Sven Banisch

Sven Banisch
Karlsruhe Institute of Technology | KIT · Institute of Technology Futures

Dr.

About

56
Publications
12,009
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
395
Citations
Additional affiliations
January 2010 - January 2013
Bielefeld University
Position
  • Research Assistant
January 2010 - April 2014
Bielefeld University
Position
  • PhD Student
July 2005 - July 2006
Bauhaus-Universität Weimar
Position
  • Research Assistant

Publications

Publications (56)
Chapter
Full-text available
This is the final chapter of the book "Networks - Performance - Culture: transdisciplinary perspectives and interrelations" (Eds: Daniel Reupke, Sven Banisch, Meike Beyer, Philip Roth und Julia Thibaut.). It is an attempt to synthesize and reflect on the heterogeneous set of previous chapters most of which resulting from the conference "Netzwerke -...
Poster
Full-text available
This infographic is the result of an experimental student project realized in the winter term 2021/22 at the Karlsruhe Institut for Technology. The aim of the seminar was to explore the parliamentary speeches of 19th legislative period of the German Bundestag through the lens of NLP tools and semantic networks.
Article
Full-text available
[This corrects the article DOI: 10.3389/fdata.2021.731349.].
Book
Spätestens seit der kulturellen Wende in der Netzwerkforschung besteht mehr oder weniger Konsens darüber, dass Netzwerke und Kultur in einem starken Abhängigkeitsverhältnis zueinander stehen. Aus unterschiedlichen Forschungsperspektiven wird die Beziehung zwischen Netzwerken und Kultur seither auf theoretische wie methodische Implikationen geprüft,...
Preprint
Full-text available
Force-directed layout algorithms are ubiquitously-used tools for network visualization across a variety of scientific disciplines. However, they lack theoretical grounding which allows to interpret their outcomes rigorously. We propose an approach building on latent space network models, which assume that the probability of nodes forming a tie depe...
Article
Full-text available
Rising political polarization in recent decades has hampered and gridlocked policymaking, as well as weakened trust in democratic institutions. These developments have been linked to the idea that new media technology fosters extreme views and political conflict by facilitating self-segregation into "echo chambers" where opinions are isolated and r...
Article
Full-text available
The paper explores the notion of a reconfiguration of political space in the context of the rise of populism and its effects on the political system. We focus on Germany and the appearance of the new right wing party “Alternative for Germany” (AfD). The idea of a political space is closely connected to the ubiquitous use of spatial metaphors in pol...
Preprint
Full-text available
The paper explores the notion of a reconfiguration of political space in the context of the rise of populism and its effects on the political system. We focus on Germany and the appearance of the new right wing party "Alternative for Germany" (AfD). Many scholars of politics discuss the rise of the new populism in Western Europe and the US with res...
Preprint
Full-text available
We combine empirical experimental research on biased argument processing with a computational theory of group deliberation in order to clarify the role of biased processing in debates around energy. The experiment reveals a strong tendency to consider arguments aligned with the current attitude more persuasive and to downgrade those speaking agains...
Article
Full-text available
We present an open-source interface for scientists to explore Twitter data through interactive network visualizations. Combining data collection, transformation and visualization in one easily accessible framework, the twitter explorer connects distant and close reading of Twitter data through the interactive exploration of interaction networks and...
Article
Full-text available
This article analyses public debate on Twitter via network representations of retweets and replies. We argue that tweets observable on Twitter have both a direct and mediated effect on the perception of public opinion. Through the interplay of the two networks, it is possible to identify potentially misleading representations of public opinion on t...
Article
Full-text available
This multi-level model of opinion formation considers that attitudes on different issues are usually not independent. In the model, agents exchange beliefs regarding a series of facts. A cognitive structure of evaluative associations links different (partially overlapping) sets of facts on different political issues and determines agents’ attitudinal...
Preprint
This article analyses public debate on Twitter via network representations of retweets and replies. We argue that tweets observable on Twitter have both a direct and mediated effect on the perception of public opinion. On this basis, we show that through the interplay of the two network representations, it is possible to investigate which opinion g...
Preprint
