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It's foolish to say there are only 4 seasons in Toronto.
It's not deep winter, but it is not really spring.
Near Winter, or Almost Spring.
+5 and cloudy every day.
Selected articles are 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
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
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.chass.utoronto.ca_-7Ewellman&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=Tw7AHM63IFRYa0xZtRl8RX3hHKPtQYa-_2OKG0-u-Zg&e= https://urldefense.proofpoint.com/v2/url?u=http-3A__amzn.to_zXZg39&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=jCoN-oj3aH5TKPIB0vZ16aRbYQ09CKmzn3TCsKfO8Pk&e=
https://urldefense.proofpoint.com/v2/url?u=https-3A__en.wikipedia.org_wiki_Barry-5FWellman&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=_smFuaerFk49xsE_-EyqFir2DbnzuRte6tganNsDvOE&e=
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---------- Forwarded message ----------
Date: Mon, 29 Apr 2019 11:05:23 +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-3D84aae9ee07-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=KmDPoxSvUwC9Uc1JS-qO-Hhd467mAnjnm5Nsek-2-o4&e=
The stochastic thermodynamics of computation
(...) In this paper I review some of this recent work on the 'stochastic thermodynamics of computation'. After reviewing the salient parts of information theory, computer science theory, and stochastic thermodynamics, I summarize what has been learned about the entropic costs of performing a broad range of computations, extending from bit erasure to loop-free circuits to logically reversible circuits to information ratchets to Turing machines. These results reveal new, challenging engineering problems for how to design computers to have minimal thermodynamic costs. They also allow us to start to combine computer science theory and stochastic thermodynamics at a foundational level, thereby expanding both.
The necessity of extended autopoiesis
The theory of autopoiesis holds that an organism can be defined as a
network of processes. However, an organism also has a physical body. The
relationship between these two things˙˙network and body˙˙has been raised
in this issue of Adaptive Behaviour, with reference to an extended
interpretation of autopoiesis. This perspective holds that the network and
the body are distinct things, and that the network should be thought of as
extending beyond the boundaries of the body. The relationship between body
and network is subtle, and I revisit it here from the extended
perspective. I conclude that from an organism = network perspective, the
body is a biological solution to the problem of maintaining both the
distinctness of an organism, separate from but engaged with its
environment and other organisms, and its distinctiveness as a particular
individual.
The necessity of extended autopoiesis
Nathaniel Virgo
Adaptive Behavior
https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Dd18bc00ca1-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=vO4Uz1E9AFjK2tgezA3yZ2fkuZuI9ECFSI_QENYwsZk&e=
Source: journals.sagepub.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D2c2875f78a-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=oo6ghrOaqsplYAEREAXomob5eGV1aMvozI5oC5aXYZI&e=)
Towards a quantitative model of epidemics during conflicts
Epidemics may both contribute to and arise as a result of conflict. The effects of conflict on infectious diseases are complex and there have been confounding observations of both increase and decrease in disease outbreaks during and after conflicts. However there is no unified mathematical model that explains all these counter-intuitive observations. There is an urgent need for a quantitative framework for modelling conflicts and epidemics. We introduce a set of mathematical models to understand the role of conflicts in epidemics. Our mathematical framework has the potential to explain the counterintuitive observations and the complex role of human conflicts in epidemics. Our work suggests that aid and peacekeeping organizations should take an integrated approach that combines public health measures, socio-economic development, and peacekeeping in the conflict zone. Our approach exemplifies the role of non-linear thinking in complex systems like human societies. We view
our work as a step towards a quantitative model of disease spread in conflicts.
Banerjee S. 2019. Towards a quantitative model of epidemics during conflicts. PeerJ Preprints 7:e27651v1 https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D10fbea4388-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=HeeOIo-7rN8HnB2Pswsms8n9Kg09HWgF5vFmnGKI-EQ&e=
Source: peerj.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Deaca3b2f91-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=MFxNHtiqhseFSkCAVC8Tvd2_EzvJsrDOJDEmtiNg7Ew&e=)
NetSci-X 2020
https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D506a97992b-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=DnF-vkocO6mnEpApMyhsN_QTlczgAkJRXM_WwjpTHko&e=
NetSci-X, the Network Science Society˙˙s signature winter conference, will visit Tokyo, Japan in 2020. Bringing together leading researchers and innovators, NetSci-X 2020 will connect Japanese culture of innovation and hospitality with the novel perspectives of Network Science.
