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Crowdsourcing for Participatory Democracies: Efficient Elicitation of Social Choice Functions

We present theoretical and empirical results demonstrating the usefulness of voting rules for participatory democracies. We first give algorithms which efficiently elicit \epsilon-approximations to two prominent voting rules: the Borda rule and the Condorcet winner. This result circumvents previous prohibitive lower bounds and is surprisingly strong: even if the number of ideas is as large as the number of participants, each participant will only have to make a logarithmic number of comparisons, an exponential improvement over the linear number of comparisons previously needed. We demonstrate the approach in an experiment in Finland's recent off-road traffic law reform, observing that the total number of comparisons needed to achieve a fixed \epsilon approximation is linear in the number of ideas and that the constant is not large.
Finally, we note a few other experimental observations which support the use of voting rules for aggregation. First, we observe that rating, one of the common alternatives to ranking, manifested effects of bias in our data. Second, we show that very few of the topics lacked a Condorcet winner, one of the prominent negative results in voting. Finally, we show data hinting at a potential future direction: the use of partial rankings as opposed to pairwise comparisons to further decrease the elicitation time.


Via Bernard Ryefield
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Frontiers | Book review: Networks of the Brain | Psychology

Frontiers | Book review: Networks of the Brain | Psychology | networks and network weaving | Scoop.it
Book review: Networks of the Brain
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Participatory Sustainability: Notes for an emerging field of civilizational engagement: Tom Atlee: 9781542856393: Amazon.com: Books

Participatory Sustainability: Notes for an emerging field of civilizational engagement: Tom Atlee: 9781542856393: Amazon.com: Books | networks and network weaving | Scoop.it
Participatory Sustainability: Notes for an emerging field of civilizational engagement [Tom Atlee] on Amazon.com. *FREE* shipping on qualifying offers. Participatory Sustainability introduces the idea that sustainability cannot be achieved merely through top-down government policy or economic activity. Sustainability requires the participation of all people and all parts of society
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Digital Transformation - Part I: It’s All About Networks

Digital Transformation - Part I:	It’s All About Networks | networks and network weaving | Scoop.it
by Rod Collins, Innovation Sherpa at Salt Flats
In his recently published book, The Seventh Sense: Power, Fortune, and Survival in the Age o
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Why we live in hierarchies: a quantitative treatise

This book is concerned with the various aspects of hierarchical collective behaviour which is manifested by most complex systems in nature. From the many of the possible topics, we plan to present a selection of those that we think are useful from the point of shedding light from very different directions onto our quite general subject. Our intention is to both present the essential contributions by the existing approaches as well as go significantly beyond the results obtained by traditional methods by applying a more quantitative approach then the common ones (there are many books on qualitative interpretations). In addition to considering hierarchy in systems made of similar kinds of units, we shall concentrate on problems involving either dominance relations or the process of collective decision-making from various viewpoints.

 

Why we live in hierarchies: a quantitative treatise
Anna Zafeiris, Tamás Vicsek


Via Complexity Digest
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Rethinking Innovation and Scale (SSIR)

Rethinking Innovation and Scale (SSIR) | networks and network weaving | Scoop.it
SSIR academic editor Johanna Mair talks with Roy Steiner of Omidyar Network, Renee Kaplan of the Skoll Foundation, Jim Bildner of the Draper Richards Kaplan Foundation, and Christian Seelos, coauthor with Mair of the new book Innovation and Scaling for Impact.
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Rescooped by june holley from Papers
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Mathematicians Decode the Surprising Complexity of Cow Herds

Mathematicians Decode the Surprising Complexity of Cow Herds | networks and network weaving | Scoop.it
DO ME A favor and picture a pasture dotted with a herd of grazing cows. Some stand and stare at you with that patented cow stare, others bury their heads in the green, green grass, while still others have laid down for a rest. Tranquil, right? About as simple as life gets?
Well, I’m sorry to say that your idea of the herd life may be a lie. Because a new mathematical model posits that while they don’t look it, cow herds may be extremely dynamic, secretly contentious gatherings of warring interests. Yes, with the help of a biologist, mathematicians calculated the fascinating dynamics of cow herds, and yes, they reported it today in a journal called Chaos.

