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A.L. Barabási, el “hub” de las Redes Complejas

A.L. Barabási, el “hub” de las Redes Complejas | Complex Networks Everywhere | Scoop.it
Las Redes Complejas sin complejos - Divulgación y aplicaciones de las redes complejas
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El congreso Dynamics Days Europe 2013 tendrá lugar en Madrid

El congreso Dynamics Days Europe 2013 tendrá lugar en Madrid | Complex Networks Everywhere | Scoop.it
Las Redes Complejas sin complejos - Divulgación y aplicaciones de las redes complejas
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Planning and Managing Distance Education Systems: Complex Systems | Distance-Educator.com

Planning and Managing Distance Education Systems: Complex Systems | Distance-Educator.com | Complex Networks Everywhere | Scoop.it
Tips for planning and managing distance education systems http://t.co/2K61KhMZls http://t.co/bggxK5mMP3
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Computational Social Science: Big Data July 20 - July 27, 2013, Lipari Island, Italy | Lipari School on Computational Social Science

Computational Social Science: Big Data July 20 - July 27, 2013, Lipari Island, Italy | Lipari School on Computational Social Science | Complex Networks Everywhere | Scoop.it
A. J. Alvarez-Socorro's insight:

The Social Sciences are undergoing deep changes in terms of research style, data availability, underlying knowledge, and methods. Today, the availability of social ''big data'' cannot be overlooked by social scientists. Big data utilization and management will be an integral part of the future of Computational Social Science. The 2013 edition of the Lipari Summer School on Computational Social Science will bring together world-class experts in the fields of quantitative social science and big data analysis to provide a lecture and workshop series to an interdisciplinary international audience. The goal of the 2013 edition is to expose social science researchers to tools and methods for analyzing big datasets of socially relevant information.

List of speakersJianbo Gao
Massive media event data analysis to assess world-wide political conflict and instability [abstract]
University of Florida, USA

Kalev H. Leetaru
Using “Big Data” To Understand the World Around Us: Towards Realtime Modeling, Monitoring, and Forecasting Global Society [abstract]
University of Illinois, USA

Andrew Tomkins
Algorithms and approaches to understanding large-scale social data [abstract]
Google Research, USA

TutorialsDavide Bennato
Using social media data for social science research [abstract]
University of Catania - Department of Humanistic Science, ItalyDamiano Carra, University of Verona, Italy
Rosalba Giugno, University of Catania, Italy
Calogero Zarba, Neodata Group, Italy
Non relational data management for big data management [abstract] Alfredo Pulvirenti
Tools and techniques for data mining [abstract]
University of Catania - Department of Clinical and Molecular Biomedicine, ItalyInformation

Participants will be arranged in a comfortable hotel at very special rates. The conference room is air-conditioned and equipped with all conference materials. Special areas are reserved to students for the afternoon coursework and study. The island of Lipari can be easily reached from Milazzo, Palermo, Naples, Messina and Reggio Calabria by ferry or hydrofoil (50 minutes from Milazzo).

Two kinds of participants are welcome. Students: Participants who are expected to do afternoon courseworks and take a final exam (The grades will be given following the ECTS grading scale). The course will involve a total of 24 hours of teaching. According to our university rules passing the final exam gives right to an equivalent of 6 ECTS credits in any Ph.D. program. Auditors: participants who are not interested in taking the final exam.
Registration fee is 470 Euros. The fee covers the course material, bus+hydrofoil Catania airport-Lipari-Catania airport, social event. Late registration is 570 Euros.

Deadline for application is April 30, 2013 (admission notification will start on April 1st according to registration time). Applicants must include a short curriculum vitae and specify two professors whom letters of recommendation will be asked to, if deemed necessary. Applicants will be notified about admission by May 8, 2013.

The official language is English.

School director

Prof. Claudio Cioffi-Revilla, George Mason University, USA

Scientific Committee

Prof. Alfredo Ferro, University of Catania, ItalyProf. Giovanni Giuffrida,University of Catania, ItalyProf. Carlo Pennisi, University of Catania, ItalyProf. Alberto Trobia, University of Palermo, ItalyProf. Rosalba Giugno, University of Catania, ItalyProf. Alfredo Pulvirenti, University of Catania, Italy

People interested in receiving further information about the school can contact:

Lipari School Organization
Prof. Alfredo Ferro -- Lipari School secretary
Universita' degli Studi di Catania - Dipartimento di Matematica e Informatica
Citta' Universitaria - Viale A.Doria, 6 - 95125 Catania - ITALY
Tel: +39 095 7383071
Fax: +39 095 7337032 / +39 095 330094
E-mail:school@dmi.unict.it

