TY - GEN
T1 - To be a star is not only metaphoric
T2 - 4th International AAAI Conference on Weblogs and Social Media, ICWSM 2010
AU - Stoica, Alina
AU - Couronne, Thomas
AU - Beuscart, Jean Samuel
PY - 2010/12/1
Y1 - 2010/12/1
N2 - The emergence of online platforms allowing to mix self publishing activities and social networking offers new possibilities for building online reputation and visibility. In this paper we present a method to analyze the online popularity that takes into consideration both the success of the published content and the social network topology. First, we adapt the Kohonen self organizing maps in order to cluster the users of online platforms depending on their audience and authority characteristics. Then, we perform a detailed analysis of the manner nodes are organized in the social network. Finally, we study the relationship between the network local structure around each node and the corresponding user's popularity. We apply this method to the MySpace music social network. We observe that the most popular artists are centers of star shaped social structures and that it exists a fraction of artists who are involved in community and social activity dynamics independently of their popularity. This method based on a learning algorithm and on network analysis appears to be a robust and intuitive technique for a rich description of the online behavior.
AB - The emergence of online platforms allowing to mix self publishing activities and social networking offers new possibilities for building online reputation and visibility. In this paper we present a method to analyze the online popularity that takes into consideration both the success of the published content and the social network topology. First, we adapt the Kohonen self organizing maps in order to cluster the users of online platforms depending on their audience and authority characteristics. Then, we perform a detailed analysis of the manner nodes are organized in the social network. Finally, we study the relationship between the network local structure around each node and the corresponding user's popularity. We apply this method to the MySpace music social network. We observe that the most popular artists are centers of star shaped social structures and that it exists a fraction of artists who are involved in community and social activity dynamics independently of their popularity. This method based on a learning algorithm and on network analysis appears to be a robust and intuitive technique for a rich description of the online behavior.
M3 - Conference contribution
AN - SCOPUS:84890661517
SN - 9781577354451
T3 - ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media
SP - 154
EP - 161
BT - ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media
Y2 - 23 May 2010 through 26 May 2010
ER -