Network Analysis for SEO and Social Media

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Network graphs and network analysis have applications in a number of fields. Learn how this can be applied to SEO and social media - an SMX West Presentation.

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Network Analysis for SEO- definition & basic concepts- software and datasets- applications for SEOCharlotte BourneSearch Marketing Strategist, Mediativewww.mediative.ca

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 NodeXL Tulip ORA Analyst Notebook KrakPlot LibSNA UrlNet Graphviz Pajek UCINet NetworkX JUNG igraph Visone Network Workbench Gephi

Software: NodeXL Imports from: ,[object Object]

YoutubeBacklink data from: - GWT - Yahoo Site Explorer - Open Site Explorer

Network Analysis for SEO ,[object Object]

Social network analysis,[object Object],[object Object]

Competitive Analysis ,[object Object],[object Object]

Competitive Analysis: Betweenness Centrality - Information frequently flows through these sites

Social Media Analysis ,[object Object],[object Object]

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Network Analysis for SEO and Social Media

1. Network Analysis for SEO- definition & basic concepts- software and datasets- applications for SEOCharlotte BourneSearch Marketing Strategist, Mediativewww.mediative.ca

2. Network Analysis

3. Basic Concepts Node or Vertex Edge

4. 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

5. Software NodeXL Tulip ORA Analyst Notebook KrakPlot LibSNA UrlNet Graphviz Pajek UCINet NetworkX JUNG igraph Visone Network Workbench Gephi

7. Twitter

8. YoutubeBacklink data from: - GWT - Yahoo Site Explorer - Open Site Explorer

10. Analysis of backlinks

11. Competitive analysis of backlinks

12.

13. Analysis of Backlinks

14.

15. Competitive Analysis: Betweenness Centrality - Information frequently flows through these sites

16.

17. Social Media Analysis

18. Social Media Analysis

19.

20. reputation audit

21.

22. applications for SEO and social mediatheresultspeople.com/network nodexl.codeplex.com/ Charlotte Bournecharlotte.bourne@mediative.ca Twitter @everydaylife www.mediative.ca

Hinweis der Redaktion

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