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SOCNET  November 2018

SOCNET November 2018

Subject:

selected Latest Complexity Digest Posts (fwd)

From:

Barry Wellman <[log in to unmask]>

Reply-To:

Barry Wellman <[log in to unmask]>

Date:

Mon, 12 Nov 2018 09:05:58 -0500

Content-Type:

MULTIPART/MIXED

Parts/Attachments:

Parts/Attachments

TEXT/PLAIN (195 lines)

*****  To join INSNA, visit http://www.insna.org  *****

Remembering my father-in-law and others who fought to stop Hitler and 
Nazism. Now we work at the ballot box to continue the struggle.
Selections 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
  _______________________________________________________________________
   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=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=uOEL8z2pRC0XahcJctMVLNSTHrJbO5Kp3fw2E8nJpv0&e=            https://urldefense.proofpoint.com/v2/url?u=http-3A__amzn.to_zXZg39&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=TnKwHH4j4RPvoWnBdgiO-GU0ZGrqPwuwQETibSD4Meg&e=
              https://urldefense.proofpoint.com/v2/url?u=https-3A__en.wikipedia.org_wiki_Barry-5FWellman&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=LyuzHyq-zIQ2IRcvq2pySezpQxO9vD_a6qmGrMn8I94&e=
   _______________________________________________________________________


---------- Forwarded message ----------
Date: Mon, 12 Nov 2018 12:05:18 +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-3D67d41ee591-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=X6OIEI8KszShs5TW1nJWCXwAYcP5CPxqmpAPIjibgYg&e=


Urban Swarms: A new approach for autonomous waste management

    Modern cities are growing ecosystems that face new challenges due to 
the increasing population demands. One of the many problems they face 
nowadays is waste management, which has become a pressing issue requiring 
new solutions. Swarm robotics systems have been attracting an increasing 
amount of attention in the past years and they are expected to become one 
of the main driving factors for innovation in the field of robotics. The 
research presented in this paper explores the feasibility of a swarm 
robotics system in an urban environment. By using bio-inspired foraging 
methods such as multi-place foraging and stigmergy-based navigation, a 
swarm of robots is able to improve the efficiency and autonomy of the 
urban waste management system in a realistic scenario. To achieve this, a 
diverse set of simulation experiments was conducted using real-world GIS 
data and implementing different garbage collection scenarios driven by 
robot swarms. Results presented in this research show that the proposed 
system outperforms current approaches. Moreover, results not only show the 
efficiency of our solution, but also give insights about how to design and 
customize these systems.


Urban Swarms: A new approach for autonomous waste management
Antonio Luca Alfeo, Eduardo Castelló Ferrer, Yago Lizarribar Carrillo, Arnaud Grignard, Luis Alonso Pastor, Dylan T. Sleeper, Mario G. C. A. Cimino, Bruno Lepri, Gigliola Vaglini, Kent Larson, Marco Dorigo, Alex `Sandy' Pentland

Source: arxiv.org (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Dd7cf960c82-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=OMnQu6II8iF0k6zUL1Dau8Bp0Nk4KNJ83Hl7ntBQYDE&e=)



Quantifying reputation and success in art

    In areas of human activity where performance is difficult to quantify 
in an objective fashion, reputation and networks of influence play a key 
role in determining access to resources and rewards. To understand the 
role of these factors, we reconstructed the exhibition history of half a 
million artists, mapping out the coexhibition network that captures the 
movement of art between institutions. Centrality within this network 
captured institutional prestige, allowing us to explore the career 
trajectory of individual artists in terms of access to coveted 
institutions. Early access to prestigious central institutions offered 
life-long access to high-prestige venues and reduced dropout rate. By 
contrast, starting at the network periphery resulted in a high dropout 
rate, limiting access to central institutions. A Markov model predicts the 
career trajectory of individual artists and documents the strong path and 
history dependence of valuation in art.


