🔵 Are you a student eager to work on Complex Networks and Systems? Apply to our PhD program at Indiana University!
http://cnets.indiana.edu/phd/
http://cnets.indiana.edu/phd/
Forwarded from انجمن علمی فیزیک بهشتی (SBU)
سمینار عمومی هفتگی، سه شنبه 11آبان، تالار ابن هیثم، دانشکده فیزیک، کانال انجمن علمی دانشجویی فیزیک را به دوستان خود معرفی کنید @sbu_physics
📝 Community detection in networks: A user guide
Santo FortunatoDarko
http://www.sciencedirect.com/science/article/pii/S0370157316302964
📌 Abstract
Community detection in networks is one of the most popular topics of modern network science. Communities, or clusters, are usually groups of vertices having higher probability of being connected to each other than to members of other groups, though other patterns are possible. Identifying communities is an ill-defined problem. There are no universal protocols on the fundamental ingredients, like the definition of community itself, nor on other crucial issues, like the validation of algorithms and the comparison of their performances. This has generated a number of confusions and misconceptions, which undermine the progress in the field. We offer a guided tour through the main aspects of the problem. We also point out strengths and weaknesses of popular methods, and give directions to their use.
Keywords
#Networks #Communities #Clustering
Santo FortunatoDarko
http://www.sciencedirect.com/science/article/pii/S0370157316302964
📌 Abstract
Community detection in networks is one of the most popular topics of modern network science. Communities, or clusters, are usually groups of vertices having higher probability of being connected to each other than to members of other groups, though other patterns are possible. Identifying communities is an ill-defined problem. There are no universal protocols on the fundamental ingredients, like the definition of community itself, nor on other crucial issues, like the validation of algorithms and the comparison of their performances. This has generated a number of confusions and misconceptions, which undermine the progress in the field. We offer a guided tour through the main aspects of the problem. We also point out strengths and weaknesses of popular methods, and give directions to their use.
Keywords
#Networks #Communities #Clustering
📝 Cellular Automata and Complexity: Collected Papers
https://www.complexityexplorer.org/explore/resources/461-cellular-automata-and-complexity-collected-papers
📌 Book Description:
"Are mathematical equations the best way to model nature? For many years it had been assumed that they were. But in the early 1980s, Stephen Wolfram made the radical proposal that one should instead build models that are based directly on simple computer programs. Wolfram made a detailed study of a class of such models known as cellular automata, and discovered a remarkable fact: that even when the underlying rules are very simple, the behavior they produce can be highly complex, and can mimic many features of what we see in nature. And based on this result, Wolfram began a program to develop what has become A New Kind of Science." "The results of Wolfram's work found many applications, from the so-called Wolfram Classification central to fields such as artificial life, to new ideas about cryptography and fluid dynamics. This book is a collection of Wolfram's original papers on cellular automata and complexity. Some of these papers are widely known in the scientific community; others have never been published before. Together, the papers provide a highly readable account of what has become a major new field of science, with important implications for physics, biology, economics, computer science and many other areas."
https://www.complexityexplorer.org/explore/resources/461-cellular-automata-and-complexity-collected-papers
📌 Book Description:
"Are mathematical equations the best way to model nature? For many years it had been assumed that they were. But in the early 1980s, Stephen Wolfram made the radical proposal that one should instead build models that are based directly on simple computer programs. Wolfram made a detailed study of a class of such models known as cellular automata, and discovered a remarkable fact: that even when the underlying rules are very simple, the behavior they produce can be highly complex, and can mimic many features of what we see in nature. And based on this result, Wolfram began a program to develop what has become A New Kind of Science." "The results of Wolfram's work found many applications, from the so-called Wolfram Classification central to fields such as artificial life, to new ideas about cryptography and fluid dynamics. This book is a collection of Wolfram's original papers on cellular automata and complexity. Some of these papers are widely known in the scientific community; others have never been published before. Together, the papers provide a highly readable account of what has become a major new field of science, with important implications for physics, biology, economics, computer science and many other areas."
