***** To join INSNA, visit http://www.insna.org *****
selected by me-not the full set on email
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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Date: Mon, 28 Nov 2016 12:04:27 +0000
From: "[utf-8] Complexity Digest" <[log in to unmask]>
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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-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=438712a6cd&e=55e25a0e3e
The many facets of community detection in complex networks
Community detection, the decomposition of a graph into meaningful building blocks, has been a core research topic in network science over the past years. Since a precise notion of what constitutes a community has remained evasive, community detection algorithms have often been compared on benchmark graphs with a particular form of community structure, and classified based on the mathematical techniques they employ. However, this can be misleading because apparent similarities in their mathematical machinery can disguise entirely different objectives. Here we provide a focused review of the different motivations that underpin community detection. This problem-driven classification is useful in applied network science, where it is important to select an appropriate algorithm for the given purpose. Moreover, highlighting the different facets of community detection also delineates the many lines of research, and points out open directions and avenues for future research.
The many facets of community detection in complex networks
Michael T. Schaub, Jean-Charles Delvenne, Martin Rosvall, Renaud Lambiotte
Source: arxiv.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=070b3fce6e&e=55e25a0e3e)
Untangling the role of diverse social dimensions in the diffusion of microfinance
Ties between individuals on a social network 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 and Alex Arenas
Applied Network Science20161:14
DOI: 10.1007/s41109-016-0016-x
Source: appliednetsci.springeropen.com (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=b7b9d0a98a&e=55e25a0e3e)
The impact of anticipation in dynamical systems
The flocking of animals is often modelled as a dynamical system, in
which individuals are represented as particles whose interactions are
determined by the current state of the system. Many animals, however,
including humans, have predictive capabilities, and presumably base their
behavioural decisions---at least partially---upon an anticipated state of
their environment. We explore a minimal version of this idea in the
context of particles that interact according to a pairwise potential.
Anticipation enters the picture by calculating the interparticle forces
from linear extrapolation of the positions some time ÿÿ into the future.
Our analysis shows that for intermediate values of ÿÿ the particles
rapidly form milling structures, induced by velocity alignment that
emerges from the prediction. We also show that for ÿÿ>0, any dynamical
system governed by an even potential becomes dissipative. These results
suggest that anticipation could play an important role in collective
behaviour, since it induces pattern formation and stabilises the dynamics
of the system.
The impact of anticipation in dynamical systems
P. Gerlee, K. Tunstrøm, T. Lundh, B. Wennberg
Source: arxiv.org (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=26b0929144&e=55e25a0e3e)
Collective navigation of complex networks: Participatory greedy routing
Many networks are used to transfer information or goods, in other
words, they are navigated. The larger the network, the more difficult it
is to navigate efficiently. Indeed, information routing in the Internet
faces serious scalability problems due to its rapid growth, recently
accelerated by the rise of the Internet of Things. Large networks like the
Internet can be navigated efficiently if nodes, or agents, actively
forward information based on hidden maps underlying these systems.
However, in reality most agents will deny to forward messages, which has a
cost, and navigation is impossible. Can we design appropriate incentives
that lead to participation and global navigability? Here, we present an
evolutionary game where agents share the value generated by successful
delivery of information or goods. We show that global navigability can
emerge, but its complete breakdown is possible as well. Furthermore, we
show that the system tends to self-organize into local clusters of agents
who participate in the navigation. This organizational principle can be
exploited to favor the emergence of global navigability in the system.
Collective navigation of complex networks: Participatory greedy routing
Kaj-Kolja Kleineberg, Dirk Helbing
Source: arxiv.org (http://unam.us4.list-manage2.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=79627bb042&e=55e25a0e3e)
LANET 2017 ÿÿ Latin American Conference on Complex Networks 2017
September 25-29, 2017, Puebla, Mexico
The aim of LANET is to provide with a forum to join all scientists who are somehow related to the research on Network Science in Latin America.
The rapid growth of the field of Network Science in the last two decades has manifested in the form of schools, workshops and conferences in Latin America. However, the creation of LANET as a stable and periodic forum devoted to Network Science will further spur the formation of research groups interested in the field and help to establish it as a discipline across Latin American Universities and Research Institutions.
Source: www.lanetconference.org (http://unam.us4.list-manage2.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=98390d9a3c&e=55e25a0e3e)
A Data Driven Network Approach to Rank Countries Production Diversity and Food Specialization
By Chengyi Tu, Joel Carr & Samir Suweis
The easy access to large data sets has allowed for leveraging methodology in network physics and complexity science to disentangle patterns and processes directly from the data, leading to key insights in the behavior of systems. Here we use country specific food production data to study binary and weighted topological properties of the bipartite country-food production matrix. This country-food production matrix can be: 1) transformed into overlap matrices which embed information regarding shared production of products among countries, and or shared countries for individual products, 2) identify subsets of countries which produce similar commodities or subsets of commodities shared by a given country allowing for visualization of correlations in large networks, and 3) used to rank country fitness (the ability to produce a diverse array of products weighted on the type of food commodities) and food specialization (quantified on the number of countries producing a specific
food product weighted on their fitness). Our results show that, on average, countries with high fitness produce both low and high specializion food commodities, whereas nations with low fitness tend to produce a small basket of diverse food products, typically comprised of low specializion food commodities.
Source: journals.plos.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=59945c665d&e=55e25a0e3e)
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