Identifying Influencers: A Content-Oriented Approach
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A fascinating presentation, packed with stats and charts, in which Carol Leaman, CEO of Postrank, explains how Postrank is working to identify influencers.
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Identifying Influencers: A Content-Oriented Approach
- 1. Measuring Audience Engagement & Influenceintelligence from the social web Carol Leaman, CEO @carolleaman carol@postrank.com
- 2. Links as votes Idea: “Great Pages” are the ones with many links “PageRank” circa 1997
- 3. Links as votes User Votes Microblogging Comments Bookmarking … Social Web: Users vote, comment, bookmark, … “PostRank” circa 2007
- 4. 3B+ Archived Metrics 2B+ Archived Posts 350M+ user panel indexed & available in real-time…
- 5. Consumers: Find & Read What Matters http://gr.postrank.com
- 6. Rank Content, Feeds, Site Engagement AdAge 150, Atlantic 50, etc…
- 7. 80% of the engagement with a publisher’s content happens away from their site!
- 8. 50%+ of that engagement happens during the first hour
- 9. Real-time Off-site + On-site Friendfeed for your content PostRank Analytics http://analytics.postrank.com
- 10. Topic Influencers Optimization Advice
- 11. Ranking of Content Ranking of Feeds Ranking of Influencers Ranking …. is much improved when you understand the Social Graph…
- 13. Verified, Claimed, Measurable & Real-time
- 14. Going beyond subjective “Ego Network” metricsUnified Profile of an Influencer we all have twitter, facebook, blogs…
- 15. People Matter: . Social graph, hard to map historically . Ego networks, best predict behavior of individual
- 16. People Matter: . Social graph, hard to map historically . Ego networks, best predict behavior of individual
- 17. Different Ways to Look at Influence Ruby Authorities: Sites that have linked to each other in the community
- 18. Different Ways to Look at Influence Out Links: Sites that have linked the most to others
- 19. Different Ways to Look at Influence Ruby Influencers: People that have linked to each other
- 20. Different Ways to Look at Influence Ruby Influencers: People that have mentioned other people
- 22. Mapping the Social Graph
- 23. Automated profile verification
- 24. Claimed author profiles
- 26. Verified, Claimed, Measurable & Real-time
- 27. Going beyond subjective “Ego Network” metrics
- 28. Understanding & analyzing the topology of the networks
- 29. Optimal set of actors to seed a message with for your campaign?
- 30. Optimal set of actors given a budget?