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Network theory expert sees Web pages as 19 clicks apart - Phys.Org

Network theory expert sees Web pages as 19 clicks apart - Phys.Org | Complex Networks Everywhere | Scoop.it
Telegraph.co.uk
Network theory expert sees Web pages as 19 clicks apart
Phys.Org
Barabási is known for his work in network theory and is described as a pioneer in this field.
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[1302.5721] Analyzing complex functional brain networks: fusing statistics and network science to understand the brain

RT @lshlj: Analyzing complex functional brain networks: fusing statistics and network science to understand the brain http://t.co/cl7MZk2zm1
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The Next Frontier Is Inside Your Brain - New York Times

The Next Frontier Is Inside Your Brain - New York Times | Complex Networks Everywhere | Scoop.it
The Next Frontier Is Inside Your Brain New York Times The Obama administration is planning a multiyear research effort to produce an “activity map” that would show in unprecedented detail the workings of the human brain, the most complex organ in...
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Regularity and Complexity in Dynamical Systems (by Albert C. J. Luo)

Regularity and Complexity in Dynamical Systems describes periodic and chaotic behaviors in dynamical systems, including continuous, discrete, impulsive,discontinuous, and switching systems. In traditional analysis, the periodic and chaotic behaviors in continuous, nonlinear dynamical systems were extensively discussed even if unsolved. In recent years, there has been an increasing amount of interest in periodic and chaotic behaviors in discontinuous dynamical systems because such dynamical systems are prevalent in engineering. Usually,the smoothening of discontinuous dynamical system is adopted in order to use the theory of continuous dynamical systems. However, such technique cannot provide suitable results in such discontinuous systems. In this book, an alternative way is presented to discuss the periodic and chaotic behaviors in discontinuous dynamical systems.

 

 


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Jim Al-Khalili - Quantum Life: How Physics Can Revolutionise Biology

"In this Friday Evening Discourse at the Royal Institution, Professor Jim Al-Khalili explores how the mysteries of quantum theory might be observable at the biological level."

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How Cells Know Where They Are

Development, regeneration, and even day-to-day physiology require plant and animal cells to make decisions based on their locations. The principles by which cells may do this are deceptively straightforward. But when reliability needs to be high—as often occurs during development—successful strategies tend to be anything but simple. Increasingly, the challenge facing biologists is to relate the diverse diffusible molecules, control circuits, and gene regulatory networks that help cells know where they are to the varied, sometimes stringent, constraints imposed by the need for real-world precision and accuracy.

 

How Cells Know Where They Are
Arthur D. Lander

Science 22 February 2013:
Vol. 339 no. 6122 pp. 923-927
http://dx.doi.org/10.1126/science.1224186


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CoSMoS 2013 Workshop

A. J. Alvarez-Socorro's insight:

SPECIAL ISSUE OF NATURAL COMPUTING JOURNAL: we will be organising a special issue of the Natural Computing journal based on the themes raised in the workshop. Suitable workshop submissions will be invited to submit to this special journal issue.

The 6th workshop on Complex Systems Modelling and Simulation (CoSMoS 2013) will take place as a 1-day satellite workshop during the Unconventional Computation and Natural Computation conference held between 1st and 5th July at the Università degli Studi di Milano-Bicocca, Italy. The CoSMoS workshops series provides a forum for research examining all aspects of the modelling and simulation of complex systems. This year, we will place a special focus on how complex systems simulations can be used to simulate unconventional and natural computation.

Constructing models and simulations of complex systems is a challenging and interdisciplinary task. Elements might include choice of modelling tools and techniques, simulation infrastructures, concurrency, the process of moving from models to simulations, arguing validity of simulations, and the identification of reusable engineering techniques such as patterns. The CoSMoS workshop series continues an initiative, based at the Universities of York and Kent, UK, to develop a framework and infrastructure for the construction of complex systems simulations.

Submitted papers will undergo a rigorous peer-review process and accepted papers will appear in the workshop proceedings published by Luniver Press. Proceedings of the previous CoSMoS workshop are available.

