Analysis of MySpace user profiles

@article{Massari2010AnalysisOM,
  title={Analysis of MySpace user profiles},
  author={Luisa Massari},
  journal={Information Systems Frontiers},
  year={2010},
  volume={12},
  pages={361-367}
}
  • L. Massari
  • Published 2010
  • Computer Science
  • Information Systems Frontiers
Online social networks have attracted millions of users, who have integrated social network web sites into their daily life. Users participate to the changes and to the evolution of these sites because they are producers and reviewers of contents that help them to maintain the existing social relationships, make new friends, collaborate and enrich experiences. This paper presents a study of the characteristics of the users of MySpace web site, with the objective of studying relationships and… Expand
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References

SHOWING 1-10 OF 15 REFERENCES
Measurement and analysis of online social networks
TLDR
This paper examines data gathered from four popular online social networks: Flickr, YouTube, LiveJournal, and Orkut, and reports that the indegree of user nodes tends to match the outdegree; the networks contain a densely connected core of high-degree nodes; and that this core links small groups of strongly clustered, low-degree node at the fringes of the network. Expand
Proximity Measure for Recommending Groups in Online Social Networks
There are currently, thousands of online social networks (OSN) available, each of which hosts millions of users. Users make new friendship links, join groups on diverse topics, share opinions andExpand
Characterizing social cascades in flickr
TLDR
This work uses real traces of 1,000 popular photos and a social network collected from Flickr, and a theoretical framework borrowed from epidemiology, to show that social cascades are an important factor in the dissemination of content. Expand
Structure and evolution of online social networks
TLDR
A simple model of network growth is presented, characterizing users as either passive members of the network; inviters who encourage offline friends and acquaintances to migrate online; and linkers who fully participate in the social evolution of thenetwork. Expand
A short walk in the Blogistan
TLDR
This work characterize blogs and study different facets of the link structure in blogs and its evolution over time, attributes of servers and domains that host many of the blogs including their IP addresses, and how blogs behave with respect to various HTTP/1.1 protocol issues. Expand
Youtube traffic characterization: a view from the edge
TLDR
This paper presents a traffic characterization study of the popular video sharing service, YouTube, and finds that as with the traditional Web, caching could improve the end user experience, reduce network bandwidth consumption, and reduce the load on YouTube's core server infrastructure. Expand
The Strength of Weak Cooperation: An Attempt to Understand the Meaning of Web 2.0
This paper examines some continuities and ruptures in the use of Web 2.0 such as blogs, social media, user-generated content services etc. vis-a-vis earlier web services. We hypothesize that one ofExpand
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
TLDR
This paper analyzed YouTube, the world's largest UGC VoD system, and provided an in-depth study of the popularity life-cycle of videos, the intrinsic statistical properties of requests and their relationship with video age, and the level of content aliasing or of illegal content in the system. Expand
Wikipedia workload analysis for decentralized hosting
TLDR
It is concluded that decentralized architectures must focus on applying techniques to efficiently handle read operations while maintaining consistency and dealing with typical issues on decentralized systems such as churn, unbalanced loads and malicious participating nodes. Expand
Analysis of online video search and sharing
TLDR
Initial results show that page views in the video context deviate from the typical power-law relationships seen on the Web, but there are clear indications that tagging and textual descriptions play a key role in making some video-pages more popular than others, which shows that many techniques based on text analysis could apply in theVideo context. Expand
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