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.
Prof. Claudio Cioffi-Revilla, George Mason University, USA
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:email@example.com
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...
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.
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.
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 firstname.lastname@example.org 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
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.
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.
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.
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...
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.
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.
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.
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)
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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