Full-text available
What are the mechanisms by which groups with certain opinions gain public voice and force others holding a different view into silence? And how does social media play into this? Drawing on recent neuro-scientific insights into the processing of social feedback, we develop a theoretical model that allows to address these questions. The model capture...
Preprint
Full-text available
We present an open-source interface for scientists to explore Twitter data through interactive network visualizations. Combining data collection, transformation and visualization in one easily accessible framework, the twitter explorer connects distant and close reading of Twitter data through the interactive exploration of interaction networks and...
Preprint
Full-text available
Modelling efforts in opinion dynamics have to a large extent ignored that opinion exchange between individuals can also have an effect on how willing they are to express their opinion publicly. Here, we introduce a model of public opinion expression. Two groups of agents with different opinion on an issue interact with each other, changing the will...
Preprint
Full-text available
News website comment sections are spaces where potentially conflicting opinions and beliefs are voiced. Addressing questions of how to study such cultural and societal conflicts through technological means, the present article critically examines possibilities and limitations of machine-guided exploration and potential facilitation of on-line opini...
Article
Full-text available
We explore a new mechanism to explain polarization phenomena in opinion dynamics. The model is based on the idea that agents evaluate alternative views on the basis of the social feedback obtained on expressing them. A high support of the favored and therefore expressed opinion in the social environment, is treated as a positive social feedback whi...
Preprint
Full-text available
A multi-level model of opinion formation is presented which takes into account that attitudes on different issues are usually not independent. In the model, agents exchange beliefs regarding a series of facts. A cognitive structure of evaluative associations links different (partially overlapping) sets of facts to different political issues and det...
Poster
Full-text available
Motivationale Kongruenz entsteht, wenn Menschen ihre motivationalen Ziele (z.B. gemocht werden oder autonom sein) in ihrer Umwelt erfolgreich realisieren können. Gelingt dies nicht und verbleibt eine Diskrepanz zwischen motivationalen Zielen und Wahrnehmung entsteht Inkongruenz, die als eine Ursache für die Entstehung und Aufrechterhaltung von Psyc...
Chapter
This work is a contribution to interweaving two lines of research that have developed in almost separate ways: Markov chains and agent-based models (ABMs). The former represents one of the simplest forms of a stochastic process while the latter puts a strong emphasis on heterogeneity and social interactions. This chapter provides an introduction to...
Chapter
This book presents a Markov chain approach for the analysis of agent-based models (ABMs). It provides a general framework of aggregation in agent-based and related computational models by making use of Markov chain aggregation and lumpability theory in order to link between the micro-level dynamical behavior and higher-level processes defined by ma...
Chapter
This chapter is an attempt to synthesize some of the thoughts that have been developed throughout this work and relate them to computational accounts of emergence. While more specific problems concerning the methods developed in the previous chapters—their limitations and possible generalizations—have been discussed at the end of each chapter, this...
Chapter
This chapter is devoted to the study of a non-Markovian case building upon the analysis of the contrarian voter model (CVM) discussed in the previous chapter. As noted earlier, two things may happen by projecting the microscopic Markov chain associated to an agent-based model (ABM) onto a coarser partition. First, the macro process is still a Marko...
Chapter
This chapter spells out the most important theoretical ideas developed in this book. However, it begins with an illustrative introductory description of agent-based models (ABMs) in order to provide an intuition for what follows. It then shows for a class of ABMs that, at the micro level, they give rise to random walks on regular graphs (Sect. 3.2)...
Chapter
In this chapter, the results from the previous chapters are applied to the contrarian voter model (CVM from now on). This model is an extension of the VM which accounts for so-called contrarian behavior. Contrarian behavior relates to the presence of individuals that do not seek conformity under all circumstances or to the existence of certain situ...
Article
Full-text available
In this paper, we develop an agent-based version of the Diamond search equilibrium model - also called Coconut Model. In this model, agents are faced with production decisions that have to be evaluated based on their expectations about the future utility of the produced entity which in turn depends on the global production level via a trading mecha...
