MIT14_15JF09_pajek

MIT14_15JF09_pajek - School of Information University of...

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School of Information University of Michigan Unless otherwise noted, the content of this course material is licensed under a Creative Commons Attribution 3.0 License. http://creativecommons.org/licenses/by/3.0/ Copyright 2008, Lada Adamic You assume all responsibility for use and potential liability associated with any use of the material. Material contains copyrighted content, used in accordance with U.S. law. Copyright holders of content included in this material should contact with any questions, corrections, or clarifications regarding the use of content. The Regents of the University of Michigan do not license the use of third party content posted to this site unless such a license is specifically granted in connection with particular content objects. Users of content are responsible for their compliance with applicable law. Mention of specific products in this recording solely represents the opinion of the speaker and does not represent an endorsement by the University of Michigan. For more information about how to cite these materials visit http://michigan.educommons.net/about/terms-of-use.
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School of Information University of Michigan Introductory social network analysis with Pajek Lada Adamic
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Outline In Pajek visualization and layouts concepts of centrality: degree,betweenness, closeness connected components snowball sampling one mode projections of bipartite graphs thresholding weighted graphs Fetching you facebook network What is an egonetwork?
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Using Pajek for exploratory social network analysis Pajek – (pronounced in Slovenian as Pah-yek) means ‘spider’ website: http://vlado.fmf.uni-lj.si/pub/networks/ pajek / wiki: http://pajek.imfm.si/doku.php download application (free) tutorials lectures data sets Windows only (works on Linux via Wine, Mac via Darwine) helpful book: ‘Exploratory Social Network Analysis with Pajek’ by Wouter de Nooy, Andrej Mrvar and Vladimir Batagelj
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Pajek: interface Drop down list of networks opened or created with pajek. Active is displayed Drop down list of network partitions by discrete variables, e.g. degree, mode, label Drop down list of continuous node attributes, e.g. centrality, clustering coefficients we’ll use today can be used for clustering Source: Pajek, Free for noncommercial use - http://pajek.imfm.si/doku.php?id=download
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Pajek: opening a network file click on folder icon to open a file Save changes to your network, network partitions, etc., if you’d like to keep them Source: Pajek, Free for noncommercial use - http://pajek.imfm.si/doku.php?id=download
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Pajek: working with network files The active network, partition, etc is shown on top of the drop down list Draw the network Source: Pajek, Free for noncommercial use - http://pajek.imfm.si/doku.php?id=download
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Pajek data format
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MIT14_15JF09_pajek - School of Information University of...

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