Determining Influential Users with Supervised Random Walks

Georgios Katsimpras, Dimitrios Vogiatzis, Georgios Paliouras
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
The emergence of social media and the enormous growth of social networks have initiated a great amount of research in social influence analysis. In this regard, many approaches take into account only structural information while a few have also incorporated content. In this study we propose a new method to rank users according to their topic-sensitive influence which utilizes a priori information by employing supervised random walks. We explore the use of supervision in a PageRank-like random
more » ... lk while also exploiting textual information from the available content. We perform a set of experiments on Twitter datasets and evaluate our findings.
doi:10.1145/2740908.2742472 dblp:conf/www/KatsimprasVP15 fatcat:sz2basfp5jaz5bujgs3dzjogje