***** To join INSNA, visit http://www.insna.org *****
Spring finally here in Toronto. Saw my first YA in shorts. Yet only 10
degrees out (that's 50 for the Americans).
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 INSNA Founder
Distinguished Visiting Scholar Social Media Lab Ryerson University
Distinguished Senior Advisor University Learning Academy
NETWORKED: The New Social Operating System Lee Rainie & Barry Wellman
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---------- Forwarded message ----------
Date: Mon, 23 Apr 2018 11:02:48 +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-3D8b04ce1e2d-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=Us89u2A9DHDt_Ucez-AVQJ5PUEWoN3klkKq3AUfV5-I&e=
Methods for quantifying effects of social unrest using credit card transaction data
Societal unrest and similar events are important for societies, but it
is often difficult to quantify their effects on individuals, hindering a
timely and effective policy-making in emergencies and in particular
localized social shocks such as protests. Traditionally, effects are
assessed through economic indicators or surveys with relatively low
temporal and spatial resolutions. In this work, we compute two behavioral
indexes, based on the use of credit card transaction data, for measuring
the economic effects of a series of protests on consumer actions and
personal consumption. Using data from a metropolitan area in an OECD
country, we show that protests affect consumers˙˙ shopping frequency and
spending, but in noticeably different ways. The effects show strong
temporal and spatial patterns, vary between neighborhoods and customers of
different socio-demographical characteristics as well as between merchants
of different categories, and suggest interesting subtleties in purchase
behavior such as displaced or delayed shopping activities. Our method can
generally serve for the real-time monitoring of the effects of major
social shocks or events on urban economy and consumer sentiment, providing
high-resolution and cost-effective measurement tools to complement
traditional economic indicators.
Methods for quantifying effects of social unrest using credit card transaction data
Xiaowen Dong, Joachim Meyer, Erez Shmueli, Burçin Bozkaya and Alex Pentland
EPJ Data Science20187:8
https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D43af0cc113-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=ge40OxqC3iwjgzJfo8y92BdSaolRG5WnWjtPFDOVmhE&e=
Source: epjdatascience.springeropen.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D54186a4997-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=YljR38m5v9AeEDkaAt189M3s7dykU7pNaJhPsuw_s4M&e=)
Population Structure Promotes the Evolution of Intuitive Cooperation and Inhibits Deliberation
https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Ddedaf2a6f5-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=pNsVK4fr_kCzbH92UXY5uADA0rvgWJwsfj4hGkRKurQ&e=
Spatial structure is one of the most studied mechanisms in evolutionary
game theory. Here, we explore the consequences of spatial structure for a
question which has received considerable empirical and theoretical
attention in recent years, but has not yet been studied from a network
perspective: whether cooperation relies on intuitive predispositions or
deliberative self-control. We examine this question using a model which
integrates the ˙˙dual-process˙˙ framework from cognitive science with
evolutionary game theory, and considers the evolution of agents who are
embedded within a social network and only interact with their neighbors.
In line with past work in well-mixed populations, we find that selection
favors either the intuitive defector strategy which never deliberates, or
the dual-process cooperator strategy which intuitively cooperates but uses
deliberation to switch to defection when doing so is payoff-maximizing. We
find that sparser networks (i.e., smaller average degree) facilitate the
success of dual-process cooperators over intuitive defectors, while also
reducing the level of deliberation that dual-process cooperators engage
in; and that these results generalize across different kinds of networks.
These observations demonstrate the important role that spatial structure
can have not just on the evolution of cooperation, but on the co-evolution
of cooperation and cognition.
