networks and network weaving
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The Why of Things: Causality in Science, Medicine, and Life: Peter V. Rabins: 9780231164726: Amazon.com: Books

The Why of Things: Causality in Science, Medicine, and Life

~ Peter V. Rabins (author) More about this product
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The Why of Things: Causality in Science, Medicine, and Life [Peter V. Rabins] on Amazon.com. *FREE* super saver shipping on qualifying offers. Why was there a meltdown at the Fukushima power plant? Why do some people get cancer and not others?
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Unless we understand causality in complex system, we'll never be able to evaluate in a way that really works!

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networks and network weaving
How networks can transform our world
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Understanding Network Effects

Understanding Network Effects | networks and network weaving | Scoop.it
I am a big fan of A16Z podcasts, and they just released a terrific episode on Network Effect. Network effect is an important, and somewhat confusing topic. The reason network effect is important is that the businesses with a true network effect are highly defensible, have strong retention and engagement, exhibit characteristics of a monopoly, and tend to last for…
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Control of finite critical behaviour in a small-scale social system

Many adaptive systems sit near a tipping or critical point. For systems near a critical point small changes to component behaviour can induce large-scale changes in aggregate structure and function. Criticality can be adaptive when the environment is changing, but entails reduced robustness through sensitivity. This tradeoff can be resolved when criticality can be tuned. We address the control of finite measures of criticality using data on fight sizes from an animal society model system (Macaca nemestrinan=48). We find that a heterogeneous, socially organized system, like homogeneous, spatial systems (flocks and schools), sits near a critical point; the contributions individuals make to collective phenomena can be quantified; there is heterogeneity in these contributions; and distance from the critical point (DFC) can be controlled through biologically plausible mechanisms exploiting heterogeneity. We propose two alternative hypotheses for why a system decreases the distance from the critical point.

 

Control of finite critical behaviour in a small-scale social system
Bryan C. Daniels, David C. Krakauer & Jessica C. Flack
Nature Communications 8, Article number: 14301 (2017)
doi:10.1038/ncomms14301


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After a Disaster, Social Capital Matters More Than Bottled Water and Batteries

After a Disaster, Social Capital Matters More Than Bottled Water and Batteries | networks and network weaving | Scoop.it
Based on interviews with survivors and a review of the data, we believe that communities with more ties, interaction, and shared norms worked effectively to provide help to kin, family, and neighbors. In many cases only 40 minutes separated the earthquake and the arrival of the tsunami. During that time, residents literally picked up and carried many elderly people out of vulnerable, low-lying areas. In high-trust neighborhoods, people knocked on doors of those who needed help and escorted them out of harm’s way.
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A Cascade of Sand: Complex Systems in a Complex Time

A Cascade of Sand: Complex Systems in a Complex Time | networks and network weaving | Scoop.it
The real world is a complex, chaotic, unpredictable system. This requires a shift in thinking from the deterministic, linear world we thought we lived in.
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Summer 2016 update to my board – Lorna Prescott – Medium

Summer 2016 update to my board – Lorna Prescott – Medium | networks and network weaving | Scoop.it
I enjoyed openly (if quietly) creating and publishing my quarterly report to Dudley CVS Trustees in July here on Medium, so thought I would keep up this open reporting. I am influenced by writing and…
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Rescooped by june holley from Social Network Analysis Applications
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Reading list: Using social network analysis (SNA) in social-ecological studies | Resilience Science

Reading list: Using social network analysis (SNA) in social-ecological studies | Resilience Science | networks and network weaving | Scoop.it
RT @dstokols: Using social network analysis (SNA) in social-ecological studies - http://t.co/VWFkVeDh2X #socialecology via @rebecca_jarvis

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Premsankar Chakkingal's curator insight, February 1, 2014 8:13 PM
network analysis in social-ecological studies
Rescooped by june holley from CxBooks
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43 Visions for Complexity

Coping with the complexities of the social world in the 21st century requires deeper quantitative and predictive understanding. Forty-three internationally acclaimed scientists and thinkers share their vision for complexity science in the next decade in this invaluable book. Topics cover how complexity and big data science could help society to tackle the great challenges ahead, and how the newly established Complexity Science Hub Vienna might be a facilitator on this path.