Areas of Interest

We are seeking submissions that explore aspects of complex systems modelling and simulation, with a special focus on how complex systems simulations can be used to simulate unconventional and natural computation. Areas of interest include, but are not limited to:

Complex systems simulation case-studiesModelling tools and techniquesSimulation infrastructuresArguing validity of simulationsConcurrency and distribution techniquesIdentification of reusable engineering techniquesWorking across scientific disciplinesSubmissions

We are accepting both full papers (to be presented orally) and abstracts (to be presented via a poster). Both full papers and abstracts will appear in the workshop proceedings.

For submission via abstract, please submit an abstract not longer than 2 pages of LNCS format that summarises the content of the poster you wish to present. Full papers can be of any length up to a maximum of 25 pages of LNCS format . If you wish to exceed the page limit, or have any other queries, then please email cosmos2013-group@york.ac.uk in advance of submission.

Papers should be submitted via the workshop's EasyChair page

Important DatesPaper Submission: 22 March 2013Notification of acceptance: 22 April 2013Camera ready copies: 6 May 2013CoSMoS Workshop: Between 1–5 July 2013
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Spread of Academic Success in a High School Social Network

Spread of Academic Success in a High School Social Network | Complex Networks Everywhere | Scoop.it

Application of social network analysis to education has revealed how social network positions of K-12 students correlate with their behavior and academic achievements. However, no study has been conducted on how their social network influences their academic progress over time. Here we investigated correlations between high school students’ academic progress over one year and the social environment that surrounds them in their friendship network. We found that students whose friends’ average GPA (Grade Point Average) was greater (or less) than their own had a higher tendency toward increasing (or decreasing) their academic ranking over time, indicating social contagion of academic success taking place in their social network.

 

Blansky D, Kavanaugh C, Boothroyd C, Benson B, Gallagher J, et al. (2013) Spread of Academic Success in a High School Social Network. PLoS ONE 8(2): e55944. http://dx.doi.org/10.1371/journal.pone.0055944

 


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Complexity Digest's curator insight, February 14, 2013 5:13 PM

This research was made mainly by high school students.

Eric L Berlow's curator insight, February 15, 2013 10:35 AM

close network neighborhood of friends, not acquaintances, determines future academic success

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Self-Organizing Networked Systems: You don’t cite me anymore - Scientific publications and the ravages of time

Self-Organizing Networked Systems: You don’t cite me anymore - Scientific publications and the ravages of time | Complex Networks Everywhere | Scoop.it
Self-Organizing Networked Systems -- A new paradigm for controlling networked systems

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Mark Newman, el hub en la sombra…

Mark Newman, el hub en la sombra… | Complex Networks Everywhere | Scoop.it
Las Redes Complejas sin complejos - Divulgación y aplicaciones de las redes complejas
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Cuando las redes compiten entre ellas

Cuando las redes compiten entre ellas | Complex Networks Everywhere | Scoop.it
Las Redes Complejas sin complejos - Divulgación y aplicaciones de las redes complejas
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Living Machines 2013 | CSN - Convergent Science Network of biomimetic and biohybrid systems

Living Machines 2013 | CSN - Convergent Science Network of biomimetic and biohybrid systems | Complex Networks Everywhere | Scoop.it
RT @Floridi: Living Machines 2013 | CSN - Convergent Science Network of biomimetic and biohybrid systems http://t.co/oolkH2mW9c
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Chaos in Nature (by Christophe Letellier)

Chaos theory deals with the description of motion (in a general sense) which cannot be predicted in the long term although produced by deterministic system, as well exemplified by meteorological phenomena. It directly comes from the Lunar theory -- a three-body problem -- and the difficulty encountered by astronomers to accurately predict the long-term evolution of the Moon using "Newtonian" mechanics. Henri Poincare's deep intuitions were at the origin of chaos theory. They also led the meteorologist Edward Lorenz to draw the first chaotic attractor ever published. But the main idea consists of plotting a curve representative of the system evolution rather than finding an analytical solution as commonly done in classical mechanics. Such a novel approach allows the description of population interactions and the solar activity as well. Using the original sources, the book draws on the history of the concepts underlying chaos theory from the 17th century to the last decade, and by various examples, show how general is this theory in a wide range of applications: meteorology, chemistry, populations, astrophysics, biomedicine, etc.

