4 papers
The Impact of External Sources on the Friedkin-Johnsen Model
Charlotte Out, Sijing Tu, Stefan Neumann +1
To obtain a foundational understanding of timeline algorithms and viral content in shaping public opinions, computer scientists started to study augmented versions of opinion forma…
OptiRefine: Densest subgraphs and maximum cuts with refinements
Sijing Tu, Aleksa Stankovic, Stefan Neumann +1
Data-analysis tasks often involve an iterative process, which requires refining previous solutions. For instance, when analyzing dynamic social networks, we may be interested in mo…
Adversaries with Limited Information in the Friedkin--Johnsen Model
Sijing Tu, Stefan Neumann, Aristides Gionis
In recent years, online social networks have been the target of adversaries who seek to introduce discord into societies, to undermine democracies and to destabilize communities. O…
A Viral Marketing-Based Model For Opinion Dynamics in Online Social Networks
Sijing Tu, Stefan Neumann
Online social networks provide a medium for citizens to form opinions on different societal issues, and a forum for public discussion. They also expose users to viral content, such…