 

43 Visions for Complexity. Edited by Stefan Thurner

World Scientific


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A 10-point plan to stop Trump and make gains in justice and equality

A 10-point plan to stop Trump and make gains in justice and equality | networks and network weaving | Scoop.it
While enthusiasm for the struggle seemed high at the Women's March, an important question was looming: What’s the strategic plan?
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How Do We Track Networks of the Gift Economy?

How Do We Track Networks of the Gift Economy? | networks and network weaving | Scoop.it
One of the powerful dynamics of successful entrepreneurial networks is the use of complex reciprocity (or what anthropologists call a gif
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Rescooped by june holley from Research Capacity-Building in Africa
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What is Social Network Analysis? by Prof Martin Everett

The focus of social network analysis is on the network of relations. A social network consists of a set of actors (also called nodes or vertices) togethe
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Characteristics of the evolution of cooperation by the probabilistic peer-punishment based on the difference of payoff

Regarding costly punishment of two types, especially peer-punishment is considered to decrease the average payoff of all players as well as pool-punishment does, and to facilitate the antisocial punishment as a result of natural selection. To solve those problems, the author has proposed the probabilistic peer-punishment based on the difference of payoff. In the limited condition, the proposed peer-punishment has shown the positive effects on the evolution of cooperation, and increased the average payoff of all players.

Based on those findings, this study exhibits the characteristics of the evolution of cooperation by the proposed peer-punishment. Those characteristics present the significant contribution to knowledge that for the evolution of cooperation, a limited number of players should cause severe damage to defectors at the large expense of their payoff when connections between them are sparse, whereas a greater number of players should share the responsibility to punish defectors at the relatively small expense of their payoff when connections between them are dense.

 

Characteristics of the evolution of cooperation by the probabilistic peer-punishment based on the difference of payoff

Tetsushi Ohdaira

Chaos, Solitons & Fractals
Volume 95, February 2017, Pages 77–83


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Rescooped by june holley from Papers
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The unfolding and control of network cascades

  A characteristic property of networks is their ability to propagate
influences, such as infectious diseases, behavioral changes, and failures. An
especially important class of such contagious dynamics is that of cascading
processes. These processes include, for example, cascading failures in
infrastructure systems, extinctions cascades in ecological networks, and
information cascades in social systems. In this review, we discuss recent
progress and challenges associated with the modeling, prediction, detection,
and control of cascades in networks.

 

The Unfolding and Control of Network Cascades,
Adilson E. Motter and Yang Yang,
Physics Today, January 2017, page 32.
http://physicstoday.scitation.org/doi/10.1063/PT.3.3426


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How the new science of computational history is changing the study of the past

How the new science of computational history is changing the study of the past | networks and network weaving | Scoop.it
Applying network theory to medieval records suggests that historical events are governed by “laws of history,” just as nature is bound by the laws of physics.
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A Brief Guide to Getting Started Gathering Network Mapping Data | Greater Than The Sum

A Brief Guide to Getting Started Gathering Network Mapping Data | Greater Than The Sum | networks and network weaving | Scoop.it
How to get started network mapping. Guide to using sumApp to gather network relationship data used in Kumu to map your social change network.
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Peer to peer: At the heart of influencing more effective philanthropy – Hewlett Foundation

Peer to peer: At the heart of influencing more effective philanthropy – Hewlett Foundation | networks and network weaving | Scoop.it
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A solution to the single-question crowd wisdom problem

Once considered provocative, the notion that the wisdom of the crowd is superior to any individual has become itself a piece of crowd wisdom, leading to speculation that online voting may soon put credentialed experts out of business. Recent applications include political and economic forecasting, evaluating nuclear safety, public policy, the quality of chemical probes, and possible responses to a restless volcano. Algorithms for extracting wisdom from the crowd are typically based on a democratic voting procedure. They are simple to apply and preserve the independence of personal judgment. However, democratic methods have serious limitations. They are biased for shallow, lowest common denominator information, at the expense of novel or specialized knowledge that is not widely shared. Adjustments based on measuring confidence do not solve this problem reliably. Here we propose the following alternative to a democratic vote: select the answer that is more popular than people predict. We show that this principle yields the best answer under reasonable assumptions about voter behaviour, while the standard ‘most popular’ or ‘most confident’ principles fail under exactly those same assumptions. Like traditional voting, the principle accepts unique problems, such as panel decisions about scientific or artistic merit, and legal or historical disputes. The potential application domain is thus broader than that covered by machine learning and psychometric methods, which require data across multiple questions.

