Mar 27, 2018 · We evaluate our DTIM methods on a special case of user engagement in online social networks, which concerns users who are not actively involved ...

This work defines a novel problem, named Diversity-sensitive Targeted Influence Maximization (DTIM), which assumes to model user diversity by exploiting ...

We evaluate our DTIM methods on a special case of user engagement in online social networks, which concerns users who are not actively involved in the community ...

Apr 20, 2018 · Abstract—Research on influence maximization has often to cope with marketing needs relating to the propagation of information.

We evaluate our DTIM methods on a special case of user engagement in online social networks, which concerns users who are not actively involved in the community ...

We evaluate our DTIM methods on a special case of user engagement in online social networks, which concerns users who are not actively involved in the community ...

We evaluate our DTIM methods on a special case of user engagement in online social networks, which concerns users who are not actively involved in the community ...

Bibliographic details on Topology-driven Diversity for Targeted Influence Maximization with Application to User Engagement in Social Networks.

Topology-driven diversity for targeted influence maximization with application to user engagement in social networks. Caliò, Antonio, Roberto Interdonato ...

In this paper, we consider influence maximization which targets a specific group of users with competitive influence spreading in social networks.