*****  To join INSNA, visit  *****

Bev/I had a great 3 days visit in Toronto with Russ/Carole Bernard.
Just as Bev/I founded INSNA, Russ/Carole were key founders of the Sunbelt 
Dinosaurs are not extinct, yet.

Selections below
   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
   NetLab Network                 FRSC                      INSNA Founder
   Distinguished Visiting Scholar   Social Media Lab   Ryerson University
   Distinguished Senior Advisor     	     University Learning Academy
   NETWORKED: The New Social Operating System  Lee Rainie & Barry Wellman  

---------- Forwarded message ----------
Date: Mon, 7 May 2018 11:02:54 +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

Sensitive Dependence on Network Structure: Analog of Chaos and Opportunity for Control

The advancement of network science over the past 20 years has created the 
expectation that we will soon be able to systematically control the 
behavior of complex network systems and in turn address numerous 
outstanding scientific problems, from cell reprogramming and drug target 
identification to cascade control and self-healing infrastructure 
development [4]. This expectation is not without reason, given that 
control technologies have been part of human development for over 2,000 
years [1].

While significant progress has been made, our current ability to control is still limited in many systems. This is not so much from lack of available technologies to actuate specific network elements as from challenges imposed by unique characteristics of large real networks to designing system-level control actions [4]. These limiting characteristics include the combination of high dimensionality, nonlinearity, and constraints on the interventions, which set networks apart from other systems to which control has been traditionally applied [1]. Recent progress on developing control techniques scalable to large networks has been driven by the design of new approaches.

Sensitive Dependence on Network Structure: Analog of Chaos and Opportunity for Control
By Adilson E. Motter and Takashi Nishikawa

Source: (

Complexity and Data Analytics Summer Courses @NECSI

    The NECSI Summer School offers two intensive week-long courses on complexity science, modeling and networks, and data analytics. The format of the courses is modular and you may register for either or both of the weeks. Each week also includes a one-day lab session. If desired, arrangements for credit at a home institution may be made in advance.

The first week offers an introduction to complex systems concepts and modeling. The second week will cover networks and data analytics. Participants will learn how to handle large datasets using academy- and industry-standard toolboxes, how to integrate data into the construction of models and analysis relevant to research and industry applications, and a variety of visualization techniques.

The courses are intended for faculty, graduate students, post-doctoral fellows, professionals and others who would like to gain an understanding of complexity science and data analytics for their respective fields, new research directions, or industry applications.

The schedule for the summer school is as follows:
 Lab 1: June 3 CX102: Computer Programming for Complex Systems
 Week 1: June 4-8 CX201: Concepts and Modeling
 Lab 2: June 10 CX103: Setting up for Data Analytics
 Week 2: June 11-15 CX202: Networks and Data Analytics

Source: (

Sponsored by the Complex Systems Society.
Founding Editor: Gottfried Mayer.
Editor-in-Chief: Carlos Gershenson.

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