 

 


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Study: Facebook Impacts Your Mood The Most Of Any Social Network - Complex.com

Study: Facebook Impacts Your Mood The Most Of Any Social Network - Complex.com | Complex Networks Everywhere | Scoop.it
Complex.com
Study: Facebook Impacts Your Mood The Most Of Any Social Network
Complex.com
According to a recent study, Facebook, more than any other social network, is said to have the biggest impact on its user's moods, both negative and positive.
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How and why our conventional economic thinking causes global crises (discussion paper) - Econophysics Forum

Econophysics Forum is the central resource for interdisciplinary collaboration between physicists and the social sciences, providing up-to-date news and information on the latest events and research along with a huge archive of scientific papers...
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Measuring information interactions on the ordinal pattern of stock time series

The interactions among time series as individual components of complex systems can be quantified by measuring to what extent they exchange information among each other. In many applications, one focuses not on the original series but on its ordinal pattern. In such cases, trivial noises appear more likely to be filtered and the abrupt influence of extreme values can be weakened. Cross-sample entropy and inner composition alignment have been introduced as prominent methods to estimate the information interactions of complex systems. In this paper, we modify both methods to detect the interactions among the ordinal pattern of stock return and volatility series, and we try to uncover the information exchanges across sectors in Chinese stock markets.

 

Xiaojun Zhao, Pengjian Shang, and Jing Wang

Phys. Rev. E 87, 022805 (2013)
http://link.aps.org/doi/10.1103/PhysRevE.87.022805


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The Organizational Psyche: A Depth Psychology Model - Rethinking Complexity

The Organizational Psyche: A Depth Psychology Model - Rethinking Complexity | Complex Networks Everywhere | Scoop.it
In the 2003 book Mapping the Organizational Psyche: A Jungian Theory of Organizational Dynamics and Change, authors John G. Corlett and Carol S. Pearson model the organizational psyche in two layers: conscious and unconscious.

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7th Annual French Complex Systems Summer School

7th Annual French Complex Systems Summer School | Complex Networks Everywhere | Scoop.it

7th Annual French Complex Systems Summer School

"Collective Behaviour and Mobility in Complex Systems"
Le Havre, July 9th to 18th, 2013

http://www.iscpif.fr/CSSS2013


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New research to uncover nuances of networks

New research to uncover nuances of networks | Complex Networks Everywhere | Scoop.it

When a species disappears from a region, the rest of the ecosystem may flourish or collapse, depending on the role that species played. When a storm rolls across the coast, the power grid might reconfigure itself quickly or leave cities dark for days. A snowstorm might mean business as usual in a hardy city and a severe food shortage in another, depending on the distribution strategies of residents.

 

Each of these systems is a kind of network, with thousands of members and relationships linking them. Understanding how networks behave is key to ensuring their functioning.

 

With current network theory, scientists can predict a few simple trends, such as which web pages are likely to get more hits over time. Mostly, current models “flatten” the system to a list of points (nodes) and connections between them (edges). But the features that bestow a network’s true cohesion and character – such as the nuanced predator-prey dynamics in an ecosystem, hierarchies in a social community, or critical hubs in a distribution system – have eluded quantification.

 

A new four-year, $2.9 million grant from the Defense Advanced Research Projects Agency is supporting SFI research that will, the researchers hope, propel their understanding of networks to the next level.


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Complex systems made simple

Complex systems made simple | Complex Networks Everywhere | Scoop.it
Network scientists at Northeastern have designed an algorithm capable of identifying the subset of components that reveal a complex system's overall nature.
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Third European Ph.D. School on Mathematical Modeling of Complex Systems

http://nlsconf.physics.uoc.gr

15 – 27 July, 2013

Location: Technological Educational Institute (TEI) of Crete, Heraklion, Greece (http://www.teicrete.gr/tei/en/)

This Ph.D. School is intended for postgraduate students primarily from European countries (but students from other countries are also invited to apply) and offers four coherent lecture courses, taught by experts in each field, on:

I. Foundations of Complexity Science

Steven Bishop (London)
Tassos Bountis (Patras)
David K. Campbell (Boston)
Gregoire Nicolis (Brussels)

II. Complex Networks: Theory and Applications

Panos Argyrakis (Thessaloniki)
Barouch Barzel (Boston)
Jeff Johnson (London)

III. Complex Quantum Systems

Jurgen Lisenfeld (Karlsruhe)
Tsampikos Kottos (Wesleyan)
Stelios Tzortzakis (Heraklion)
Giorgos Tsironis (Heraklion)
Xenophon Zotos (Heraklion)

IV. Complexity in Social Sciences

Rosaria Conte (Rome)
Dirk Helbing (Zurich)
Klaus Mainzer (Munich)

The School is dedicated to the memory of Professor John S. Nicolis
A special poster competition will take place and a "John S. Nicolis prize" will be awarded to the student with the best poster presentation.


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