1. Characterizing Online Social Networks Orkut Fabricio Benevenuto, Tiago Rodrigues, Meeyoung Cha, Virgilio Almedia Presented by Gregory Peaker, Sankalp Kohli

2. Dataset Duration & Time of Data –Is 12 days between March 26 through April 6 2009 representative? Mid-terms, Finals, Spring Break? –Is it representing OSN’s? “Orkut had the largest number of users and accounted for nearly 98% of all HTTP requests” –Accidental clicks –Crawl user profiles April 10-17, 2009 –Clickstream data March 26-April 6, 2009

3. Why Social Network Aggregator? –Biased users? –“After discarding non-OSN related log entries, 17% of HTTP requests related to accessing following four OSNs” –Is this an actual OSN aggregator? –User Interface of aggregator can influence user behavior Is this why Orkut accounts 98% –Data represents 71% from Brazil and 12% from India –Section 2.1.2 – what is “single visit”?

4. Data Limitations Explain the different OSNs better –“Linkedin is a network used mainly for professional” –How about orkut, hi5, myspace? Session –We know user is connected, but don’t know if actively using OSN or browsing other tab? –How they measure sessions? SessionID on server Leave tab open, and return in hour Close tab, and return in 10 min

5. Flaws in Experiment Section 5.2 –Disregards online social network information provided on home pages Wall Posts, Comments, News Feeds Section 4.1 –“browsing accounted for 92% of all requests”, what is the other 8% of requests In same paragraph, “number of users who ever browsed messages was 13 times larger than those who sent messages” Section 4.2 – “MySpace showed a different profile from Orkut”