Katharina Anna Zweig
Biographic Data
| ID | 789143 |
|---|---|
| NAME | Katharina Anna Zweig |
| GIVEN NAMES | Katharina Anna |
| FAMILY NAME | Zweig |
| SIGNATURE | ZWEIG K A |
| AFFILIATIONS | University of Kaiserslautern |
| ORCID | 0000-0002-4294-9017 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 33 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 2 |
Promises and Pitfalls of Algorithm Use by State Authorities
Algorithmic systems are increasingly used by state agencies to inform decisions about humans. They produce scores on risks of recidivism in criminal justice, indicate the probability for a job seeker to find a job in the labor market, or calculate whether an applicant should get access to a certain university program. In this contribution, we take an interdisciplinary perspective, provide a bird’s eye view of the different key decisions that are …
How to regulate algorithmic decision‐making
Algorithmic decision‐making (ADM) systems have come to support, pre‐empt or substitute for human decisions in manifold areas, with potentially significant impacts on individuals' lives. Achieving transparency and accountability has been formulated as a general goal regarding the use of these systems. However, concrete applications differ widely in the degree of risk and the accountability problems they entail for data subjects. The present paper …
A systematic evaluation of assumptions in centrality measures by empirical flow data
When considering complex systems, identifying the most important actors is often of relevance. When the system is modeled as a network, centrality measures are used which assign each node a value due to its position in the network. It is often disregarded that they implicitly assume a network process flowing through a network, and also make assumptions of how the network process flows through the network. A node is then central with respect to th…
Quantitative analysis of automatic performance evaluation systems based on the h-index
Since the h -index has been invented, it is the most frequently discussed bibliometric value and one of the most commonly used metrics to quantify a researcher’s scientific output. The more it is increasingly gaining popularity to use the metric as an indication of the quality of a job applicant or an employee the more important it is to assure its correctitude. Many platforms offer the h -index of a scientist as a service, sometimes without the …
Are Word-Adjacency Networks Networks
Entertainment Computing and Serious Games
Motif detection speed up by using equations based on the degree sequence
Increasing sampling efficiency for the fixed degree sequence model with phase transitions
Different flavors of randomness
Network Representations of Complex Data
Multiplex Networks
Navigation in Complex Networks
The question of how humans learn to navigate in a new environment has mainly been studied in geographically embedded environments. Next to navigation in these concrete networks, people also need to understand and navigate abstract networks like those which connect concepts with each other. With a simple game the author and colleagues analyzed how humans explored an abstract word network and how they learned to navigate it extremely fast after a s…
A fixed degree sequence model for the one-mode projection of multiplex bipartite graphs
A systematic approach to the one-mode projection of bipartite graphs
How to regulate algorithmic decision‐making
Algorithmic decision‐making (ADM) systems have come to support, pre‐empt or substitute for human decisions in manifold areas, with potentially significant impacts on individuals' lives. Achieving transparency and accountability has been formulated as a general goal regarding the use of these systems. However, concrete applications differ widely in the degree of risk and the accountability problems they entail for data subjects. The present paper …
A systematic approach to the one-mode projection of bipartite graphs
A fixed degree sequence model for the one-mode projection of multiplex bipartite graphs
Different flavors of randomness
A systematic approach to the one-mode projection of bipartite graphs
Navigation in Complex Networks
The question of how humans learn to navigate in a new environment has mainly been studied in geographically embedded environments. Next to navigation in these concrete networks, people also need to understand and navigate abstract networks like those which connect concepts with each other. With a simple game the author and colleagues analyzed how humans explored an abstract word network and how they learned to navigate it extremely fast after a s…
A fixed degree sequence model for the one-mode projection of multiplex bipartite graphs
Network Representations of Complex Data
Multiplex Networks
Different flavors of randomness
Are Word-Adjacency Networks Networks
Entertainment Computing and Serious Games
Motif detection speed up by using equations based on the degree sequence
Increasing sampling efficiency for the fixed degree sequence model with phase transitions
Quantitative analysis of automatic performance evaluation systems based on the h-index
Since the h -index has been invented, it is the most frequently discussed bibliometric value and one of the most commonly used metrics to quantify a researcher’s scientific output. The more it is increasingly gaining popularity to use the metric as an indication of the quality of a job applicant or an employee the more important it is to assure its correctitude. Many platforms offer the h -index of a scientist as a service, sometimes without the …
A systematic evaluation of assumptions in centrality measures by empirical flow data
When considering complex systems, identifying the most important actors is often of relevance. When the system is modeled as a network, centrality measures are used which assign each node a value due to its position in the network. It is often disregarded that they implicitly assume a network process flowing through a network, and also make assumptions of how the network process flows through the network. A node is then central with respect to th…
Promises and Pitfalls of Algorithm Use by State Authorities
Algorithmic systems are increasingly used by state agencies to inform decisions about humans. They produce scores on risks of recidivism in criminal justice, indicate the probability for a job seeker to find a job in the labor market, or calculate whether an applicant should get access to a certain university program. In this contribution, we take an interdisciplinary perspective, provide a bird’s eye view of the different key decisions that are …
How to regulate algorithmic decision‐making
Algorithmic decision‐making (ADM) systems have come to support, pre‐empt or substitute for human decisions in manifold areas, with potentially significant impacts on individuals' lives. Achieving transparency and accountability has been formulated as a general goal regarding the use of these systems. However, concrete applications differ widely in the degree of risk and the accountability problems they entail for data subjects. The present paper …
Computer Science (14 works) · Complex Network Analysis Techniques (7 works) · Algorithm (6 works) · Mathematics (6 works) · Artificial Intelligence (5 works) · Theoretical Computer Science (5 works) · Bioinformatics and Genomic Networks (4 works) · Graph (4 works) · Business (3 works) · Data mining (3 works)