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Editor Login


Convener in chief:


David Lazer
(Methodology, Networked Governance)

Editors:


Stanley Wasserman
(Current Trends, Methodology, Social Networks)
Guy Stuart
(Economic Sociology, Finance)
Allan Friedman
(Simulations)
Nathan Eagle
(Technology, Social Computing, Powerlaws, Current Trends)
Ben Waber
(Technology, Social Computing) Ines Mergel
(Knowledge Sharing, Social Computing, Social Software, Current Trends)
Maria Binz-Scharf
(Qualitative Methodology, Knowledge Sharing, eGovernment)
Alexander Schellong
(Admin, eGovernment, Citizen Relationship Management)

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    « Regulating the madness of crowds... | Main | Pew study: the connected American family »

    15 October 2008

    Cambridge Colloquium on Complexity and Social Networks: Fall, 2008

    Please see the remaining schedule for Cambridge Colloquium on Complexity and Social Networks for the Fall, 2008. Please note that a light lunch will be served at events. If you would like to be added to the e-mail list for announcements about CCCSN, please e-mail david_fishman@ksg.harvard.edu.

    Best,

    David Lazer, Director
    Program on Networked Governance


    CAMBRIDGE COLLOQUIUM ON COMPLEXITY AND SOCIAL NETWORKS
    (all talks are 12-1:30)


    October 20: Economic complexity and growth

    Fainsod Room (Littauer building)

    Cesar Hidalgo
    Center for International Development
    Harvard University


    October 27: Using (Excel) .NetMap for Social Network Analysis

    Marc Smith
    (recently of Microsoft Research)

    IMPORTANT, THIS IS AN ONLINE ONLY EVENT: URL to be posted on the blog shortly before the event.

    This will be an online tutorial for.NetMap, a free add-in for Excel 2007 that provides social network diagram and analysis tools in the context of a spreadsheet. To download the Excel .NetMap Add-in and slides visit: http://www.codeplex.com/netmap.


    November 24: Honest Signals

    Taubman 275

    Alex (Sandy) Pentland
    Media Lab, MIT


    DETAILS ON NEXT EVENT:

    Economic complexity and growth
    Cesar Hidalgo, Harvard University

    We develop a new general tool to capture the information contained in the links of a bipartite network and apply it to the relationship between countries and the products they export. The method is based on the calculation of the average properties of a node's neighbors, where the neighbors of a country are the products that it exports and the neighbors of a product are the countries that export it. We show that our measures are highly correlated with a country's GDP per capita. More importantly, we show that these measures are predictive of a country's future economic growth and of some of the properties of the new exports that a country will develop over time. This method can be iterated by successively calculating the average nearest neighbor properties of the previous measure. Surprisingly, the information on income and growth extracted through our method increases with each iteration, indicating that our approach captures information about the productive structure of countries that matters for economic growth and development.

    Posted by David Lazer at October 15, 2008 9:23 AM