Population Structure Promotes the Evolution of Intuitive Cooperation and Inhibits Deliberation
Mohsen Mosleh & David G. Rand
Scientific Reports
volume 8, Article number: 6293 (2018)
doi:10.1038/s41598-018-24473-1
Source: www.nature.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D36991f4937-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=XHoBEzqcDf-92-GT83Pf-uQF2B7vlBn455ughJ7A7RY&e=)
The Role of Criticality of Gene Regulatory Networks on Emergent Properties of Biological Systems
https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D56252711a0-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=3m68OaaymVGwxYs8qc-EiqNkOdw6HB69pdDl21aYZes&e=
Center for Collective Dynamics of Complex Systems (CoCo) Seminar Series April 18, 2018 Hyobin Kim (Systems Science, Binghamton University) "The Role of Criticality˙˙
Source: vimeo.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D03386a59e8-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=k2DTE3tF179FHBYn5SLb5HWvr-3M2TlM7Dwi7028iRw&e=)
Synergy from reproductive division of labor and genetic complexity drive the evolution of sex
Computer experiments that mirror the evolutionary dynamics of sexual
and asexual organisms as they occur in nature were used to test features
proposed to explain the evolution of sexual recombination. Results show
that this evolution is better described as a network of interactions
between possible sexual forms, including diploidy, thelytoky, facultative
sex, assortation, bisexuality, and division of labor between the sexes,
rather than a simple transition from parthenogenesis to sexual
recombination. Diploidy was shown to be fundamental for the evolution of
sex; bisexual reproduction emerged only among anisogamic diploids with a
synergistic division of reproductive labor; and facultative sex was more
likely to evolve among haploids practicing assortative mating. Looking at
the evolution of sex as a complex system through individual-based
simulations explains better the diversity of sexual strategies known to
exist in nature, compared to classical analytical models.
Synergy from reproductive division of labor and genetic complexity drive the evolution of sex
Klaus Jaffe
Journal of Biological Physics
Source: link.springer.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D31483d9d7c-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=9y1eagNZvvIdQ2nw6XyciZB9KbJyFj3QiLldXSQ989s&e=)
Resisting Influence: How the Strength of Predispositions to Resist Control Can Change Strategies for Optimal Opinion Control in the Voter Model
https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3De505e70163-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=e_HS6JghHijH38pR8a3cE5VHoWv3pOy3oweNIYazcKM&e=
In this paper, we investigate influence maximization, or optimal opinion control, in a modified version of the two-state voter dynamics in which a native state and a controlled or influenced state are accounted for. We include agent predispositions to resist influence in the form of a probability q with which agents spontaneously switch back to the native state when in the controlled state. We argue that in contrast to the original voter model, optimal control in this setting depends on q: For low strength of predispositions q, optimal control should focus on hub nodes, but for large q, optimal control can be achieved by focusing on the lowest degree nodes. We investigate this transition between hub and low-degree node control for heterogeneous undirected networks and give analytical and numerical arguments for the existence of two control regimes.
Resisting Influence: How the Strength of Predispositions to Resist Control Can Change Strategies for Optimal Opinion Control in the Voter Model
Markus Brede, Valerio Restocchi and Sebastian Stein
Front. Robot. AI, 17 April 2018 | https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D22bf382f9f-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=EHq2bXzRCLq6tFl9XIJtqrVNRHTdKnZO6tVlkS2io-k&e=
Source: www.frontiersin.org (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Dfcf0c4ed63-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=DX8-W1ydV5WODgYsYtd8lVpxC5biJlt0iI7gLNyW0aQ&e=)
Financial networks and stress testing: Challenges and new research avenues for systemic risk analysis and financial stability implications
Network models, stress testing methods and early warning systems are attracting growing interest both among scholars and practitioners. In this short paper, we illustrate some of the insights they have to offer both in terms of new fundamental scientific understanding of the emergence systemic risk and in terms of concrete applications to the policy areas of financial stability and macro-prudential policy. Finally, we discuss new research pathways to address the challenging questions still open, including multiplex networks, big financial data, and climate-finance.
Financial networks and stress testing: Challenges and new research avenues for systemic risk analysis and financial stability implications
Stefano Battiston, Serafin Martinez-Jaramillo
Journal of Financial Stability
Volume 35, April 2018, Pages 6-16
Source: www.sciencedirect.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D7b4ab5582c-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=nx1V-CiLYz43k2v5abtfngRXZ3E93fj_nbL8UU3Psfk&e=)
See Also: Special Issue: Network models, stress testing and other tools for financial stability monitoring and acroprudential policy design and implementation (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D3cd5aec404-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=FnX4Tj5ue19KCobINsnN4awru-wmT1HhosGGjDkukTE&s=EtrsaHI-hpazjEjugEnAamY6WHvrr6pDAxMXc8VFaRo&e=)
Edited by Dr Serafín Martínez Jaramillo, Dr.Stefano Battiston
Volume 35, Pages 1-242 (April 2018)
==============================================
Sponsored by the Complex Systems Society.
Founding Editor: Gottfried Mayer.
Editor-in-Chief: Carlos Gershenson.
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