Article
Because the dynamics of complex systems is the result of both decisive local events and reinforced global effects, the prediction of such systems could not do without a genuine multilevel approach. This paper proposes to found such an approach on information theory. Starting from a complete microscopic description of the system dynamics, we are loo...
Article
Full-text available
As Physics did in previous centuries, there is currently a common dream of extracting generic laws of nature in economics, sociology, neuroscience, by focalising the description of phenomena to a minimal set of variables and parameters, linked together by causal equations of evolution whose structure may reveal hidden principles. This requires a hu...
Article
Network-based approaches play an increasingly important role in the analysis of data even in systems in which a network representation is not immediately apparent. This is particularly true for linguistic networks, which use to be induced from a linguistic data set for which a network perspective is only one out of several options for representatio...
Book
This self-contained text develops a Markov chain approach that makes the rigorous analysis of a class of microscopic models that specify the dynamics of complex systems at the individual level possible. It presents a general framework of aggregation in agent-based and related computational models, one which makes use of lumpability and information...
Chapter
This chapter is devoted to the analysis of a simple opinion model in order to illustrate the ideas developed in the previous chapter. The projection from micro to macro emphasizes the particular role played by homogeneous mixing as a requirement for the Markovianity of the projected model. We present a Markov chain analysis of the binary voter mode...
Chapter
In the third chapter, we have seen that an agent-based model (ABM) defines a process of change at the individual level—a micro process—by which in each time step one configuration of individuals is transformed into another configuration. For a class of models we have shown this micro process to be a Markov chain on the space of all possible agent c...
Chapter
Full-text available
In this chapter, we inspect well-known population genetics and social dynamics models. In these models, interacting individuals, while participating in a self-organizing process, give rise to the emergence of complex behaviors and patterns. While one main focus in population genetics is on the adaptive behavior of a population, social dynamics is m...
Research
Full-text available
Abstract. For Agent Based Models, in particular the Voter Model (VM), a general framework of aggregation is developed which exploits the symmetries of the agent network G. Depending on the symmetry group Aut!(N) of the weighted agent network, certain ensembles of agent configurations can be interchanged without affecting the dynamical properties of...
Article
For Agent-based models, in particular the Voter Model (VM), a general framework of aggregation is developed which exploits the symmetries of the agent network G. Depending on the symmetry group Aut ω (N) of the weighted agent network, certain ensembles of agent configurations can be interchanged without affecting the dynamical properties of the VM....
Book
The aim of this book is to advocate and promote network models of linguistic systems that are both based on thorough mathematical models and substantiated in terms of linguistics. In this way, the book contributes first steps towards establishing a statistical network theory as a theoretical basis of linguistic network analysis the boarder of the n...
Article
Full-text available
An analytical treatment of a simple opinion model with contrarian behavior is presented. The focus is on the stationary dynamics of the model and in particular on the effect of inhomogeneities in the interaction topology on the stationary behavior. We start from a micro-level Markov chain description of the model. Markov chain aggregation is then...
Article
Full-text available
This paper describes a formalization of agent-based models (ABMs) as random walks on regular graphs and relates the symmetry group of those graphs to a coarse-graining of the ABM that is still Markovian. An ABM in which $N$ agents can be in $\delta$ different states leads to a Markov chain with $\delta^N$ states. In ABMs with a sequential update sc...
Thesis
Full-text available
This thesis introduces a Markov chain approach that allows a rigorous analysis of a class of agent-based models (ABMs). It provides a general framework of aggregation in agent-based and related computational models by making use of Markov chain aggregation and lumpability theory in order to link between the micro and the macro level of observation....
Chapter
Full-text available
