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Fabricio Benevenuto , Tiago Rodrigues , Meeyoung Cha, Virgilio Almedia Presented by Gregory Peaker, Sankalp Kohli. Characterizing Online Social Networks Orkut. Dataset. Duration & Time of Data Is 12 days between March 26 through April 6 2009 representative?
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FabricioBenevenuto, Tiago Rodrigues, Meeyoung Cha, VirgilioAlmedia Presented by Gregory Peaker, SankalpKohli Characterizing Online Social NetworksOrkut
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
Why Social Network Aggregator? • 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”?
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
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”