 

A solution to the single-question crowd wisdom problem

Dražen Prelec, H. Sebastian Seung & John McCoy

Nature 541, 532–535 (26 January 2017) doi:10.1038/nature21054

 


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Complex Networks 2017

Complex Networks 2017 | networks and network weaving | Scoop.it

The International Conference on Complex Networks and their Applications aims at bringing together researchers from different scientific communities working on areas related to complex networks.

Two types of contributions are welcome: theoretical developments arising from practical problems, and case studies where methodologies are applied. Both contributions are aimed at stimulating the interaction between theoreticians and practitioners.

 

The 6th International Conference on Complex Networks and Their Applications
November 29 - December 01 2017
Lyon, France


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Rescooped by june holley from Social Network Analysis Applications
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Learning social network embeddings for predicting information diffusion

Learning social network embeddings for predicting information diffusion | networks and network weaving | Scoop.it

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Association of Facebook Use With Compromised Well-Being: A Longitudinal Study

Face-to-face social interactions enhance well-being. With the ubiquity of social media, important questions have arisen about the impact of online social interactions. In the present study, we assessed the associations of both online and offline social networks with several subjective measures of well-being. We used 3 waves (2013, 2014, and 2015) of data from 5,208 subjects in the nationally representative Gallup Panel Social Network Study survey, including social network measures, in combination with objective measures of Facebook use. We investigated the associations of Facebook activity and real-world social network activity with self-reported physical health, self-reported mental health, self-reported life satisfaction, and body mass index. Our results showed that overall, the use of Facebook was negatively associated with well-being. For example, a 1-standard-deviation increase in "likes clicked" (clicking "like" on someone else's content), "links clicked" (clicking a link to another site or article), or "status updates" (updating one's own Facebook status) was associated with a decrease of 5%-8% of a standard deviation in self-reported mental health. These associations were robust to multivariate cross-sectional analyses, as well as to 2-wave prospective analyses. The negative associations of Facebook use were comparable to or greater in magnitude than the positive impact of offline interactions, which suggests a possible tradeoff between offline and online relationships.

 

Association of Facebook Use With Compromised Well-Being: A Longitudinal Study.
Shakya HB, Christakis NA. Am J Epidemiol. 2017 Jan 16. doi: 10.1093/aje/kww189


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Network Structure

An introduction to social network analysis and network structure measures, like density and centrality. Table of Contents: 00:00 - Network Structure 00:12
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Rescooped by june holley from E-Learning-Inclusivo (Mashup)
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Community Tracking in a cMOOC and Nomadic Learner Behaviour Identification on a Connectivist Rhizomatic Learning Network ~ Stephen Downes

Community Tracking in a cMOOC and Nomadic Learner Behaviour Identification on a Connectivist Rhizomatic Learning Network ~ Stephen Downes | networks and network weaving | Scoop.it
Online learning, new media, connectivism, MOOCs, personal learning environments, new literacy, and more from Stephen Downes

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Mapping the Themes, Impact, and Cohesion of Creativity Research over the Last 25 Years

Mapping the Themes, Impact, and Cohesion of Creativity Research over the Last 25 Years | networks and network weaving | Scoop.it

 

This article describes the themes found in the past 25 years of creativity research. Computational methods and network analysis were used to map keyword theme development across ~1,400 documents and ~5,000 unique keywords from 1990 (the first year keywords are available in Web of Science) to 2015.

 

Mapping the Themes, Impact, and Cohesion of Creativity Research over the Last 25 Years
Rich Williams, Mark A. Runco & Eric Berlow
Creativity Research Journal.Volume 28, 2016 - Issue 4 Pages 385-394 | Published online: 14 Nov 2016


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Organize for Complexity, part I+II - Special Edition Paper

The future of the Organization. Special Edition of the BetaCodex Network´s white papers on Organizing for Complexity - two papers in one! Illustrations by Pia …
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