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Analyzing (social media) networks with NodeXL

Published: 25 June 2009 Publication History

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.

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Published In

cover image ACM Other conferences
C&T '09: Proceedings of the fourth international conference on Communities and technologies
June 2009
306 pages
ISBN:9781605587134
DOI:10.1145/1556460
  • General Chair:
  • John M. Carroll
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 June 2009

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Author Tags

  1. excel
  2. network analysis
  3. social media
  4. social network
  5. spreadsheet
  6. visualization

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  • Research-article

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C&T '09
C&T '09: Communities and Technologies
June 25 - 27, 2009
PA, University Park, USA

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Overall Acceptance Rate 80 of 183 submissions, 44%

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  • (2024)Improved Visual Saliency of Graph Clusters with Orderable Node-Link LayoutsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345616731:1(1028-1038)Online publication date: 11-Sep-2024
  • (2024)Sticky Links: Encoding Quantitative Data of Graph EdgesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.338856230:6(2968-2980)Online publication date: Jun-2024
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