3 papers
cs.SI2019
Monotone Submodular Diversity functions for Categorical Vectors with Application to Diversification of Seeds for Targeted Influence Maximization
Antonio Caliò, Andrea Tagarelli
Embedding diversity into knowledge discovery tasks is of crucial importance to enhance the meaningfulness of the mined patterns with high-impact aspects related to novelty, serendi…
cs.SI2018
Trust-based dynamic linear threshold models for non-competitive and competitive influence propagation
Antonio Caliò, Andrea Tagarelli
What are the key-features that enable an information diffusion model to explain the inherent dynamic, and often competitive, nature of real-world propagation phenomena? In this pap…
cs.SI2018
Topology-driven Diversity for Targeted Influence Maximization with Application to User Engagement in Social Networks
Antonio Caliò, Roberto Interdonato, Chiara Pulice +1
Research on influence maximization has often to cope with marketing needs relating to the propagation of information towards specific users. However, little attention has been paid…