Difference between revisions of "Network Pattern"

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* [http://www.penguinrandomhouse.com/books/549846/the-square-and-the-tower-by-niall-ferguson/ The Square and the Tower | Niall Ferguson]
 
* [http://www.penguinrandomhouse.com/books/549846/the-square-and-the-tower-by-niall-ferguson/ The Square and the Tower | Niall Ferguson]
 
* [http://oracleofbacon.org/ The Oracle of Bacon] computes the Bacon number of any actor or actress from Wikipedia data. A previous implementation used IMDB data.  ...[http://en.wikipedia.org/wiki/Six_Degrees_of_Kevin_Bacon Six Degrees of Kevin Bacon | Wikipedia]
 
* [http://oracleofbacon.org/ The Oracle of Bacon] computes the Bacon number of any actor or actress from Wikipedia data. A previous implementation used IMDB data.  ...[http://en.wikipedia.org/wiki/Six_Degrees_of_Kevin_Bacon Six Degrees of Kevin Bacon | Wikipedia]
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Network pattern is a recurring structural arrangement or established topology of connections between nodes that dictates how they interact, communicate, or distribute resources within a system.
  
 
Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges). The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology. The United States National Research Council defines network science as "the study of network representations of physical, biological, and social phenomena leading to [[Predictive Analytics|predictive models]] of these phenomena." [http://en.wikipedia.org/wiki/Network_science#:~:text=Network%20science%20is%20an%20academic,connections%20between%20the%20elements%20or Network science | Wikipedia]
 
Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges). The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology. The United States National Research Council defines network science as "the study of network representations of physical, biological, and social phenomena leading to [[Predictive Analytics|predictive models]] of these phenomena." [http://en.wikipedia.org/wiki/Network_science#:~:text=Network%20science%20is%20an%20academic,connections%20between%20the%20elements%20or Network science | Wikipedia]

Revision as of 07:53, 7 January 2026

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Network pattern is a recurring structural arrangement or established topology of connections between nodes that dictates how they interact, communicate, or distribute resources within a system.

Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges). The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology. The United States National Research Council defines network science as "the study of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena." Network science | Wikipedia

Authors in Conversation: Niall Ferguson and Albert-László Barabási
Harvard Club of Boston's Author Series hosted a special evening conversation with renowned historian Niall Ferguson and the nation's foremost network science expert Albert-László Barabási. In his most recent book, The Square and the Tower, Ferguson applies lessons from Barabási's pioneering work in network science to the domain of historical analysis, drawing insights from a wide range of fascinating examples across past decades and centuries, with important implications for current affairs. As Barabási has demonstrated both in his academic work and in his popular writing (Linked), network science research has led to meaningful discoveries in areas ranging from biology and medicine, to institutional analysis and social networks.

Network Earth
The world is a complicated place. Our planet is made up of millions of networks from microscopic ecosystems to global migration. How can we ever hope to understand and predict the complexity of our mulit-networked world? New research may have the answer… Read the research paper: Universal resilience patterns in complex networks | J. gao, B. Barzel and A. Barabasi This 4k data visualisation was created by Mauro Martino, and Jianxi Gao (Northeastern University). 17th February 2016

BURSTS: The Hidden Pattern Behind Everything We Do | Albert-László Barabási | Talks at Google
The Authors@Google program welcomed Albert László Barabási to Google's New York office to discuss his book, "Bursts: The Hidden Patterns Behind Everything We Do, from Your E-mail to Bloody Crusades" "In BURSTS (April 2010), Barabási, Director of the Center for Network Science at Northeastern University, shatters one of the most fundamental assumptions in modern science and technology regarding human behavior. Barabási argues that, rather than being random, humans actually act in predictable patterns. We go along for long periods of quiet routine followed suddenly by loud bursts of activity. Barabasi demonstrates that these breaks in routine, or "bursts," are present in all aspects of our existence— in the way we write emails, spend our money, manage our health, form ideas. Barabási has even found "burstiness" in our webpage clicking activity and the online news cycle."

