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Latest Complexity Digest Posts(fwd)

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Mon, 6 Feb 2017 22:26:54 -0500

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 ***** To join INSNA, visit http://www.insna.org ***** selected    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, 6 Feb 2017 12:04:58 +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=8302981a37&e=55e25a0e3e The Internet as Quantitative Social Science Platform: Insights from a Trillion Observations     With the large-scale penetration of the internet, for the first time, humanity has become linked by a single, open, communications platform. Harnessing this fact, we report insights arising from a unified internet activity and location dataset of an unparalleled scope and accuracy drawn from over a trillion (1.5$\times 10^{12}$) observations of end-user internet connections, with temporal resolution of just 15min over 2006-2012. We show how these data can be used to provide scientific insights in diverse fields such as technological diffusion, chronobiology and economics. To our knowledge, our study is the first of its kind to use online/offline activity of the entire internet to infer such insights, demonstrating the potential of the internet as a quantitative social data-science platform. Source: arxiv.org (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=2bd2a1eda0&e=55e25a0e3e) Teams vs. Crowds: A Field Test of the Relative Contribution of Incentives, Member Ability, and Collaboration to Crowd-Based Problem Solving Performance     http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=a86000e7c0&e=55e25a0e3e Organizations are increasingly turning to crowdsourcing to solve difficult problems. This is often driven by the desire to find the best subject matter experts, strongly incentivize them, and engage them with as little coordination cost as possible. A growing number of authors, however, are calling for increased collaboration in crowdsourcing settings, hoping to draw upon the advantages of teamwork observed in traditional settings. The question is how to effectively incorporate team-based collaboration in a setting that has traditionally been individual-based. We report on a large field experiment of team collaboration on an online platform, in which incentives and team membership were randomly assigned, to evaluate the influence of exogenous inputs (member skills and incentives) and emergent collaboration processes on performance of crowd-based teams. Building on advances in machine learning and complex systems theory, we leverage new measurement techniques to examine the content and timing of team collaboration. We find that temporal ÿÿburstinessÿÿ of team activity and the diversity of information exchanged among team members are strong predictors of performance, even when inputs such as incentives and member skills are controlled. We discuss implications for research on crowdsourcing and team collaboration. Preprint at SSRN (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=0f730c4ddf&e=55e25a0e3e) . Source: amd.aom.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=8a05c32041&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-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=10531a07b9&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.