***** To join INSNA, visit http://www.insna.org *****
Barry Wellman
A vision is just a vision if it's only in your head
Step by step, link by link, putting it together
Streisand/Sondheim
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NetLab Network FRSC INSNA Founder
http://www.chass.utoronto.ca/~wellman twitter: @barrywellman
NETWORKED: The New Social Operating System Lee Rainie & Barry Wellman
http://amzn.to/zXZg39
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---------- Forwarded message ----------
Date: Mon, 12 Sep 2016 11:04:16 +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 http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=e90e8aae16&e=55e25a0e3e
Fundamental structures of dynamic social networks
We study the dynamic network of real world person-to-person
interactions between approximately 1,000 individuals with 5-min resolution
across several months. There is currently no coherent theoretical
framework for summarizing the tens of thousands of interactions per day in
this complex network, but here we show that at the right temporal
resolution, social groups can be identified directly. We outline and
validate a framework that enables us to study the statistical properties
of individual social events as well as series of meetings across weeks and
months. Representing the dynamic network as sequences of such meetings
reduces the complexity of the system dramatically. We illustrate the
usefulness of the framework by investigating the predictability of human
social activity.
Fundamental structures of dynamic social networks
Vedran Sekara, Arkadiusz Stopczynski, and Sune Lehmann
PNAS vol. 113 no. 36
Source: www.pnas.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=91366843f9&e=55e25a0e3e)
Symmetric States Requiring System Asymmetry
http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=c106505b3e&e=55e25a0e3e
Spontaneous synchronization has long served as a paradigm for behavioral
uniformity that can emerge from interactions in complex systems. When the
interacting entities are identical and their coupling patterns are also
identical, the complete synchronization of the entire network is the state
inheriting the system symmetry. As in other systems subject to symmetry
breaking, such symmetric states are not always stable. Here, we report on
the discovery of the converse of symmetry breaking’’the scenario in which
complete synchronization is not stable for identically coupled identical
oscillators but becomes stable when, and only when, the oscillator
parameters are judiciously tuned to nonidentical values, thereby breaking
the system symmetry to preserve the state symmetry. Aside from
demonstrating that diversity can facilitate and even be required for
uniformity and consensus, this suggests a mechanism for convergent forms
of pattern formation in which initially asymmetric patterns evolve into
symmetric ones.
Symmetric States Requiring System Asymmetry
Takashi Nishikawa and Adilson E. Motter
Phys. Rev. Lett. 117, 114101
Source: journals.aps.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=9bc832f7b6&e=55e25a0e3e)
See Also: Synopsis: Diversity Breeds Conformity (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=f34246d8c4&e=55e25a0e3e)
From Community Detection to Community Deception
The community deception problem is about how to hide a target community
C from community detection algorithms. The need for deception emerges
whenever a group of entities (e.g., activists, police enforcements) want
to cooperate while concealing their existence as a community. In this
paper we introduce and formalize the community deception problem. To solve
this problem, we describe algorithms that carefully rewire the connections
of C's members. We experimentally show how several existing community
detection algorithms can be deceived, and quantify the level of deception
by introducing a deception score. We believe that our study is intriguing
since, while showing how deception can be realized it raises awareness for
the design of novel detection algorithms robust to deception techniques.
From Community Detection to Community Deception
Valeria Fionda, Giuseppe Pirrņ
Source: arxiv.org (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=7fbef90d55&e=55e25a0e3e)
The C . elegans Connectome Consists of Homogenous Circuits with Defined Functional Roles
http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=23baa86561&e=55e25a0e3e
How can we understand the function of gigantic complex networks (e.g. the
brain) based on connectivity data alone? We use the available full
connectome of a nematode and apply new approaches to find that the neural
network is made of structurally homogeneous neural circuits. These sets of
neurons also appear in defined regions of the network where they may
provide valuable functional roles such as signal integration and
synchronization. Moreover, if we redraw the network considering these
homogeneous sets alone, we reveal a simplified network layout that is
intuitive to understand. As connectome data of higher brain systems are
soon to be released our novel approaches can be immediately applied to
studying these complex systems.
Azulay A, Itskovits E, Zaslaver A (2016) The C. elegans Connectome Consists of Homogenous Circuits with Defined Functional Roles. PLoS Comput Biol 12(9): e1005021. doi:10.1371/journal.pcbi.1005021
Source: journals.plos.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=6ac213b8aa&e=55e25a0e3e)
Untangling the role of diverse social dimensions in the diffusion of microfinance
Ties between individuals on a social networks can represent different
dimensions of interactions, and the spreading of information and
innovations on these networks could potentially be driven by some
dimensions more than by others. In this paper we investigate this issue by
studying the diffusion of microfinance within rural India villages and
accounting for the whole multilayer structure of the underlying social
networks. We define a new measure of node centrality, diffusion
versatility, and show that this is a better predictor of microfinance
participation rate than previously introduced measures defined on
aggregated single-layer social networks. Moreover, we untangle the role
played by each social dimension and find that the most prominent role is
played by the nodes that are central on layers concerned with trust,
shedding new light on the key triggers of the diffusion of microfinance.
Untangling the role of diverse social dimensions in the diffusion of microfinance
Elisa Omodei, Alex Arenas
Source: arxiv.org (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=ef2dbc1a9a&e=55e25a0e3e)
The Social Dynamics of Language Change in Online Networks
Language change is a complex social phenomenon, revealing pathways of
communication and sociocultural influence. But, while language change has
long been a topic of study in sociolinguistics, traditional linguistic
research methods rely on circumstantial evidence, estimating the direction
of change from differences between older and younger speakers. In this
paper, we use a data set of several million Twitter users to track
language changes in progress. First, we show that language change can be
viewed as a form of social influence: we observe complex contagion for
phonetic spellings and "netspeak" abbreviations (e.g., lol), but not for
older dialect markers from spoken language. Next, we test whether specific
types of social network connections are more influential than others,
using a parametric Hawkes process model. We find that tie strength plays
an important role: densely embedded social ties are significantly better
conduits of linguistic influence. Geographic locality appears to play a
more limited role: we find relatively little evidence to support the
hypothesis that individuals are more influenced by geographically local
social ties, even in their usage of geographical dialect markers.
The Social Dynamics of Language Change in Online Networks
Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna Wallach, Fernando Diaz, Jacob Eisenstein
Source: arxiv.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=e8f8d2a627&e=55e25a0e3e)
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Founding Editor: Gottfried Mayer.
Editor-in-Chief: Carlos Gershenson.
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