In this work we present an in-depth analysis of the user behaviors on different Social Sharing systems. We consider three popular platforms, Flickr, Delicious and StumbleUpon, and, by combining techniques from social network analysis with techniques from semantic analysis, we characterize the tagging behavior as well as the tendency to create friendship relationships of the users of these platforms. The aim of our investigation is to see if (and how) the features and goals of a given Social Sharing system reflect on the behavior of its users and, moreover, if there exists a correlation between the social and tagging behavior of the users. We report our findings in terms of the characteristics of user profiles according to three different di...
International audienceIn the Web 2.0 era, users share and discover interesting content via a network...
International audienceSocial media provides an environment of information exchange. They principally...
To face the new challenge of giving an all-around picture of people's online behavior, in this paper...
In this work we present an in-depth analysis of the user behaviors on different Social Sharing syste...
In this work we present an in-depth analysis of the user behaviors on different Social Sharing syste...
Modern online social platforms allow their members to be involved in a broad range of activities inc...
Social tagging systems allow users to upload and assign keywords to digital resources. Thus a body o...
The growth of the Web 2.0 has brought to a widespread use of social media systems. In particular, so...
The web is rapidly becoming both more open and more social through the provision of technologies tha...
Over the last couple of years, there has been signi_cant research e_ort in mining user behavior on o...
Social recommender systems have been developed to filter the large amounts of data generated by soci...
In our era of big data and information overload, content consumers utilise a variety of sources to m...
Social networks and collaborative tagging systems are rapidly gaining popularity as a primary means ...
We study the semantic assortativity in the social networks hosted by the Flickr folksonomy, based bo...
People, who interact, cooperate or share common activities within the photo sharing system can be se...
International audienceIn the Web 2.0 era, users share and discover interesting content via a network...
International audienceSocial media provides an environment of information exchange. They principally...
To face the new challenge of giving an all-around picture of people's online behavior, in this paper...
In this work we present an in-depth analysis of the user behaviors on different Social Sharing syste...
In this work we present an in-depth analysis of the user behaviors on different Social Sharing syste...
Modern online social platforms allow their members to be involved in a broad range of activities inc...
Social tagging systems allow users to upload and assign keywords to digital resources. Thus a body o...
The growth of the Web 2.0 has brought to a widespread use of social media systems. In particular, so...
The web is rapidly becoming both more open and more social through the provision of technologies tha...
Over the last couple of years, there has been signi_cant research e_ort in mining user behavior on o...
Social recommender systems have been developed to filter the large amounts of data generated by soci...
In our era of big data and information overload, content consumers utilise a variety of sources to m...
Social networks and collaborative tagging systems are rapidly gaining popularity as a primary means ...
We study the semantic assortativity in the social networks hosted by the Flickr folksonomy, based bo...
People, who interact, cooperate or share common activities within the photo sharing system can be se...
International audienceIn the Web 2.0 era, users share and discover interesting content via a network...
International audienceSocial media provides an environment of information exchange. They principally...
To face the new challenge of giving an all-around picture of people's online behavior, in this paper...