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   Barry Wellman
   FRSC		              NetLab Network              INSNA Founder
                      Faculty of Information (iSchool)
   University of Toronto                          Toronto Canada M5S 3G6          twitter: @barrywellman
   NETWORKED:The New Social Operating System. Lee Rainie & Barry Wellman
   MIT Press        Print $15  Kindle $9

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Date: Mon, 29 Sep 2014 20:26:45 +0100
From: Complexity Digest Administration <[log in to unmask]>
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Subject: [comdig] Latest Complexity Digest Posts

Learn about the latest and greatest related to complex systems research. More at

Complex Systems Society new website

The purpose of the Society is to promote the development of all aspects of complex systems science in the countries of Europe, as well as the whole international scientific community.

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An Information-Theoretic Formalism for Multiscale Structure in Complex Systems

    We develop a general formalism for representing and understanding structure in complex systems. In our view, structure is the totality of relationships among a system's components, and these relationships can be quantified using information theory. In the interest of flexibility we allow information to be quantified using any function, including Shannon entropy and Kolmogorov complexity, that satisfies certain fundamental axioms. Using these axioms, we formalize the notion of a dependency among components, and show how a system's structure is revealed in the amount of information assigned to each dependency. We explore quantitative indices that summarize system structure, providing a new formal basis for the complexity profile and introducing a new index, the "marginal utility of information". Using simple examples, we show how these indices capture intuitive ideas about structure in a quantitative way. Our formalism also sheds light on a longstanding mystery: that the m!
information of three or more variables can be negative. We discuss applications to complex networks, gene regulation, the kinetic theory of fluids and multiscale cybernetic thermodynamics.

An Information-Theoretic Formalism for Multiscale Structure in Complex Systems
Benjamin Allen, Blake C. Stacey, Yaneer Bar-Yam

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International Conference on Computational Social Science

    June 8-11, 2015 Finlandia Hall, Helsinki, Finland

Opening of abstract submission September the 15th, 2014
Deadline for abstract submission November the 15th, 2014
Registration opens on January the 15th, 2015
Conference dates June 8-11, 2015

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War: Origins and Effects

    The International System is a self-organized system and shows emergent behavior. During the timeframe (1495 - 1945), a finite-time singularity and four accompanying accelerating log-periodic cycles shaped the dynamics of the International System. The accelerated growth of the connectivity of the regulatory network of the International System, in combination with its anarchistic structure, produce and shape the war dynamics of the system. Accelerated growth of the connectivity of the International system is fed by population growth and the need for social systems to fulfill basic requirements. The finite-time singularity and accompanying log-periodic oscillations were instrumental in the periodic reorganization of the regulatory network of the International System, and contributed to a long-term process of social expansion and integration in Europa. The singularity dynamic produced a series of organizational innovations. At the critical time of the singularity (1939) the
connectivity of the system reached a critical threshold, resulting in a critical transition. This critical transition caused a fundamental reorganization of the International System: Europe transformed from an anarchistic system to cooperative security community. This critical transition also marks the actual globalization of the International System. During the life span of cycles, the war dynamics show chaotic characteristics. Various early-warning signals can be identified, and can probably be used in the current International System. These findings have implications for the social sciences and historical research.

War: Origins and Effects
Ingo Piepers

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Reality Mining: Using Big Data to Engineer a Better World (by Nathan Eagle & Kate Greene)

    Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data -- surveillance, spying, hacking -- has made headlines, it shouldn't overshadow the abundant positive applications of Big Data. In Reality Mining, Nathan Eagle and Kate Greene cut through the hype and the headlines to explore the positive potential of Big Data, showing the ways in which the analysis of Big Data ("Reality Mining") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy.

Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, describe Reality Mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they first offer a nontechnical explanation of data collection methods and then describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace "knowledge system"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives.

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Complexity, Governance and Networks conference (COMPACT III)

    COMPACT brings together scholars wishing to engage with the fundamental challenges of developing complexity-based theories, methods and practice in public administration and policy development. Previous conferences and the collaborations that arose from these resulted in a range of journal articles, special issues, books and research collaborations and projects.  COMPACT III will build on these contributions in the forthcoming conference by expanding the range of perspectives from which our deliberations draw and focusing on how the theories, methods and practices are applied in specific public administration contexts.  As in the past, the proceedings will be published in book form and we anticipate that selected papers will also be included in one or more special issues of the new journal, Complex Governance Networks.

Complexity, Governance and Networks conference (COMPACT III) to be held in Dublin, Ireland, in June 2015.

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Full Professor in Complexity Science @NTUsg

    The NTU Complexity Institute is the first of its kind in Asia which promotes cross-disciplinary research that can be translated into the principles that underlie complex adaptive systems.  While pushing the frontiers of knowledge, the Institute also seeks to provide thought leadership in the policy arena. It has close ties with the Santa Fe Institute in US, Stockholm Resilience Centre and other leading research organisations. We invite applications for:

Full Professor in Complexity Science, with reference to Urban Adaptive Systems.


Asst/Assoc/Full Professor in Complex Networks and Systems @IUBloomington

    The School of Informatics and Computing (SoIC) at Indiana University Bloomington invites applications for an asst/assoc/full professor position in complex networks and systems, in the Informatics Division, to begin in August 2015. The position is expected to be filled at the senior level, but outstanding junior candidates will be considered.Applications are especially encouraged from established leaders, who will have opportunities for leadership roles in the Center for Complex Networks and Systems and in a new and ambitious university-wide network science initiative to be announced.Applicants should have an established record (senior level) or demonstrable potential for excellence (junior level) in research and teaching, and a Ph.D. in a relevant area, or (junior level) expected by 8/2015.

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

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