Network Analysis for SEO- definition & basic concepts- software and datasets- applications for SEOCharlotte BourneSearch Marketing Strategist, Mediativewww.mediative.ca
Network Analysis
Basic ConceptsNode or VertexEdge
Basic Concepts: CentralityDegrees: number of incoming or outgoing connectionsCloseness: ability to reach all other nodes in the least amount of stepsBetweenness: extent that a node lies on the path to reach other nodes
SoftwareNodeXLTulipORAAnalyst NotebookKrakPlotLibSNAUrlNetGraphvizPajekUCINetNetworkXJUNGigraphVisoneNetwork WorkbenchGephi
Software: NodeXLImports from:Flickr
 Twitter
YoutubeBacklink 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 analysisAnalysis of Backlinks who is linking to my client’s websites?Analysis of BacklinksLinks to One Site in the NetworkLinks to Two Sites in the 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 TwitterSocial Media Analysis: 4FRNT Skis
Social Media Analysis
Social Media Analysis
Advanced ApplicationsSEO  layering in other data setsSocial Media- brand management  competitive analysis

Network Analysis for SEO and Social Media

Editor's Notes

  • #3 Definition. Science, social science, business.Links b/w websites.
  • #4 Krackhardt kite. Explain actor vertices; connections edges, undirected vs. directed.
  • #5 Central concern: centrality.Math formula.Marketing.Information broker.
  • #6 Meant for academics. Programming languages. Lack of documention.
  • #7 Nodexl: free, open source, MS Research labs, mandate.Ability to import from a variety of network.
  • #8 Organize own network; how your network fits into the web as a whole
  • #9 Distance has no meaning, red dots are client sites.
  • #14 Common site with high betweenness centrality: Wikipedia
  • #16 4FRNT Twitter network.29,300 edges between 1,250 vertices. Layout, zoom, dynamic filter, cluster.
  • #17 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.
  • #18 Teton gravity has 12,000 followers.
  • #19 SEOMoz API for MozRank or anchor text. Google Analytics referring traffic as additional data layer.