activity
20052024
most citedA New Approach for Boundary Recognition in Geometric Sensor Networks

84 citations · 112 across the 8 of their papers we have counts for

collaborators

9 papers

cs.AI2024★ 1 cited

Hacking a surrogate model approach to XAI

Alexander Wilhelm, Katharina A. Zweig

In recent years, the number of new applications for highly complex AI systems has risen significantly. Algorithmic decision-making systems (ADMs) are one of such applications, wher…

cs.CY2020★ 18 cited

Diversity in News Recommendations

Abraham Bernstein, Claes de Vreese, Natali Helberger +19

News diversity in the media has for a long time been a foundational and uncontested basis for ensuring that the communicative needs of individuals and society at large are met. Tod…

cs.LG2019

Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields

Tom Hanika, Marek Herde, Jochen Kuhn +8

The field of collaborative interactive learning (CIL) aims at developing and investigating the technological foundations for a new generation of smart systems that support humans i…

cs.CY2018★ 2 cited

What did you see? Personalization, regionalization and the question of the filter bubble in Google's search engine

Tobias D. Krafft, Michael Gamer, Katharina A. Zweig

This report analyzes the Google search results from more than 1,500 volunteer data donors who, in the five weeks leading up to the federal election on September 24th, 2017, automat…

cs.SI2017★ 3 cited

Link Classification and Tie Strength Ranking in Online Social Networks with Exogenous Interaction Networks

Mohammed Abufouda, Katharina A. Zweig

Online social networks (OSNs) have become the main medium for connecting people, sharing knowledge and information, and for communication. The social connections between people usi…

cs.SI2016

Most central or least central? How much modeling decisions influence a node's centrality ranking in multiplex networks

Sude Tavassoli, Katharina Anna Zweig

To understand a node's centrality in a multiplex network, its centrality values in all the layers of the network can be aggregated. This requires a normalization of the values, to…