The Pattern in Nature's Networks
cience shows it's a small world after all—and nature's networks follow a similar pattern. NOVA Facebook: https://www.facebook.com/NOVAonline NOVA Twitter: https://www.twitter.com/novapbs Follow Mark Zastrow on Twitter: @MarkZastrow PRODUCTION CREDITS Writer, Producer, and Narrator Mark Zastrow Music by Mark Zastrow Editorial Help from Anna Rothschild Original Footage © WGBH Educational Foundation 2014 MEDIA CREDITS Mississippi River watershed National Park Service Diffusion tensor images Human Connectome Project, NIH, Massachusetts General Hospital, Meredith Reid (University of Alabama--Birmingham) Neurons, In Vitro Color! Flickr /thelunch_box (CC BY-NC 2.0) Small world neural network based on figure from van den Heuvel and Sporns (2011) / The Journal of Neuroscience 31(44):15775--15786 Autism spectrum disorder networks Barttfeld et al. (2011) / Neuropsychologia 49 (2011) 254--263 The Formation of Stars and Brown Dwarfs and the Truncation of Protoplanetary Discs in a Star Cluster Matthew R. Bate, Ian A. Bonnell, and Volker Bromm, UK Astrophysical Fluids Facility Floral Art Flickr / Louise Docker (CC BY 2.0) Dark matter filaments Ralf Kaehler, Oliver Hahn and Tom Abel, Kavli Institute for Particle Astrophysics and Cosmology (Stanford) Millennium Simulation flythroughs Springel et al. (2005) © WGBH Educational Foundation 2014

The Science of Six Degrees of Separation
Are all people on Earth really connected through just six steps? There's much more science in this than I initially expected. It turns out ordered networks with a small degree of randomness become small-work networks. This is why your acquaintances turn out to be more important in job searches and finding new opportunities than close friends. Animations in this video by The Lyosacks: http://www.youtube.com/user/TheLyosacks There are some great books on this topic: Duncan Watts, Six Degrees: The Science of a Connected Age Albert-László Barabási, Linked: How Everything is Connected to Everything Else And here are articles I referred to: Milgram's small world experiment and Strength of Weak Ties | Mark S. Granovetter

Niall Ferguson on History’s Hidden Networks
Have historians misunderstood everything? Have they missed the single greatest idea that best explains the past? Niall Ferguson is the preeminent historian of the ideas that define our time. He has challenged how we think about money, power, civilisation and empires. Now he wants to reimagine history itself. In October 2017, Ferguson came to the Intelligence Squared stage to unveil his new book, 'The Square and The Tower'. Historians have always focused on hierarchies, he argues – on the elites that wield power. Economists have concentrated on the marketplace – on the economic forces that shape change. These twin structures are symbolised for Ferguson by Siena’s market square, and its civic tower looming above. But beneath both square and tower runs something more deeply significant: the hidden networks of relationships, ideas and influence. Networks are the key to history. The greatest innovators have been ‘superhubs’ of connections. The most powerful states, empires and companies have been those with the most densely networked structures. And the most transformative ideas – from the printing presses that launched the Reformation to the Freemasonry that inspired the American Revolution – have gone viral precisely because of the networks within which they spread. ‘When we understand these core insights of network science,’ says Ferg

Albert-László Barabási

Albert-László Barabási is a Hungarian/Romanian network scientist and author. He is also the Robert Gray Dodge Professor of Network Science and a Distinguished University Professor at Northeastern University, where he directs the Center for Complex Network Research, and holds appointments in the Departments of Physics and College of Computer and Information Science, as well as in the Department of Medicine at Harvard Medical School and Brigham and Women Hospital in the Channing Division of Network Science, and is a member of the Center for Cancer Systems Biology at Dana Farber Cancer Institute.


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