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Toronto predicts 2M peeps out today for Raptors basketball victory parade.
Is that a self-fulfilling or self-denying prophesy?
In our case, self-denying. No way we're gonna face those crowds.
Selected abstracts below. See ya in Montreal Wednesday.
Barry Wellman
Step by step, link by link, putting it together--Streisand/Sondheim
The earth to be spannd, connected by network--Walt Whitman
It's Always Something--Roseanne Roseannadanna
A day like all days, filled with those events
that alter and illuminate our times--Walter Cronkite
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Director, NetLab Network FRSC
Distinguished Visiting Scholar Social Media Lab Ryerson University
Founder, International Network for Social Network Analysis
NETWORKED: The New Social Operating System Lee Rainie & Barry Wellman
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---------- Forwarded message ----------
Date: Mon, 17 Jun 2019 11:01:59 +0000
From: "[utf-8] Complexity Digest" <[log in to unmask]>
Reply-To: [log in to unmask]
To: "[utf-8] Barry" <[log in to unmask]>
Subject: [utf-8] Latest Complexity Digest Posts
Learn about the latest and greatest related to complex systems research. More at https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D4bd754ed0e-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=MqO3bF_zAweXw1HZ-Nv27BWfPuKT91Wg07iMIZCyqKE&s=ONtEkhPULRE9q3cMqkCDzXU75ex0WJJ0fBuy3DAOK68&e=
Advances in Complex Systems and Their Applications to Cybersecurity
Cybersecurity is one of the fastest growing and largest technology sectors and is increasingly being recognized as one of the major issues in many industries, so companies are increasing their security budgets in order to guarantee the security of their processes. Successful menaces to the security of information systems could lead to safety, environmental, production, and quality problems.
One of the most harmful issues of attacks and intrusions is the ever-changing nature of attack technologies and strategies, which increases the difficulty of protecting computer systems. As a result, advanced systems are required to deal with the ever-increasing complexity of attacks in order to protect systems and information.
This special issue received several contributions, 5 of which have been accepted for publication.
Complexity
Volume 2019, Article ID 3261453, 2 pages
https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D5c1761d078-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=MqO3bF_zAweXw1HZ-Nv27BWfPuKT91Wg07iMIZCyqKE&s=z3vodFDrZ1H5mKdFJsVrHtjodMqfNrHrijannpxrMbs&e=
Editorial
Advances in Complex Systems and Their Applications to Cybersecurity
Fernando Sánchez Lasheras, Danilo Comminiello, and Alicja Krzemie˙˙
Source: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.hindawi.com&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=MqO3bF_zAweXw1HZ-Nv27BWfPuKT91Wg07iMIZCyqKE&s=NUSmM2oIVSKbMWjtRujhJWNgpyRdOQkf3ZEjrs1yVS0&e= (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D4b513a2d78-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=MqO3bF_zAweXw1HZ-Nv27BWfPuKT91Wg07iMIZCyqKE&s=fFdPCOM9tD5nKgj7GQlC6OjWp-FmNIH0HH6EMj1grhs&e= )
Complex Methods Applied to Data Analysis, Processing, and Visualisation
The amount of data available every day is not only enormous but growing at an exponential rate. Over the last ten years there has been an increasing interest in using complex methods to analyse and visualise massive datasets, gathered from very different sources and including many different features: social networks, surveillance systems, smart cities, medical diagnosis systems, business information, cyberphysical systems, and digital media data. Nowadays, there are a large number of researchers working in complex methods to process, analyse, and visualise all this information, which can be applied to a wide variety of open problems in different domains. This special issue presents a collection of research papers addressing theoretical, methodological, and practical aspects of data processing, focusing on algorithms that use complex methods (e.g., chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory) in a variety of domains (e.g., software engineering,
digital media data, bioinformatics, health care, imaging and video, social networks, and natural language processing). A total of 27 papers were received from different research fields, but sharing a common feature: they presented complex systems that process, analyse, and visualise large amounts of data. After the review process, 8 papers were accepted for publication (around 30% of acceptance ratio).
