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Network Analysis for SEO
     - definition & basic concepts
           - software and datasets
              - applications for SEO




                       Charlotte Bourne
              Search Marketing Strategist
Network Analysis
Basic Concepts
   Node or Vertex

            Edge
Basic Concepts: Centrality




Degrees: number of incoming or outgoing connections
Closeness: ability to reach all other nodes in the least amount of steps
Betweenness: extent that a node lies on the path to reach other nodes
Software
       Pajek             NodeXL
     UCINet               Tulip
    NetworkX               ORA
       JUNG         Analyst Notebook
      igraph            KrakPlot
     Visone              LibSNA
Network Workbench        UrlNet
      Gephi             Graphviz
Software: NodeXL

         Imports from:
                 -Flickr
              - Twitter
            - Youtube

     Backlink data from:
                  - GWT
   - Yahoo Site Explorer
    - Open Site Explorer
Network Analysis for SEO
- Interlinking between web properties
                  - Analysis of backlinks
     - Competitive analysis of backlinks
               - Social network analysis
Analysis of Backlinks
- who is linking to my client’s websites?
Analysis of Backlinks




Links to One Site in the        Links to Two Sites in the
        Network                         Network
Analysis of Backlinks
Competitive Analysis
- who is linking to my competitors but
                      not to my client?
Competitive Analysis: Degree Centrality
                - Act as hubs of information
Competitive Analysis: Betweenness Centrality
  - Information frequently flows through these sites
Social Media Analysis
- looking for influencers on Twitter
Social Media Analysis: 4FRNT Skis
Social Media Analysis
Social Media Analysis
Advanced Applications
                         SEO
- layering in other data sets

                 Social Media
       - brand management
      - competitive analysis
           -reputation audit
            - crisis mitigation
Summary
            - proven field of knowledge
- applications for SEO and social media

       theresultspeople.com/network
                nodexl.codeplex.com/




                            Charlotte Bourne

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Network Analysis for SEO

Editor's Notes

  1. Definition. Science, social science, business.Links b/w websites.
  2. Krackhardt kite. Explain actor vertices; connections edges, undirected vs. directed.
  3. Central concern: centrality.Math formula.Marketing.Information broker.
  4. Meant for academics. Programming languages. Lack of documention.
  5. Nodexl: free, open source, MS Research labs, mandate.Ability to import from a variety of network.
  6. Organize own network; how your network fits into the web as a whole
  7. Distance has no meaning, red dots are client sites.
  8. Common site with high betweenness centrality: Wikipedia
  9. 4FRNT Twitter network.29,300 edges between 1,250 vertices. Layout, zoom, dynamic filter, cluster.
  10. Blue: 4FRNT. Orange: ESPN Ski. Lime: Armada Skis. Same niche market. Pink: The Canyons.Blue: 4FRNT. Orange: ESPN Ski. Lime: Armada Skis. Same niche market. Pink: The Canyons.
  11. Teton gravity has 12,000 followers.
  12. SEOMoz API for MozRank or anchor text. Google Analytics referring traffic as additional data layer.