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PortraitLev Muchnik

I’m a senior lecturer at the Hebrew University of Jerusalem, School of Business Administration, Internet Studies Department. Between 2008 and 2012, I was Senior research scientist at the Information, Operations Management and Statistics Department of the Leonard N. Stern School on Business at New York University. I earned my Ph.D. in Physics from Bar Ilan University and specialize in the collection and analysis of massive data sets representing large-scale social systems, and their modeling using tools borrowed from social sciences and statistical physics.

My recent work has been focused on theoretical and empirical problems related to the structure and evolution of social networks, as well as peer effects, the spread of behavioral norms, information diffusion, and other processes specific to networked environments. Jointly with collaborators, I developed a seminal method for the identification of peer influence in networks, and conducted large-scale randomized controlled experiments in online communities. My expertise includes the design of scalable microscopic simulations of complex multi-agent systems and time-series analysis, in particular of long-term memory and scaling characteristics of financial data.

Complex Networks Package for MatLab

A comprehensive MatLab-based package for complex network manipulation and analysis available for download. The new version provides a very flexible framework for simulation of dynamic processes on networks. The package is well documented and comes with a nice tutorial.

March 2012: Version 1.4 is available for download.

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Clusterizer is a cool application which finds terms, conceptually close to each other. For example,selecting Mechanics brings a whole bunch of Mechanics-related terms (physical laws, equations, units and measures). You can control the specificity of each group expanding and shrinking it with a single parameter. Clusterizer is a bit similar to Google Sets but is based on Wikipedia (check out the Wikipedia Analysis Project for more details). It utilizes complex networks algorithms to obtain some exciting results.


Networks Data

I have finally started placing some complex networks - related data. For now, these are only two data sets - a monthly snapshot of USA air traffic and a reference network of Wikipedia (in Italian). Both networks can easily be imported into the analysis toolbox.
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Complex Networks Package Tutorial

Short tutorial illustrating some of the basic operations performed with the Networks Package including graph generation and manipulation, some basic network analysis and classical robustness test experiment.
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Displaying XML files within HTML page

A useful JavaScript handling syntax-highlighted and collapsible display of arbitrary XML. A nice XML display in embedded within your custom HTML page. This code can be quite useful for debugging client-server communication in your AJAX application. It requires minimal modifications of your HTML page and is compatible with IE and Firefox . The XML display is easily configurable via trivial CSS file.

Sept. 20, 2007
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Publishing EndNote References Online

Follow few simple steps to make your EndNote's library available online.
The tutorial guides you through a sequence of steps leading to AJAX - based WEB page dynamically loading and presenting a list of publications from EndNote. No coding or prior knowledge of XML or JavaScript is needed.
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