Complexity
Volume 2019, Article ID 9316123, 2 pages
https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Dd37b258a60-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=MqO3bF_zAweXw1HZ-Nv27BWfPuKT91Wg07iMIZCyqKE&s=IRU6H7Q61YpL554JPI8F_bE650f28P7Iu4-DlbOUeig&e=
Editorial
Complex Methods Applied to Data Analysis, Processing, and Visualisation
Jose Garcia-Rodriguez, Anastasia Angelopoulou, David Tomás, and Andrew Lewis
Source: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.hindawi.com&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=MqO3bF_zAweXw1HZ-Nv27BWfPuKT91Wg07iMIZCyqKE&s=NUSmM2oIVSKbMWjtRujhJWNgpyRdOQkf3ZEjrs1yVS0&e= (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3De548fc416c-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=MqO3bF_zAweXw1HZ-Nv27BWfPuKT91Wg07iMIZCyqKE&s=JfRaD7CISsDd4KO2SGmdI-Yqs-MXEe7m2CQx3tuhEds&e= )
Complexity in Forecasting and Predictive Models
The challenge of this special issue has been to know the state of the problem related to forecasting modeling and the creation of a model to forecast the future behavior that supports decision making by supporting real-world applications.
This issue has been highlighted by the quality of its research work on the critical importance of advanced analytical methods, such as neural networks, soft computing, evolutionary algorithms, chaotic models, cellular automata, agent-based models, and finite mixture minimum squares (FIMIX-PLS)
Mainly, all the papers are focused on triggering a substantive discussion on how the model predictions can face the challenges around the complexity field that lie ahead. These works help to better understand the new trends in computing and statistical techniques that allow us to make better forecasts. Complexity plays a prominent role in these trends, given the increasing variety and changing data flows, forcing academics to adopt innovative and hybrid methods.
Complexity
Volume 2019, Article ID 8160659, 3 pages
https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D6caae8c253-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=MqO3bF_zAweXw1HZ-Nv27BWfPuKT91Wg07iMIZCyqKE&s=u0TPO3Y90dNUsDIr1cc295eS5cKmBI-3uM15j2VRmFA&e=
Editorial
Complexity in Forecasting and Predictive Models
Jose L. Salmeron, Marisol B. Correia, and Pedro R. Palos-Sanchez
Source: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.hindawi.com&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=MqO3bF_zAweXw1HZ-Nv27BWfPuKT91Wg07iMIZCyqKE&s=NUSmM2oIVSKbMWjtRujhJWNgpyRdOQkf3ZEjrs1yVS0&e= (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Da1871f1421-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=MqO3bF_zAweXw1HZ-Nv27BWfPuKT91Wg07iMIZCyqKE&s=JswxeL49NgczPd33B3lSUGb2Gj-sbyDnPDVWFxirDV4&e= )
A simple contagion process describes spreading of traffic jams in urban networks
The spread of traffic jams in urban networks has long been viewed as a complex spatio-temporal phenomenon that often requires computationally intensive microscopic models for analysis purposes. In this study, we present a framework to describe the dynamics of congestion propagation and dissipation of traffic in cities using a simple contagion process, inspired by those used to model infectious disease spread in a population. We introduce two novel macroscopic characteristics of network traffic, namely congestion propagation rate \b{eta} and congestion dissipation rate {\mu}. We describe the dynamics of congestion propagation and dissipation using these new parameters, \b{eta}, and {\mu}, embedded within a system of ordinary differential equations, analogous to the well-known Susceptible-Infected-Recovered (SIR) model. The proposed contagion-based dynamics are verified through an empirical multi-city analysis, and can be used to monitor, predict and control the fraction of congested links in
the network over time.
A simple contagion process describes spreading of traffic jams in urban networks
Meead Saberi, Mudabber Ashfaq, Homayoun Hamedmoghadam, Seyed Amir Hosseini, Ziyuan Gu, Sajjad Shafiei, Divya J. Nair, Vinayak Dixit, Lauren Gardner, S. Travis Waller, Marta C. González
Source: arxiv.org (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Ddcecb01ae5-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=MqO3bF_zAweXw1HZ-Nv27BWfPuKT91Wg07iMIZCyqKE&s=0ZC6K09T1R4qn50X2X6h3VRrOg8yBpoD-aiqzZ3Owv8&e= )
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Sponsored by the Complex Systems Society.
Founding Editor: Gottfried Mayer.
Editor-in-Chief: Carlos Gershenson.
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