Via Complexity Digest
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Rescooped by june holley from Papers
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Limited individual attention and online virality of low-quality information

Limited individual attention and online virality of low-quality information | networks and network weaving | Scoop.it

Social media are massive marketplaces where ideas and news compete for our attention. Previous studies have shown that quality is not a necessary condition for online virality and that knowledge about peer choices can distort the relationship between quality and popularity. However, these results do not explain the viral spread of low-quality information, such as the digital misinformation that threatens our democracy. We investigate quality discrimination in a stylized model of an online social network, where individual agents prefer quality information, but have behavioural limitations in managing a heavy flow of information. We measure the relationship between the quality of an idea and its likelihood of becoming prevalent at the system level. We find that both information overload and limited attention contribute to a degradation of the market’s discriminative power. A good tradeoff between discriminative power and diversity of information is possible according to the model. However, calibration with empirical data characterizing information load and finite attention in real social media reveals a weak correlation between quality and popularity of information. In these realistic conditions, the model predicts that low-quality information is just as likely to go viral, providing an interpretation for the high volume of misinformation we observe online.

 

Limited individual attention and online virality of low-quality information
Xiaoyan Qiu, Diego F. M. Oliveira, Alireza Sahami Shirazi, Alessandro Flammini & Filippo Menczer

Nature Human Behaviour 1, Article number: 0132 (2017)
doi:10.1038/s41562-017-0132


Via Complexity Digest
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Efficient method for estimating the number of communities in a network

While there exist a wide range of effective methods for community detection in networks, most of them require one to know in advance how many communities one is looking for. Here we present a method for estimating the number of communities in a network using a combination of Bayesian inference with a novel prior and an efficient Monte Carlo sampling scheme. We test the method extensively on both real and computer-generated networks, showing that it performs accurately and consistently, even in cases where groups are widely varying in size or structure.

 

Efficient method for estimating the number of communities in a network
Maria A. Riolo, George T. Cantwell, Gesine Reinert, M. E. J. Newman


Via Complexity Digest
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Global Reset: Upgrading Society in the Digital Age

The America-dominated era had industrialized the world, and created previously unseen levels of luxury. It also created a financial industry to make it happen, and a digital infrastructure to watch and control the world. Yet, it has failed to solve the existential challenges of our planet: climate change, environmental destruction, resource depletion. This lack of sustainability is causing wars, mass migration, and a future heading for disaster. A new approach – one that brings people and nature in balance – is urgently needed.

Via Complexity Digest
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Rescooped by june holley from Biomimicry
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Scientists Develop a Novel Algorithm Inspired by Bee Colonies to Help Dismantling Criminal Social Networks

Scientists Develop a Novel Algorithm Inspired by Bee Colonies to Help Dismantling Criminal Social Networks | networks and network weaving | Scoop.it

"Researchers from the University of Granada (UGR) have designed an algorithm, inspired by the intelligent and social behavior of bee colonies, which allows law enforcement to attack and dismantle any type of social network that poses a threat, whether physical or virtual, such as social networks linked to organized crime and jihadist terrorism."


Via Miguel Prazeres
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Understanding What Makes Plants Happy

Understanding What Makes Plants Happy | networks and network weaving | Scoop.it
Thomas Rainer’s work is a revelation: It turns out that plants are social, and have a body language that explains what they need.
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Transformation Through Wise Governance Networks | Circle Forward

Transformation Through Wise Governance Networks | Circle Forward | networks and network weaving | Scoop.it

Click here to edit the content

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Inclusive networks are shaping our lives right now. Are they governance? – Random Communications from an Evolutionary Edge

Inclusive networks are shaping our lives right now. Are they governance? – Random Communications from an Evolutionary Edge | networks and network weaving | Scoop.it
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Rescooped by june holley from Learning with Technology
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Why Learning Through Social Networks Is The Future

Why Learning Through Social Networks Is The Future | networks and network weaving | Scoop.it
Why Learning Through Social Networks Is The Future

Via NextLearning
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LLC Webinar Series | Tools for Network Mapping: How SNA maps can transform your work with Christine Capra & Tracy Kunkler | Leadership Learning Community

LLC Webinar Series | Tools for Network Mapping: How SNA maps can transform your work with Christine Capra & Tracy Kunkler | Leadership Learning Community | networks and network weaving | Scoop.it
 Social Network Analyses are often used to measure the progress of networks. Through the maps, you’re able to track how relationships propel the work and which relationships can be fostered further to catalyze energy and create the foundation for more experiments and harvest learning.
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Rescooped by june holley from CxBooks
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Defined by Design: The Surprising Power of Hidden Gender, Age, and Body Bias in Everyday Products and Places

Defined by Design: The Surprising Power of Hidden Gender, Age, and Body Bias in Everyday Products and Places | networks and network weaving | Scoop.it

This wide-ranging overview of design in everyday life demonstrates how design shapes our lives in ways most of us would never imagine. The author, a leading expert in social and psychological issues in design, uncovers the gender, age, and body biases inherent in the designs of common products and living spaces that we all routinely use. From the schools our children attend and the buildings we work in to ill-fitting clothes and one-size-fits-all seating in public transportation, restaurants, and movie theaters, we are surrounded by an artificial environment that can affect our comfort, our self-image, and even our health.

