Analyzing (social media) networks with NodeXL

  • Authors:

  • Marc A. Smith;Ben Shneiderman;Natasa Milic-Frayling;Eduarda Mendes Rodrigues;Vladimir Barash;Cody Dunne;Tony Capone;Adam Perer;Eric Gleave

  • Affiliations:

  • Telligent Systems, Belmont, CA, USA;University of Maryland, College Park, MD, USA;Microsoft, Cambridge, England UK;Microsoft, Cambridge, England UK;Cornell University, Ithaca, NY, USA;University of Maryland, College Park, MD, USA;Microsoft, Redmond, WA, USA;University of Maryland, College Park, MD, USA;University of Washington, Seattle, WA, USA

  • Venue:
  • Proceedings of the fourth international conference on Communities and technologies
  • Year:
  • 2009

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Abstract

We present NodeXL, an extendible toolkit for network overview, discovery and exploration implemented as an add-in to the Microsoft Excel 2007 spreadsheet software. We demonstrate NodeXL data analysis and visualization features with a social media data sample drawn from an enterprise intranet social network. A sequence of NodeXL operations from data import to computation of network statistics and refinement of network visualization through sorting, filtering, and clustering functions is described. These operations reveal sociologically relevant differences in the patterns of interconnection among employee participants in the social media space. The tool and method can be broadly applied.