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SOCNET  September 2018

SOCNET September 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, 10 Sep 2018 09:41:59 -0400

Content-Type:

MULTIPART/MIXED

Parts/Attachments:

Parts/Attachments

TEXT/PLAIN (124 lines)

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

Happy New Year. I had a dream about Lin Freeman last night

   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
   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=-IjMYUW_DY-m2p3KIMO7OCxhrTd6wOkAZGo4o8HcKvY&s=ndKfus0evbnyB0mjW2z7qYfTIl6YyZpZzOudc3nPIxI&e=            https://urldefense.proofpoint.com/v2/url?u=http-3A__amzn.to_zXZg39&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=-IjMYUW_DY-m2p3KIMO7OCxhrTd6wOkAZGo4o8HcKvY&s=29gCrQQC9gqOzqefsj0W_Dwd0AVH4QnS3SmZ7jkIH3w&e=
              https://urldefense.proofpoint.com/v2/url?u=https-3A__en.wikipedia.org_wiki_Barry-5FWellman&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=-IjMYUW_DY-m2p3KIMO7OCxhrTd6wOkAZGo4o8HcKvY&s=fLdNVeBIRrsJLFvcH64NKF0fCnGtqc54KZkGcYlTVBs&e=
   _______________________________________________________________________


---------- Forwarded message ----------
Date: Mon, 10 Sep 2018 11:04:40 +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-3D3afc566061-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=-IjMYUW_DY-m2p3KIMO7OCxhrTd6wOkAZGo4o8HcKvY&s=UkrSPVBiLJswAd2d7m0xMM6wKajth9oB-8SUSF8ycFU&e=


Centrality-Friendship Paradoxes: When Our Friends Are More Important Than Us

    The friendship paradox states that, on average, our friends have more friends than we do. In network terms, the average degree over the nodes can never exceed the average degree over the neighbours of nodes. This effect, which is a classic example of sampling bias, has attracted much attention in the social science and network science literature, with variations and extensions of the paradox being defined, tested and interpreted. Here, we show that a version of the paradox holds rigorously for eigenvector centrality: on average, our friends are more important than us. We then consider general matrix-function centrality, including Katz centrality, and give sufficient conditions for the paradox to hold. We also discuss which results can be generalized to the cases of directed and weighted edges. In this way, we add theoretical support for a field that has largely been evolving through empirical testing.


Centrality-Friendship Paradoxes: When Our Friends Are More Important Than Us
Desmond J. Higham

Source: arxiv.org (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Ded24339a24-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=-IjMYUW_DY-m2p3KIMO7OCxhrTd6wOkAZGo4o8HcKvY&s=UWQ6MamcumSn6ioiK8stFzR8v53DTnargJJdCCUFgN0&e=)



Social interactions shape individual and collective personality in social spiders

    The behavioural composition of a group and the dynamics of social 
interactions can both influence how social animals work collectively. For 
example, individuals exhibiting certain behavioural tendencies may have a 
disproportionately large impact on the group, and so are referred to as 
keystone individuals, while interactions between individuals can 
facilitate information transmission about resources. Despite the potential 
impact of both behavioural composition and interactions on collective 
behaviour, the relationship between consistent behaviours (also known as 
personalities) and social interactions remains poorly understood. Here, we 
use stochastic actor-oriented models to uncover the interdependencies 
between boldness and social interactions in the social spider Stegodyphus 
dumicola. We find that boldness has no effect on the likelihood of forming 
social interactions, but interactions do affect boldness, and lead to an 
increase in the boldness of the shyer individual. Furthermore, spiders 
tend to interact with the same individuals as their neighbours. In 
general, boldness decreases over time, but once an individual's boldness 
begins to increase, this increase accelerates, suggesting a positive 
feedback mechanism. These dynamics of interactions and boldness result in 
skewed boldness distributions of a few bold individuals and many shy 
individuals, as observed in nature. This group behavioural composition 
facilitates efficient collective behaviours, such as rapid collective prey 
attack. Thus, by examining the relationship between behaviour and 
interactions, we reveal the mechanisms that underlie the emergence of 
adaptive group composition and collective behaviour.


