1 / 1

People are Strange when you’re a Stranger: Impact and Influence of Bots on Social Networks

People are Strange when you’re a Stranger: Impact and Influence of Bots on Social Networks. Luca Maria Aiello, Martina Deplano , Rossano Schifanella, Giancarlo Ruffo. Department of Computer Science, University of Turin, Italy. Who is Lajello?. Anobii Case Study. 1. 2. Social Network.

elisa
Download Presentation

People are Strange when you’re a Stranger: Impact and Influence of Bots on Social Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. People are Strange when you’re a Stranger: Impact and Influence of Bots on Social Networks Luca Maria Aiello, Martina Deplano, Rossano Schifanella, Giancarlo Ruffo Department of Computer Science, University of Turin, Italy Who is Lajello? Anobii Case Study 1 2 Social Network 3 Friendship + Neigborhood (directed, unweighted) Communication Network 1. Gain of Popularity Shoutbox messages exchange (directed weighted) Previous work showed that popularity is related to: ...but lajello’s social probing is sufficient to gain popularity! User response to lajello’s probing activity 3. Polarization of reactions Stacked area of sentiment evolution ratio 2. Influence # messages over time Subsample of social and communication networks induced by the members of two opposing groups (102 pro and 72 against lajello) (b) Communication Network (a) Social Network Polarization in numbers Overall recommendation result (36h): 52% success! Acknowledgments and Contacts This work has been partly supported by the INCA project. We are grateful to aNobii for making its data available, to Giuseppe Tipaldo, Alain Barrat, CiroCattutoand to the members of the NaN group at Indiana University for helpful discussions. For any question, contact arcs@di.unito.it or visit http://arcs.di.unito.it

More Related