Quantifying reputation and success in art
Samuel P. Fraiberger, Roberta Sinatra, Magnus Resch, Christoph Riedl, Albert-László Barabási
Science  08 Nov 2018:

DOI: 10.1126/science.aau7224

Source: science.sciencemag.org (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D6bfd516be6-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=-Vctu3weJeL4uq9wxiWWrjPXvYKgCnWwOuAksqBXP1g&e=)



How algorithmic popularity bias hinders or promotes quality

    https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D72d81c0e76-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=suiP9u9CBuP5eU5t2MveG_FAIFQh24zn5bY1Wg2JvFk&e=

Algorithms that favor popular items are used to help us select among many choices, from top-ranked search engine results to highly-cited scientific papers. The goal of these algorithms is to identify high-quality items such as reliable news, credible information sources, and important discoveries˙˙in short, high-quality content should rank at the top. Prior work has shown that choosing what is popular may amplify random fluctuations and lead to sub-optimal rankings. Nonetheless, it is often assumed that recommending what is popular will help high-quality content ˙˙bubble up˙˙ in practice. Here we identify the conditions in which popularity may be a viable proxy for quality content by studying a simple model of a cultural market endowed with an intrinsic notion of quality. A parameter representing the cognitive cost of exploration controls the trade-off between quality and popularity. Below and above a critical exploration cost, popularity bias is more likely to hinder quality.
But we find a narrow intermediate regime of user attention where an optimal balance exists: choosing what is popular can help promote high-quality items to the top. These findings clarify the effects of algorithmic popularity bias on quality outcomes, and may inform the design of more principled mechanisms for techno-social cultural markets.


How algorithmic popularity bias hinders or promotes quality
Giovanni Luca Ciampaglia, Azadeh Nematzadeh, Filippo Menczer & Alessandro Flammini
Scientific Reports volume 8, Article number: 15951 (2018)

Source: www.nature.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Def04ffe3c2-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=rqCT9cMTF2QSOcT2oZOSp6TM6GxIGCRM6IrKJcjlx0Y&e=)



The Network Science of Success

    https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Daf5ab0e327-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=SiTPY8Ry6KVZOZsrTvBlGX--pb364KJiloUofMHiAoc&e=

In this episode, Haley talks with Albert-László Barabási. Barabasi is the Robert Gray Dodge Professor of Network Science and a Distinguished University Professor at Northeastern University, where he directs the Center for Complex Network Research. He is also a renowned author of several books including his newly released book, The Formula: The Universal Laws of Success, which he discusses in-depth during his interview. Barabási shares key takeaways and important lessons from his new book and research on the science of success. He also gives us insights from his journey of learning about and pioneering the young field of network science and shares his hopes for the future of this field.

Source: www.human-current.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D88fde15e75-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=TSNUXu6a21wsAQu7CLgK_uvbbw3y5c-PyruzDRpcI-c&e=)



Scale-free Networks Well Done

    We bring rigor to the vibrant activity of detecting power laws in empirical degree distributions in real-world networks. We first provide a rigorous definition of power-law distributions, equivalent to the definition of regularly varying distributions in statistics. This definition allows the distribution to deviate from a pure power law arbitrarily but without affecting the power-law tail exponent. We then identify three estimators of these exponents that are proven to be statistically consistent -- that is, converging to the true exponent value for any regularly varying distribution -- and that satisfy some additional niceness requirements. Finally, we apply these estimators to a representative collection of synthetic and real-world data. According to their estimates, real-world scale-free networks are definitely not as rare as one would conclude based on the popular but unrealistic assumption that real-world data comes from power laws of pristine purity, void of noise and
deviations.


Scale-free Networks Well Done
Ivan Voitalov, Pim van der Hoorn, Remco van der Hofstad, Dmitri Krioukov

Source: arxiv.org (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Da5b91c12bd-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=1a15bhCs0EN2KD2sC5vJc4sd27kzSSQ8yyQxMrCLvag&e=)


Digital Transformation & Global Society DTGS 2019

    https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Ddac43f2f72-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=lOLwD_xyxYMpvC_ow7HHDs4AS__B-EO5I_ay84C1Jvk&e=

DTGS is an emerging international academic forum for the interdisciplinary Internet Studies field. The mission of the conference is to provide a collaborative platform for researchers and experts to discuss the transformative impact of digital technologies on the way we communicate, work and live.

