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Happy Canada Day to All.

In its honor, we have renounced American products to the extent possible.
Bourbon is the first to go, coming from Mitch McConnell's Kentucky

   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
   NETWORKED: The New Social Operating System  Lee Rainie & Barry Wellman
   https://urldefense.proofpoint.com/v2/url?u=http-3A__www.chass.utoronto.ca_-7Ewellman&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=5XQRMUqO0rHRIWnbt_wyG4yG9sUZ2ZAy341GEc3qjuI&s=PjQoEIWNyLNMLqccGDGY62CfEV6Jjc51OTEieN-Z_iw&e=            https://urldefense.proofpoint.com/v2/url?u=http-3A__amzn.to_zXZg39&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=5XQRMUqO0rHRIWnbt_wyG4yG9sUZ2ZAy341GEc3qjuI&s=0h12NQqBVZ613fjcsWU5h1QAeFf2ko_aHbceSvosjzI&e=
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   _______________________________________________________________________


Social Physics: Uncovering Human Behaviour from Communication

    In the post year 2000 era the technologies that facilitate human 
communication have rapidly multiplied. While the adoption of these 
technologies has hugely impacted the behaviour and sociality of people, 
specifically in urban but also in rural environments, their "digital 
footprints" on different data bases have become an active area of 
research. The existence and accessibility of such large population-level 
datasets, has allowed scientists to study and model innate human 
tendencies and social patterns in an unprecedented way that complements 
traditional research approaches like questionnaire studies. In this review 
we focus on data analytics and modelling research - we call Social Physics 
- as it has been carried out using the mobile phone data sets to get 
insight into the various aspects of human sociality, burstiness in 
communication, mobility patterns, and daily rhythms.


Social Physics: Uncovering Human Behaviour from Communication
Kunal Bhattacharya, Kimmo Kaski

Source: arxiv.org (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D71cd61aa2f-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=5XQRMUqO0rHRIWnbt_wyG4yG9sUZ2ZAy341GEc3qjuI&s=L1R8GPOHe_JIwo3i-5HQt_jRMztcKUAmh53dGY1QMGw&e=)



Assessing diversity in multiplex networks

    Diversity, understood as the variety of different elements or 
configurations that an extensive system has, is a crucial property that 
allows maintaining the system's functionality in a changing environment, 
where failures, random events or malicious attacks are often unavoidable. 
Despite the relevance of preserving diversity in the context of ecology, 
biology, transport, finances, etc., the elements or configurations that 
more contribute to the diversity are often unknown, and thus, they can not 
be protected against failures or environmental crises. This is due to the 
fact that there is no generic framework that allows identifying which 
elements or configurations have crucial roles in preserving the diversity 
of the system. Existing methods treat the level of heterogeneity of a 
system as a measure of its diversity, being unsuitable when systems are 
composed of a large number of elements with different attributes and types 
of interactions. Besides, with limited resources, one needs to find the 
best preservation policy, i.e., one needs to solve an optimization 
problem. Here we aim to bridge this gap by developing a metric between 
labeled graphs to compute the diversity of the system, which allows 
identifying the most relevant components, based on their contribution to a 
global diversity value. The proposed framework is suitable for large 
multiplex structures, which are constituted by a set of elements 
represented as nodes, which have different types of interactions, 
represented as layers. The proposed method allows us to find, in a genetic 
network (HIV-1), the elements with the highest diversity values, while in 
a European airline network, we systematically identify the companies that 
maximize (and those that less compromise) the variety of options for 
routes connecting different airports.

Assessing diversity in multiplex networks
L.C. Carpi, T.A. Schieber, P.M. Pardalos, G. Marfany, C. Masoller, A. Díaz-Guilera, M.G. Ravetti

Source: arxiv.org 
(https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D4a2cd65608-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=5XQRMUqO0rHRIWnbt_wyG4yG9sUZ2ZAy341GEc3qjuI&s=KA7tbn2YAT2A4r8w5xsJ2-XZF2u7InOiPo-K9JNv9S4&e=)



Complex Spreading Phenomena in Social Systems

    https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D75571276c4-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=5XQRMUqO0rHRIWnbt_wyG4yG9sUZ2ZAy341GEc3qjuI&s=bn43mScDRDxj_zX-_DDD6G5fd1p8zNLzdhegvNyrxvM&e=

This text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there is now experimental evidence that epidemic and social spreading work in subtly different ways. While previously explored through modeling, there is currently an explosion of work on revealing the mechanisms underlying complex contagion based on big data and data-driven approaches.

This volume consists of four parts. Part 1 is an Introduction, providing an accessible summary of the state-of-the-art. Part 2 provides an overview of the central theoretical developments in the field. Part 3 describes the empirical work on observing spreading processes in real-world networks. Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily.

Each contribution is authored by leading experts in the field. This volume, though based on technical selections of the most important results on complex spreading, remains quite accessible to the newly interested. The main benefit to the reader is that the topics are carefully structured to take the novice to the level of expert on the topic of social spreading processes. This book will be of great importance to a wide field: from researchers in physics, computer science, and sociology to professionals in public policy and public health.


Complex Spreading Phenomena in Social Systems
Influence and Contagion in Real-World Social Networks
Editors: Sune Lehmann, Yong-Yeol Ahn

Source: link.springer.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D3d26975f8f-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=5XQRMUqO0rHRIWnbt_wyG4yG9sUZ2ZAy341GEc3qjuI&s=WxleRhyxrMOhk_pkBimqyjsX-n2NnwIB7N2jTyyWITc&e=)


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

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