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Probing the robustness of nested multi-layer networks
(2019)arXivWe consider a multi-layer network with two layers, $\mathcal{L}_{1}$, $\mathcal{L}_{2}$. Their intra-layer topology shows a scale-free degree distribution and a core-periphery structure. A nested structure describes the inter-layer topology, i.e., some nodes from $\mathcal{L}_{1}$, the generalists, have many links to nodes in $\mathcal{L}_{2}$, specialists only have a few. This structure is verified by analyzing two empirical networks ...Working Paper -
Citations Driven by Social Connections? A Multi-Layer Representation of Coauthorship Networks
(2019)arXivTo what extent is the citation rate of new papers influenced by the past social relations of their authors? To answer this question, we present a data-driven analysis of nine different physics journals. Our analysis is based on a two-layer network representation constructed from two large-scale data sets, INSPIREHEP and APS. The social layer contains authors as nodes and coauthorship relations as links. This allows us to quantify the ...Working Paper -
Quantifying individual influence in leading-following behavior of Bechstein’s bats
(2019)bioRxivLeading-following behavior as a way of transferring information about the location of resources is widespread in different animal societies. However, it cannot always be observed directly. Here, we develop a general method to infer leading-following events from observational data if only the discrete appearance of individuals is recorded. Our method further allows to distinguish such events from local enhancement at the resource, such as ...Working Paper -
Modeling User Reputation in Online Social Networks: The Role of Costs, Benefits, and Reciprocity
(2019)arXivWe analyze an agent-based model to estimate how the costs and benefits of users in an online social network (OSN) impact the robustness of the OSN. Benefits are measured in terms of relative reputation that users receives from their followers. They can be increased by direct and indirect reciprocity in following each other, which leads to a core-periphery structure of the OSN. Costs relate to the effort to login, to maintain the profile, ...Working Paper -
Improving the robustness of online social networks: A simulation approach of network interventions
(2019)arXivOnline social networks (OSN) are prime examples of socio-technical systems in which individuals interact via a technical platform. OSN are very volatile because users enter and exit and frequently change their interactions. This makes the robustness of such systems difficult to measure and to control. To quantify robustness, we propose a coreness value obtained from the directed interaction network. We study the emergence of large drop-out ...Working Paper -
Reconstructing signed relations from interaction data
(2022)arXivPositive and negative relations play an essential role in human behavior and shape the communities we live in. Despite their importance, data about signed relations is rare and commonly gathered through surveys. Interaction data is more abundant, for instance, in the form of proximity or communication data. So far, though, it could not be utilized to detect signed relations. In this paper, we show how the underlying signed relations can ...Working Paper -
Detecting Path Anomalies in Time Series Data on Networks
(2019)arXivThe unsupervised detection of anomalies in time series data has important applications, e.g., in user behavioural modelling, fraud detection, and cybersecurity. Anomaly detection has been extensively studied in categorical sequences, however we often have access to time series data that contain paths through networks. Examples include transaction sequences in financial networks, click streams of users in networks of cross-referenced ...Working Paper -
Modeling the Impact of Environmental Consciousness on the Supply-Demand Relationship between Firms and Customers
(2023)SSRNAn increasing environmental consciousness of customers can become a strong incentive for firms to supply environmental-friendly products. If these products are not available, supply-demand deficits emerge. We use an agent-based model with an underlying network topology to study different scenarios for mitigating these deficits. Both customers and firms can adjust their tolerance level for environmental pollution, but customers can also ...Working Paper