🔵 From Navigation on the High Seas to Magnets at High Temperatures
How Conformal Maps Enter Our Lives
https://sinews.siam.org/DetailsPage/TabId/900/ArtMID/2243/ArticleID/1738/From-Navigation-on-the-High-Seas-to-Magnets-at-High-Temperatures.aspx
#CFT
How Conformal Maps Enter Our Lives
https://sinews.siam.org/DetailsPage/TabId/900/ArtMID/2243/ArticleID/1738/From-Navigation-on-the-High-Seas-to-Magnets-at-High-Temperatures.aspx
#CFT
SIAM News
From Navigation on the High Seas to Magnets at High Temperatures
Just imagine that you have attended the SIAM Conference on Industrial and Applied Geometry (GD29) in San Francisco and you are aboard a plane that is taking you back home to your research institute in Berlin. You see on the monitor in front of you that the…
📝 The physics of multilayer networks
Manlio De Domenico, Clara Granell, Mason A. Porter, Alex Arenas
https://arxiv.org/pdf/1604.02021v1
📌 ABSTRACT
The study of networks plays a crucial role in investigating the structure, dynamics, and function of a wide variety of complex systems in myriad disciplines. Despite the success of traditional network analysis, standard networks provide a limited representation of these systems, which often includes different types of relationships (i.e., "multiplexity") among their constituent components and/or multiple interacting subsystems. Such structural complexity has a significant effect on both dynamics and function. Throwing away or aggregating available structural information can generate misleading results and provide a major obstacle towards attempts to understand the system under analysis. The recent "multilayer' approach for modeling networked systems explicitly allows the incorporation of multiplexity and other features of realistic networked systems. On one hand, it allows one to couple different structural relationships by encoding them in a convenient mathematical object. On the other hand, it also allows one to couple different dynamical processes on top of such interconnected structures. The resulting framework plays a crucial role in helping to achieve a thorough, accurate understanding of complex systems. The study of multilayer networks has also revealed new physical phenomena that remained hidden when using the traditional network representation of graphs. Here we survey progress towards a deeper understanding of dynamical processes on multilayer networks, and we highlight some of the physical phenomena that emerge from multilayer structure and dynamics.
Manlio De Domenico, Clara Granell, Mason A. Porter, Alex Arenas
https://arxiv.org/pdf/1604.02021v1
📌 ABSTRACT
The study of networks plays a crucial role in investigating the structure, dynamics, and function of a wide variety of complex systems in myriad disciplines. Despite the success of traditional network analysis, standard networks provide a limited representation of these systems, which often includes different types of relationships (i.e., "multiplexity") among their constituent components and/or multiple interacting subsystems. Such structural complexity has a significant effect on both dynamics and function. Throwing away or aggregating available structural information can generate misleading results and provide a major obstacle towards attempts to understand the system under analysis. The recent "multilayer' approach for modeling networked systems explicitly allows the incorporation of multiplexity and other features of realistic networked systems. On one hand, it allows one to couple different structural relationships by encoding them in a convenient mathematical object. On the other hand, it also allows one to couple different dynamical processes on top of such interconnected structures. The resulting framework plays a crucial role in helping to achieve a thorough, accurate understanding of complex systems. The study of multilayer networks has also revealed new physical phenomena that remained hidden when using the traditional network representation of graphs. Here we survey progress towards a deeper understanding of dynamical processes on multilayer networks, and we highlight some of the physical phenomena that emerge from multilayer structure and dynamics.
🔴 The Paper Shredder
Great, curated collection of recent papers about complex systems and networks
http://www.uvm.edu/~cmplxsys/teaching-learning/papershredder/
Great, curated collection of recent papers about complex systems and networks
http://www.uvm.edu/~cmplxsys/teaching-learning/papershredder/
Vermont Complex Systems Center
The Paper Shredder
Every two weeks, and in the grand tradition of courageous academics everywhere, we review the painstaking, meticulous work of others not present to defend themselves. Pure of motivation, we endeavo…
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A New Spin on the Quantum Brain
A new theory explains how fragile quantum states may be able to exist for hours or even days in our warm, wet brain. Experiments should soon test the idea.
A new theory explains how fragile quantum states may be able to exist for hours or even days in our warm, wet brain. Experiments should soon test the idea.
Complex Systems Studies
A New Spin on the Quantum Brain A new theory explains how fragile quantum states may be able to exist for hours or even days in our warm, wet brain. Experiments should soon test the idea.
🎯 https://www.quantamagazine.org/20161102-quantum-neuroscience/
#Neuroscience #Quantum_Mechanics #Biology #Chemistry #Nuclear_Physics
#Neuroscience #Quantum_Mechanics #Biology #Chemistry #Nuclear_Physics
Quanta Magazine
A New Spin on the Quantum Brain
A new theory explains how fragile quantum states may be able to exist for hours or even days in our warm, wet brain. Experiments should soon test the idea.
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@onmjnl
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@onmjnl
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