Anthony points out the flaws and disadvantages of certain fashions, children's toys, high-tech gadgets, packaging, public transportation, public restrooms, neighborhood layouts, classrooms, workplaces, hospitals, and more. In an increasingly diverse populace where many body types, age groups, and cultures interact, she argues that it's time our environments caught up.


Via Complexity Digest
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Rescooped by june holley from Papers
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Efficient Integration in Multi-Community Networks

We study structures for efficient integration of multi-community networks where building bridges across communities incur an additional link cost compared to links within a community. Building on the connections models with direct link cost and direct and indirect benefits, we show that the efficient structure for homogeneous cost and benefit parameters, and for communities of arbitrary size, always has a diameter no greater than 3. We further show that if the internal cost is not small enough to justify a full graph for each community, integration always follows one of these two structures: Either a single star, or a new structure we introduce in this paper, called parallel-hyperstar, which is a special multi-core/periphery structure with parallel links among core nodes of different communities. We offer cost and benefit conditions where each structure is efficient and discuss the stability conditions of those structures.


Via Complexity Digest
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#BuildingMovements: Scaling Our Work Beyond Trump

#BuildingMovements: Scaling Our Work Beyond Trump | networks and network weaving | Scoop.it
Eventbrite - Movement Netlab presents #BuildingMovements: Scaling Our Work Beyond Trump - Sunday, July 16, 2017 at Brooklyn Community Foundation, Brooklyn, NY. Find event and ticket information.
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Creating Breakout Innovation (SSIR)

Creating Breakout Innovation (SSIR) | networks and network weaving | Scoop.it

Nonprofits, community groups, and philanthropists are embracing cocreation as a way to engage a wider community in tackling pressing problems.

 

Interesting article!

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How to Manage Archetypal Network Tensions - An Interview

How to Manage Archetypal Network Tensions - An Interview | networks and network weaving | Scoop.it
An interview with Santa Cruz Mountains Stewardship Network Manager Dylan Skybrook. First-hand challenges & joys of network leadership.
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A generalized model of social and biological contagion

We present a model of contagion that unifies and generalizes existing models of the spread of social influences and micro-organismal infections. Our model incorporates individual memory of exposure to a contagious entity (e.g., a rumor or disease), variable magnitudes of exposure (dose sizes), and heterogeneity in the susceptibility of individuals. Through analysis and simulation, we examine in detail the case where individuals may recover from an infection and then immediately become susceptible again (analogous to the so-called SIS model). We identify three basic classes of contagion models which we call \textit{epidemic threshold}, \textit{vanishing critical mass}, and \textit{critical mass} classes, where each class of models corresponds to different strategies for prevention or facilitation. We find that the conditions for a particular contagion model to belong to one of the these three classes depend only on memory length and the probabilities of being infected by one and two exposures respectively. These parameters are in principle measurable for real contagious influences or entities, thus yielding empirical implications for our model. We also study the case where individuals attain permanent immunity once recovered, finding that epidemics inevitably die out but may be surprisingly persistent when individuals possess memory.

 

A generalized model of social and biological contagion
Peter Sheridan Dodds, Duncan J. Watts


Via Complexity Digest
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Spreading Connections in the Network Sandbox

Spreading Connections in the Network Sandbox | networks and network weaving | Scoop.it
  I recently received an email from the NorthSky Nonprofit Network about a practice group they have called the “Network Sandbox.” They introduce a tool (for “Tuesday Tool Tim…
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Bonnie Koenig's curator insight, June 5, 5:27 PM
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Social Mindset: A Key to Engaging Talent

Social Mindset: A Key to Engaging Talent | networks and network weaving | Scoop.it
It is more than obvious now that the way people feel about their workplace has direct material impact on performance of the business. This simple equation gets even more complex when we think of forces that are fundamentally changing how we work. Our workplace conversations today are dominated by
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