Die Wissenschaft befindet sich in einer Periode, in der Interdisziplinarität eine immer wichtigere Rolle spielt. Dies bezieht sich nicht nur auf verhältnismäßig nahe Gebiete wie etwa Biologie und Chemie (= Biochemie) oder Soziologie und Psychologie (= Sozialpsychologie), sondern auch und gerade auf Interaktionen, die über die Grenzen zwischen den N...
Article
Full-text available
A general framework of aggregation for the Voter Model (VM) is developed which exploits the symmetries of the agent network $G$. Depending on the symmetry group $Aut(G)$ of the graph, certain ensembles of agent configurations can be interchanged without affecting the probabilistic structure of the VM. These nodes can be aggregated into the same mac...
Article
Full-text available
We analyze the dynamics of agent--based models (ABMs) from a Markovian perspective and derive explicit statements about the possibility of linking a microscopic agent model to the dynamical processes of macroscopic observables that are useful for a precise understanding of the model dynamics. In this way the dynamics of collective variables may be...
Article
Full-text available
In this paper, we inspect well-known population genetics and social dynamics models. In these models, interacting individuals, while participating in a self-organizing process, give rise to the emergence of complex behaviors and patterns. While one main focus in population genetics is on the adaptive behavior of a population, social dynamics is mor...
Article
This paper introduces a Markov chain approach that allows a rigorous analysis of agent based opinion dynamics as well as other related agent based models (ABM). By viewing the ABM dynamics as a micro description of the process, we show how the corresponding macro description is obtained by a projection construction. Then, well known conditions for...
Article
Full-text available
While the number and variety of models to explain opinion exchange dynamics is huge, attempts to justify the model results using empirical data are relatively rare. As linking to real data is essential for establishing model credibility, this Letter develops an empirical confirmation experiment by which an opinion model is related to real election...
Article
Full-text available
This paper examines the interplay of opinion exchange dynamics and communication network formation. An opinion formation procedure is introduced which is based on an abstract representation of opinions as k-dimensional bit-strings. Individuals interact if the difference in the opinion strings is below a defined similarity threshold dI. Depending on...
Conference Paper
Full-text available
This paper describes an interactive software tool for the visualisation and the design of artistic fractal images. The software (called AttractOrAnalyst) implements a fast algorithm for the visualisation of basins of attraction of iterated function systems, many of which show fractal properties. It also presents an intuitive technique for fractal s...
Conference Paper
Children television productions have been using puppets for a long time. Since the early days of computer ani- mation, computer puppet simulation has been researched intensively. Complex motion capture equipment allows nowadays the real time mapping of movement for virtual puppets (performance animation). However, the costs of capturing equipment a...
Article
Full-text available
This paper introduces physical laws into the real-time animation of fur and grass. The main idea to achieve this, is to combine shell-based rendering with a mass-spring system. In a preprocessing step, a volume array is filled with the structure of fur and grass by a method based on exponential functions. The volumetric data is used to generate a s...

Network

Cited By

Projects

Projects (2)
Project
In this research project, an integrated theory of the laws of linguistic networking is being developed. The project develops methods and instruments for the analysis and synthesis of complex linguistic networks that connect information processing with social networking and its linguistic resources. The aim is to create network models of natural languages based on both thorough mathematical models and well-founded linguistic theories. The project thus contributes to the establishment of a statistical network theory as a theoretical basis for linguistic network analysis at the borders of the natural sciences and humanities. This covers all areas of linguistics, from phonological, morphological and lexical systems on the one hand to syntactic, semantic and pragmatic systems on the other. In this sense, the project involves many disciplines such as linguistics, physics and computer science. This also applies to the emerging field of systems biology, with which the project shares the concept of systems from the perspective of complex network theory.
Project
The project aims at a better understanding of the mechanisms and dynamics of information circulating in social media and digital news. To achieve this goal it will combine methods from game theory, complex networks, dynamical systems and text analysis. Funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732942. www.odycceus.eu