Abstract
One paragraph only. Over the past few years, the rapid growth and the exponential use of social digital media has led to an increase in popularity of social networks and the emergence of social computing. In general, social networks are structures made of social entities (e.g., individuals) that are linked by some specific types of interdependency such as friendship. Most users of social media (e.g., Facebook, LinkedIn, MySpace, Twitter, Flickr, YouTube) have many linkages in terms of friends, connections, and/or followers. Among all these linkages, some of them are more important than others. This paper discusses related work on social networks and method use in crawling online social network graph.
Highlights
Social networks are among the foremost widespread sites on the web since Internet has bred several varieties of information sharing systems [1]
Over the past few years, the rapid growth and the exponential use of social digital media has led to an increase in popularity of social networks and the emergence of social computing
Social networks are structures made of social entities that are linked by some specific types of interdependency such as friendship
Summary
Social networks are among the foremost widespread sites on the web since Internet has bred several varieties of information sharing systems [1]. Social networks sites like Facebook, Twitter, MySpace and so on, represent a new kind of information network that differs significantly from existing networks like the Web are examples of wildly popular networks used to find and organize contacts. Other social networks such as Flickr, YouTube, and Google Video, are used to share multimedia content and others such as LiveJournal and BlogSpot are used to share blogs.
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