***** To join INSNA, visit http://www.insna.org ***** from finally-warm southern calfiornia on hoiday break 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 _______________________________________________________________________ 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 _______________________________________________________________________ ---------- Forwarded message ---------- Date: Mon, 13 Feb 2017 12:05:34 +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-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=48dd54fb33&e=55e25a0e3e A theoretical foundation for multi-scale regular vegetation patterns http://unam.us4.list-manage2.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=0d70e22ecc&e=55e25a0e3e Empirically validated mathematical models show that a combination of intraspecific competition between subterranean social-insect colonies and scale-dependent feedbacks between plants can explain the spatially periodic vegetation patterns observed in many landscapes, such as the Namib Desert ˙˙fairy circles˙˙. A theoretical foundation for multi-scale regular vegetation patterns Corina E. Tarnita, Juan A. Bonachela, Efrat Sheffer, Jennifer A. Guyton, Tyler C. Coverdale, Ryan A. Long & Robert M. Pringle Nature 541, 398˙˙401 (19 January 2017) doi:10.1038/nature20801 Source: www.nature.com (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=00dc508507&e=55e25a0e3e) Postdoctoral position in Big Data and Data Science We are looking for a highly motivated postdoctoral fellow in the area of Big Data and Data Science with a particular focus on Social Mining within a EU funded project. The project aims to establish a Social Mining and Big Data Ecosystem for ethically sensitive scientific discoveries and advanced applications of social data mining to the various dimensions of social life. The ideal candidate shall pursue exciting research in the areas of Big Data, social data analytics, machine learning, large-scale networks, deep learning, participatory smart cities platforms, and/or in connection with the Nervousnet.info platform. Source: apply.refline.ch (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=0c1ad78bb7&e=55e25a0e3e) University of Sydney ˙˙ Postdoctoral Research Associate ˙˙ Student Interactions The Postdoctoral Research Associate will conduct a longitudinal and a cross-sectional analysis of large-scale data of student interactions. The primary purpose of the network analysis is to cast light on the social and cultural landscape of the Universitys student body. The results will inform the targeting of network interventions. The successful person will work closely with Dr. Petr Matous, Prof Philippa Pattison (Deputy Vice-Chancellor for Education), and Prof. Shane Houston (Deputy Vice-Chancellor for Indigenous Strategy and Services). Source: sydney.nga.net.au (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=0fc0bb5070&e=55e25a0e3e) Fundamental limitations of network reconstruction from temporal data Inferring properties of the interaction matrix that characterizes how nodes in a networked system directly interact with each other is a well-known network reconstruction problem. Despite a decade of extensive studies, network reconstruction remains an outstanding challenge. The fundamental limitations governing which properties of the interaction matrix (e.g. adjacency pattern, sign pattern or degree sequence) can be inferred from given temporal data of individual nodes remain unknown. Here, we rigorously derive the necessary conditions to reconstruct any property of the interaction matrix. Counterintuitively, we find that reconstructing any property of the interaction matrix is generically as difficult as reconstructing the interaction matrix itself, requiring equally informative temporal data. Revealing these fundamental limitations sheds light on the design of better network reconstruction algorithms that offer practical improvements over existing methods. Fundamental limitations of network reconstruction from temporal data Marco Tulio Angulo, Jaime A. Moreno, Gabor Lippner, Albert-László Barabási, Yang-Yu Liu JRS Interface February 2017 Volume 14, issue 127 Source: rsif.royalsocietypublishing.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=d602646d22&e=55e25a0e3e) Ecosystem restoration strengthens pollination network resilience and functions. http://unam.us4.list-manage2.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=f78b1c85e5&e=55e25a0e3e Land degradation results in declining biodiversity and the disruption of ecosystem functioning worldwide, particularly in the tropics1. Vegetation restoration is a common tool used to mitigate these impacts and increasingly aims to restore ecosystem functions rather than species diversity2. However, evidence from community experiments on the effect of restoration practices on ecosystem functions is scarce3. Pollination is an important ecosystem function and the global decline in pollinators attenuates the resistance of natural areas and agro-environments to disturbances4. Thus, the ability of pollination functions to resist or recover from disturbance (that is, the functional resilience)5, 6 may be critical for ensuring a successful restoration process7. Here we report the use of a community field experiment to investigate the effects of vegetation restoration, specifically the removal of exotic shrubs, on pollination. We analyse 64 plant˙˙pollinator networks and the reproductive performance of the ten most abundant plant species across four restored and four unrestored, disturbed mountaintop communities. Ecosystem restoration resulted in a marked increase in pollinator species, visits to flowers and interaction diversity. Interactions in restored networks were more generalized than in unrestored networks, indicating a higher functional redundancy in restored communities. Shifts in interaction patterns had direct and positive effects on pollination, especially on the relative and total fruit production of native plants. Pollinator limitation was prevalent at unrestored sites only, where the proportion of flowers producing fruit increased with pollinator visitation, approaching the higher levels seen in restored plant communities. Our results show that vegetation restoration can improve pollination, suggesting that the degradation of ecosystem functions is at least partially reversible. The degree of recovery may depend on the state of degradation before restoration intervention and the proximity to pollinator source populations in the surrounding landscape5, 8. We demonstrate that network structure is a suitable indicator for pollination quality, highlighting the usefulness of interaction networks in environmental management6, 9. Source: www.nature.com (http://unam.us4.list-manage2.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=b7704a3ab5&e=55e25a0e3e) Complex Networks 2017 http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=d885636c91&e=55e25a0e3e The International Conference on Complex Networks and their Applications aims at bringing together researchers from different scientific communities working on areas related to complex networks. Two types of contributions are welcome: theoretical developments arising from practical problems, and case studies where methodologies are applied. Both contributions are aimed at stimulating the interaction between theoreticians and practitioners. The 6th International Conference on Complex Networks and Their Applications November 29 - December 01 2017 Lyon, France Source: www.complexnetworks.org (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=1648663cfd&e=55e25a0e3e) The Role of Population Games and Evolutionary Dynamics in Distributed Control Systems: The Advantages of Evolutionary Game Theory Recently, there has been an increasing interest in the control community in studying large-scale distributed systems. Several techniques have been developed to address the main challenges for these systems, such as the amount of information needed to guarantee the proper operation of the system, the economic costs associated with the required communication structure, and the high computational burden of solving for the control inputs for largescale systems. Source: ieeexplore.ieee.org (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=5b368d5757&e=55e25a0e3e) ============================================== 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 (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=7a83bd362a&e=55e25a0e3e ) and using the "Suggest" button. ============================================== ============================================== _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.