• DocumentCode
    624003
  • Title

    NodeXL: Simple network analysis for social media

  • Author

    Smith, Michael A.

  • Author_Institution
    Social Media Res. Found., CA, USA
  • fYear
    2013
  • fDate
    20-24 May 2013
  • Firstpage
    89
  • Lastpage
    93
  • Abstract
    NodeXL (http://nodexl.codeplex.com/) is an application that simplifies basic network analysis tasks and supports analysis of social media networks. Using the widely familiar framework of a spreadsheet, NodeXL integrates the features needed to collect, store, analyze, visualize and publish network datasets. The tool connects to a wide range of data sources and to other SNA packages through GraphML and other network file formats. Special support is provided for social media data sources including Twitter, Facebook, YouTube, flickr, email, blogs, wikis, and the WWW. NodeXL is focused on end user ease of use, allowing automation of frequently repeated processes that are commonly applied to network data. NodeXL simplifies network analysis by automatically applying several processes that result in usable visualizations without requiring human engagement and refinement. Users can publish and share NodeXL data sets via the NodeXL Graph Gallery, a web archive of networks and visualizations contributed by the community of users. Many diverse networks have been contributed to the archive, enabling insights into a wide range of networks in general and social networks in particular. Review of these networks has led to identification of six major types of network pattern, described here, which have emerged as major types of self-organized structures in social media.
  • Keywords
    data analysis; data visualisation; pattern classification; social networking (online); Facebook; Flickr; GraphML; NodeXL Graph Gallery; NodeXL application; SNA package; Twitter; WWW; World Wide Web; YouTube; basic network analysis; blogs; electronic mail; email; network dataset analysis; network dataset collection; network dataset publishing; network dataset storage; network dataset visualization; network file format; network pattern; simple network analysis; social media; social media network; wiki; Communities; Data visualization; Media; Sociology; Statistics; Twitter; Information Visualization; Networks; Social Media; Social Networks; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaboration Technologies and Systems (CTS), 2013 International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-6403-4
  • Type

    conf

  • DOI
    10.1109/CTS.2013.6567211
  • Filename
    6567211