Interactive Tagging Networks (Following/Followers and Tags on 1 million Twitter Users)

And if so, to what extent? (RQ3) What is the difference between the two types of relationships on Twitter: who-tags-whom and who-follows-whom? By quantitatively studying million-scale networks, we found the pervasive patterns across the different tagging networks, and the interactive patterns within the interactive tagging network.

This study sheds light on the underlying characteristics of the interactive tagging network, which is relevant to the social scientists and the system designers of the tagging systems. Data twitter.seed.users: The first column is the user id, and the second column is the json of the user objects on Twitter. This is the set of 1 million seed users to collect the following data. twitter.tagging.network: The first column is the source user id (from user id), the second column is the destination user id (to user id), the third column is the tag ( i.e. slug or list name), and the fourth column is the list id. twitter.tagging-out-going-from-seed-users.network: The first column is the source user id (from user id), the second column is the destination user id (to user id), the third column is the tag ( i.e. slug or list name), and the fourth column is the list id.

This is only the out-going edges from the seed users, i.e. , this is a subset of twitter.tagging.network. twitter.following.network: The first column is the source user id (from user id), and the second column is the destination user id (to user id). twitter.following-closed-seed-users.network: The first column is the source user id (from user id), and the second column is the destination user id (to user id). This is not used in the following publication paper, but will be useful in other studies.

Publication This data set was created for our study. If you make use of this data set, please cite: Yuto Yamaguchi, Mitsuo Yoshida, Christos Faloutsos, Hiroyuki Kitagawa. Patterns in Interactive Tagging Networks.

Proceedings of the Ninth International AAAI Conference on Web and Social Media (ICWSM-15) . pp.513-522, 2015. aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10556 Code Our code outputting experiment results made available at: github.com/yamaguchiyuto/icwsm15