater access to information provided by our networks and the increased exposure to disease that networks bring. Articles about SOCIAL NETWORKS: http://www.scoop.it/t/science-news?tag=social%20networks
Scoop.it!
From
phys
What can social networks on the internet know about persons who are friends of members, but have no user profile of their own? Articles about SOCIAL NETWORKS: http://www.scoop.it/t/science-news?tag=social%20networks
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The author urges people to consider the possibility that by observing the actions of others, their brain responds as if they were performing the actions themselves. Articles about NEUROSCIENCE: http://www.scoop.it/t/science-news?page=1&tag=neuroscience
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In “Situations Matter: Understanding How Context Transforms Your World,” Sam Sommers shows how our environments are much more important than we think.
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Society runs on trust and would collapse without it. The interconnectedness of the modern world creates new and dangerous risks to trust.
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Political scientist James Fowler makes the connection between smiling profile pictures on Facebook and human evolution.
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Hypoglycemia may be a much larger problem among patients with diabetes than is currently realized, according to a study of members of a diabetes-focused social network conducted by researchers in Boston Children's Hospital's Informatics Program.
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If You're So Free, Why Do You Follow Others? The Sociological Science Behind Social Networks and Social Influence.
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Our brains are not as large as they are in order to provide each of us with the raw computational power to think our way out of a sticky situation, instead our brain size helps each of us to deal with the large and complex network of relationships we rely on to thrive.
Scoop.it!
From
phys
Scientists at ETH Zurich have studied the use of language, finding that words with a positive emotional content are more frequently used in written communication. This result supports the theory that social relations are enhanced by a positive bias in human communication.
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The Brazilian fashion retailer C&A has created networked clothes hooks that display the total number of Facebook “Likes” for each garment in real time. Articles about CROWDSOURCING: http://www.scoop.it/t/science-news?tag=crowdsourcing
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From
bigthink
Does the conception of social relations promoted by social networking sites blind us to the reality of social class and conflict between classes? Articles about FACEBOOK: http://www.scoop.it/t/science-news?tag=facebook
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From
bigthink
Anyone who doubts that the Internet has the potential to bring people together should take a closer look at Neighborgoods, a service that helps users share goods with people living nearby. “NeighborGoods helps members live less wasteful and more connected lives."
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Networks governing processes in nature and society are becoming increasingly amenable to modeling, forecast and control.
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Researchers from Tel Aviv University, in collaboration with the Kiel Institute of World Economy in Germany, have developed a market "seismograph" — a new methodology that measures the interconnections between stock markets across the globe. It has the potential to serve as an early warning system and provide measures to manage and mitigate the spread of financial crisis.
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Human interactions follow the network pattern of life itself...
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An area of the brain associated with understanding the minds of others is larger in people who have bigger social networks, a new study finds.
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We’re starting to be able to train a serious “computational telescope” on the “social universe”. And it’s letting us discover all sorts of phenomena. That have the potential to help us understand much more about society and about ourselves. And that, by the way, provide great examples of what can be achieved with data science, and with the technology I’ve been working on developing for so long.