NetSci-X 2020 will include
* Main conference (plenary and parallel sessions, poster sessions) on January 20th ˙˙ 22nd
* One-day network science school on January 23rd
Source: netscix2020tokyo.github.io (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Dd9bd018957-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=Oajr2rbyqDqKpA2m4IsHy0WK6XAmk3WFVx8Y-xYG4Yw&e=)
Topical Alignment in Online Social Systems
https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Dddd0ac70f4-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=0RKJX1MRh4dvarHdAsDEVlFXBUp55yX9nNH_mpkoza8&e=
Understanding the dynamics of social interactions is crucial to comprehend human behavior. The emergence of online social media has enabled access to data regarding people relationships at a large scale. Twitter, specifically, is an information oriented network, with users sharing and consuming information. In this work, we study whether users tend to be in contact with people interested in similar topics, i.e., if they are topically aligned. To do so, we propose an approach based on the use of hashtags to extract information topics from Twitter messages and model users' interests. Our results show that, on average, users are connected with other users similar to them. Furthermore, we show that topical alignment provides interesting information that can eventually allow inferring users' connectivity. Our work, besides providing a way to assess the topical similarity of users, quantifies topical alignment among individuals, contributing to a better understanding of how complex
social systems are structured.
Topical Alignment in Online Social Systems
Felipe Maciel Cardoso, Sandro Meloni, André Santanchè, and Yamir Moreno
Front. Phys., 17 April 2019 | https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D6654a0a5e4-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=A3C3ddT5bnenfvquoLhBJ0iGxguOSfo8q57Q3a2uvc0&e=
Source: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.frontiersin.org&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=b9_AM55AGKf8EocEQiJrtHP3YwvE9eW6z6Ho7-Odbns&e= (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Dff0513415c-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=RI-OhTnFmltIaciEPO8k-SnkQOVlj54WEEY_7kLuxE0&e=)
Information as a construction
The purpose of this review paper is to outline the constructivist approach to the notion of information from two perspectives. The first perspective explores the role of ˙˙constructed˙˙ information in the ˙˙constructivist niche˙˙ ˙˙ a common name for the appropriate viewpoints in different science fields, such as cognitive and neuroscience, psychology, cybernetics and biology of cognition. The second perspective considers library and information science (LIS) papers in which information is treated as a constructed entity. This paper assumed the origin of the notion of information to be a construction as defined in the ˙˙constructivist niche˙˙ that is based upon communication theory and cybernetics. Conversely, the origin of the notion of information as a construction as per LIS can be found in Bateson˙˙s definition of information as a ˙˙difference which makes the difference,˙˙ as well as in the 1970s LIS definition wherein information is associated with the direction of a cognitive
viewpoint, as in a ˙˙cognitive turn˙˙. The study showed that ˙˙information as a construction˙˙, except in a few cases, did not play a significant role in the constructivist theories nor in LIS. LIS researchers reduce the concept of information to a subjective, socially-constructed entity which inherently results in different interpretations.
Information as a construction
Boris Bosancic, Marta Matijevic
Journal of Librarianship and Information Science
Source: journals.sagepub.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D0256c05d40-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=aGyKcR851iphZhLo2pKSxnsZDgnQ9NJW2yE9EQXbKbI&e=)
Network properties of salmonella epidemics
https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D46a56e0393-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=j6N2h5HypXYLG3xf_73NVi-FYfYw5pUZ8LLLg80VQWU&e=
We examine non-typhoidal Salmonella (S. Typhimurium or STM) epidemics as complex systems, driven by evolution and interactions of diverse microbial strains, and focus on emergence of successful strains. Our findings challenge the established view that seasonal epidemics are associated with random sets of co-circulating STM genotypes. We use high-resolution molecular genotyping data comprising 17,107 STM isolates representing nine consecutive seasonal epidemics in Australia, genotyped by multiple-locus variable-number tandem-repeats analysis (MLVA). From these data, we infer weighted undirected networks based on distances between the MLVA profiles, depicting epidemics as networks of individual bacterial strains. The network analysis demonstrated dichotomy in STM populations which split into two distinct genetic branches, with markedly different prevalences. This distinction revealed the emergence of dominant STM strains defined by their local network topological properties,
such as centrality, while correlating the development of new epidemics with global network features, such as small-world propensity.
Network properties of salmonella epidemics
Oliver M. Cliff, Vitali Sintchenko, Tania C. Sorrell, Kiranmayi Vadlamudi, Natalia McLean & Mikhail Prokopenko
Scientific Reports volume 9, Article number: 6159 (2019)
Source: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.nature.com&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=9ol07dwfeIw0F7kGf_UioLwpaL6iW5mHInbYjGz43SI&e= (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Dfd6882c581-26e-3D55e25a0e3e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=32_OG3IR6vRg_fa0IOu5T4NeMsIiY9eq-QxG_v-xJrs&s=69N9XGimhmOxk3Dqkto_aJnb4boBHhbq-Y6vEz0syHE&e=)
Founding Editor: Gottfried Mayer.
Editor-in-Chief: Carlos Gershenson.
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