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This study delves into the Orkut dataset from March 26 to April 6, 2009, exploring user behavior patterns, aggregator biases, and data limitations. Investigate the influences of user interfaces and regional demographics on social network usage.
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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”