Social interactions shape individual and collective personality in social spiders
Edmund R. Hunt, Brian Mi, Camila Fernandez, Brandyn M. Wong, Jonathan N. Pruitt, Noa Pinter-Wollman

Proc. Roy. Soc. B
Published 5 September 2018.DOI: 10.1098/rspb.2018.1366

Source: rspb.royalsocietypublishing.org (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Dbc2f063ad2-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=-IjMYUW_DY-m2p3KIMO7OCxhrTd6wOkAZGo4o8HcKvY&s=ntW5gX6hq74xy_DE9HPcmVeb2--FYJ1M7qKdlNox0nY&e=)



Swarm Robotics  Pushing the state of the art

    https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D99f4c25395-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=-IjMYUW_DY-m2p3KIMO7OCxhrTd6wOkAZGo4o8HcKvY&s=Vk4xrHtHyykzJ_X__gOE9ICWXcmuEdPP7KituGNIGO0&e=

Swarm robotics is the domain of robotics that deals with large groups of robots that coordinately and cooperatively accomplish a task.
Inspired by natural self-organising systems like ant colonies, fish schools or bird flocks, the goal of swarm robotics research is to deploy complex robotics systems that present robustness to faults, scalability to different group sizes, flexibility of the displayed behaviour and adaptivity to environmental changes.
The problems faced by swarm robotics concerns mainly the analysis of complex systems formed by a multitude of interacting units, the design of individual level rules leading to desired collective behaviours, and the application of the lessons learned in lab research to real-world domains. The workshop will discuss cutting-edge research in all these directions thanks to a great assembly of invited speakers, and will represent a unique place where to trace the future of this research field beyond the state of the art.


Swarm Robotics - Pushing the State of the Art
October 25-26 2018
Rome, Italy

Source: laral.istc.cnr.it (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D4577c8b6c6-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=-IjMYUW_DY-m2p3KIMO7OCxhrTd6wOkAZGo4o8HcKvY&s=8hT2ptojv_v_wHCreYxvpzOFofXnMRh_7PIrJMrqRzs&e=)



Entropy | Special Issue : Information Theory in Complex Systems

    Complex systems are ubiquitous in the natural and engineered worlds. Examples are self-assembling materials, the Earth's climate, single- and multi-cellular organisms, the brain, and coupled socio-economic and socio-technical systems, to mention a few canonical examples. The use of Shannon information theory to study the behavior of such systems, and to explain and predict their dynamics, has gained significant attention, both from a theoretical and from an experimental viewpoint. There have been many advances in applying Shannon theory to complex systems, including correlation analyses for spatial and temporal data and construction and clustering techniques for complex networks. Progress has often been driven by the application areas, such as genetics, neurosciences, and the Earth sciences.

The application of Shannon theory to data of real-world complex systems are often hindered by the frequent lack of stationarity and sufficient statistics. Further progress on this front call for new statistical techniques based on Shannon information theory, for the sophistication of known techniques, as well as for an improved understanding of the meaning of entropy in complex systems. Contributions addressing any of these issues are very welcome.

This Special Issue aims to be a forum for the presentation of new and improved techniques of information theory for complex systems. In particular, the analysis and interpretation of real-world natural and engineered complex systems with the help of statistical tools based on Shannon information theory fall within the scope of this Special Issue.

Source: www.mdpi.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D409f96adf0-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=-IjMYUW_DY-m2p3KIMO7OCxhrTd6wOkAZGo4o8HcKvY&s=G8KtElFMmGAIhHYpODwpT9ryl0koHd0AlNnwAzNAMA4&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-3D5b47781c5f-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=-IjMYUW_DY-m2p3KIMO7OCxhrTd6wOkAZGo4o8HcKvY&s=O9g4Pqx9i7BoB3mTQwrdqPpS--P827pJro2vY9z-iak&e= ) and using the "Suggest" button.
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