Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/1603
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gjoka, Minas | - |
dc.contributor.author | Markopoulou, Athina | - |
dc.contributor.author | Sirivianos, Michael | - |
dc.contributor.other | Σιριβιανός, Μιχάλης | - |
dc.date.accessioned | 2013-02-18T13:43:33Z | en |
dc.date.accessioned | 2013-05-17T05:22:20Z | - |
dc.date.accessioned | 2015-12-02T10:01:26Z | - |
dc.date.available | 2013-02-18T13:43:33Z | en |
dc.date.available | 2013-05-17T05:22:20Z | - |
dc.date.available | 2015-12-02T10:01:26Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | WOSN '08 Proceedings of the first workshop on online social networks, 2008, pp. 31-36 | en_US |
dc.identifier.isbn | 978-1-60558-182-8 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/1603 | - |
dc.description.abstract | Facebook is one of the most popular Internet sites today. A key feature that arguably contributed to Facebook's unprecedented success is its application platform, which enables the development of third-party social-networking applications. Understanding how these applications are installed and used is important for the function and utility of web-based online social networks, e.g. to better engineer them and/or to design advertising campaigns. In this paper, we characterize the popularity and user reach of Facebook applications. We analyze application usage data gathered over a period of six months from Facebook and Adonomics - a Facebook analytics service. We also crawl publicly accessible Facebook user profiles and obtain per-user application installation statistics, for approximately 300K users and 13.6K applications. Our findings include that (i) the popularity of Facebook applications has a highly skewed distribution; (ii) although the total number of application installations increases with time, the average user activity decreases; and (iii) users with more applications installed are more likely to install new applications | en_US |
dc.language.iso | en | en_US |
dc.rights | © ACM 2008 | en_US |
dc.subject | Online social networks | en_US |
dc.subject | Computer science | en_US |
dc.subject | Internet | en_US |
dc.title | Poking facebook: characterization of osn applications | en_US |
dc.type | Book Chapter | en_US |
dc.affiliation | University of California | en |
dc.subject.category | Computer and Information Sciences | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.identifier.doi | 10.1145/1397735.1397743 | en_US |
dc.dept.handle | 123456789/54 | en |
cut.common.academicyear | 2007-2008 | en_US |
item.openairecristype | http://purl.org/coar/resource_type/c_3248 | - |
item.openairetype | bookPart | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-6500-581X | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Κεφάλαια βιβλίων/Book chapters |
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