The event is jointly organized by the ITMO University and the National Research University Higher School of Economics (St. Petersburg Campus), both being the leading universities, globally known for their research in information technologies, communication and social sciences.


4TH INTERNATIONAL CONFERENCE
Digital Transformation & Global Society (DTGS 2019)

JUNE 19-21, St. Petersburg, Russia

Source: dtgs-conference.org (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Dfd289be0af-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=sjPR21E09GCE53l6DKX68sUVxXJKMmTjsU6vdk0q6gw&e=)



Communication in Online Social Networks Fosters Cultural Isolation

    Online social networks play an increasingly important role in communication between friends, colleagues, business partners, and family members. This development sparked public and scholarly debate about how these new platforms affect dynamics of cultural diversity. Formal models of cultural dissemination are powerful tools to study dynamics of cultural diversity but they are based on assumptions that represent traditional dyadic, face-to-face communication, rather than communication in online social networks. Unlike in models of face-to-face communication, where actors update their cultural traits after being influenced by one of their network contacts, communication in online social networks is often characterized by a one-to-many structure, in that users emit messages directly to a large number of network contacts. Using analytical tools and agent-based simulation, we show that this seemingly subtle difference can have profound implications for emergent dynamics of
cultural dissemination. In particular, we show that within the framework of our model online communication fosters cultural diversity to a larger degree than offline communication and it increases chances that individuals and subgroups become culturally isolated from their network contacts.


Communication in Online Social Networks Fosters Cultural Isolation
Marijn A. Keijzer, Michael Mäs, and Andreas Flache

Complexity
Volume 2018, Article ID 9502872, 18 pages
https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D544ebf0995-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=JnFXAUQ1g21KZORp2TSMDHk5ZZnLqxbxnQBsfH5MZ10&e=

Source: www.hindawi.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D1c9c8c5f35-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=XRr2PcexejDgLOzqO2iTYByC67W7f_K8_WvgtVP-FNc&e=)



Negative Representation and Instability in Democratic Elections

    https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D77165069df-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=J-805Dbjkn2D7IBZBn5ITaFhAxRQkUCPj_0v0IKn4_M&e=

Motivated by the troubling rise of political extremism and instability throughout the democratic world, we present a novel mathematical characterization of the nature of political representation in democratic elections. We define the concepts of negative representation, in which a shift in electorate opinions produces a shift in the election outcome in the opposite direction, and electoral instability, in which an arbitrarily small change in opinion causes a large change in election outcome. Under very general conditions, we prove that unstable elections necessarily contain negatively represented opinions. Furthermore, increasing polarization of the electorate can drive elections through a transition from a stable to an unstable regime, analogous to the phase transition by which some materials become ferromagnetic below their critical temperatures. In this unstable regime, a large fraction of political opinions are negatively represented. Empirical data suggest that United
States presidential elections underwent such a phase transition in the 1970s and have since become increasingly unstable.


Alexander Siegenfeld, Yaneer Bar-Yam, Negative representation and instability in democratic elections, arXiv:1810.11489 (October 29, 2018).

Source: www.necsi.edu (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D06a2f053f1-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=8yj20UAOP3sqr2WYx2fLTca4Hzi9xtDeEz27_IfVLJg&e=)

See also video: https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D3689921e12-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=hEnOdBmh3EQnC46cgytgdJmMWTKhn2pDP1gMsUCp0Ps&e=


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

You can contribute to Complexity Digest selecting one of our topics (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D3fd97945b2-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=bcVNJNZenox7QR4rtSieMzsYNNuuoZ8ocCoUBSw_Abs&s=VTVRj9kW1ZUu_cLWREyop6jLesKiHfV3khGB9qU7Io4&e= ) and using the "Suggest" button.
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