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- 1. Signal versus Noise<br />Why Academic Blogging Matters:<br /> A structural argument<br />Shawn Graham, RPA<br />Department of History,<br />Carleton University<br />@electricarchaeo<br />Image CC Paul Keller<br />
- 2. Omniadisce; posteavidebisnihilessesuperfluum<br />Father Leonard Boyle, http://www.pims.ca/academics/boyle.html<br />Hugh of St Victor teaching three monks From De ArcaMorali (13th Century) Ms. Laud. Misc. 409, f° 3v. The Bodeleian Library, Oxford<br />
- 3. Size of the Internet<br />Carpenter, Brian. Observed Relationships between Size Measures of the Internet or Is the Internet really just a star network after all? 6.<br />
- 4. Wayback Machine, Showing Yahoo on October 20 1996<br />
- 5. Pagerank, according to Wikipedia<br />Mathematical PageRanks (out of 100) for a simple network (PageRanks reported by Google are rescaled logarithmically). Page C has a higher PageRank than Page E, even though it has fewer links to it; the link it has is of a much higher value. A web surfer who chooses a random link on every page (but with 15% likelihood jumps to a random page on the whole web) is going to be on Page E for 8.1% of the time. (The 15% likelihood of jumping to an arbitrary page corresponds to a damping factor of 85%.) Without damping, all web surfers would eventually end up on Pages A, B, or C, and all other pages would have PageRank zero. Page A is assumed to link to all pages in the web, because it has no outgoing links.<br />http://en.wikipedia.org/wiki/PageRank<br />
- 6. Needle in a Haystack,the finding thereof.<br />Image cc Graham Horn<br />
- 7. Teaching the Machine<br />Image CC Derrick Bostrom<br />
- 8. Segal, David. 2010 ‘A Bully Finds a Pulpit on the Web’. The New York Times, Nov. 26.<br />
- 9. Understanding our signals<br />The web of responses to Colleen’s Week 2 of the ‘Blogging Archaeology’ carnival<br />
- 10. Noise<br />Results of search, ‘Blogging Archaeology’ on Google.com (not a phrase-search), April 1 2010. After 20 minutes, nodes=8532, edges=8949<br />
- 11. Network stats:<br />Diameter: 8<br />Average Path Length: 3<br />Filter the network so that only nodes with > 30 connections appear, reduces the graph to ~1.5 % of the nodes, and 10% of all the connections<br />Leaves us with 4 communities, per modularity detection.<br />
- 12. Signal<br />The archaeological blogosphere: green<br />The cloud: light blue (Google, Amazon, Youtube,)<br />Social Media: Purple (Facebook, Twitter; also online newspapers)<br />News aggregators: Red (news.google.com)<br />Turns out, Colleen is the center of the world. Size of node = betweeness centrality<br />
- 13. “Roman Archaeology” on the internet<br />
- 14. Network Stats<br />Diameter: 10<br />Average Path Length: 6<br />Filter the network so that only nodes with > 30 connections appear, reduces the graph to ~3 % of the nodes, and 23% of all the connections<br />Leaves us with 9 communities, per modularity detection.<br />Results of search, “Roman Archaeology” on Google.com, April 1 2010. After 20 minutes, nodes=6240, edges=13 216<br />
- 15. Signal.<br />Academia<br />Blogs & Twitter<br />Wikipedia<br />Google & News sites<br />Size of node = betweeness centrality<br />
- 16. Reference links<br />Carpenter, Brian. 2010. Observed Relationships between Size Measures of the Internet or Is the Internet really just a star network after all?. http://bit.ly/dUjL89 [April 1 2010]<br />Gephi.org. 2010. Gephi, an open source graph visualization and manipulation software. http://gephi.org [April 1 2010]<br />Jacomy, M. P. Girard, A. Delanoe. Navicrawler 1.7.3http://bit.ly/eUqTuR [April 1 2010]<br />“Leonard Boyle” http://en.wikipedia.org/wiki/Leonard_Boyle [April 1 2010]<br />Levy, Steve. 2010. ‘How Google’s Algorithm Rules the Web’ Wired March. http://bit.ly/9Pg9W8 [April 1 2010]<br />Segal, David. 2010 ‘A Bully Finds a Pulpit on the Web’. The New York Times, Nov. 26. http://nyti.ms/hR7Iqy [April 1 2010]<br />Singhal, Amit. 2010 .“Official Google Blog: Being bad to your customers is bad for business” Dec. 1. http://bit.ly/hsoRaX [April 1 2010]<br />“PageRank” http://en.wikipedia.org/wiki/PageRank [April 1 2010]<br />

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