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View article: Journal Publications in Medicine: Ranking vs. Interdisciplinarity
Journal Publications in Medicine: Ranking vs. Interdisciplinarity Open
Interdisciplinary research is critical for innovation and addressing complex societal issues. We characterise the interdisciplinary knowledge structure of PubMed research articles in medicine as correlation networks of medical concepts and…
View article: When not to target negative ties? Studying competitive influence maximisation in signed networks
When not to target negative ties? Studying competitive influence maximisation in signed networks Open
We explore the influence maximisation problem in networks with negative ties. Where prior work has focused on unsigned networks, we investigate the need to consider negative ties in networks while trying to maximise spread in a population …
View article: Integration vs segregation: Network analysis of interdisciplinarity in funded and unfunded research on infectious diseases
Integration vs segregation: Network analysis of interdisciplinarity in funded and unfunded research on infectious diseases Open
Interdisciplinary research fuels innovation. In this paper, we examine the interdisciplinarity of research output driven by funding. Considering 36 major infectious diseases, we model interdisciplinarity through temporal correlation networ…
View article: Integration vs segregation: network analysis of interdisciplinarity in funded and unfunded research on infectious diseases
Integration vs segregation: network analysis of interdisciplinarity in funded and unfunded research on infectious diseases Open
Interdisciplinary research fuels innovation. In this paper, we examine the interdisciplinarity of research output driven by funding. Considering 36 major infectious diseases, we model interdisciplinarity through temporal correlation networ…
View article: Enhanced network inference from sparse incomplete time series through automatically adapted $$L_1$$ regularization
Enhanced network inference from sparse incomplete time series through automatically adapted $$L_1$$ regularization Open
Reconstructing dynamics of complex systems from sparse, incomplete time series data is a challenging problem with applications in various domains. Here, we develop an iterative heuristic method to infer the underlying network structure and…
View article: An agent-based model of school tracking, accountability, and segregation
An agent-based model of school tracking, accountability, and segregation Open
Extant research on the effect of education system characteristics on school socio-economic segregation does not consider education as a complex system. This paper’s contribution lies in using agent-based modelling to simulate the effect of…
View article: Accelerating convergence of inference in the inverse Ising problem
Accelerating convergence of inference in the inverse Ising problem Open
Inferring modelling parameters of dynamical processes from observational data is an important inverse problem in statistical physics. In this paper, instead of passively observing the dynamics for inference, we focus on strategically manip…
View article: Opinion Dynamics Explain Price Formation in Prediction Markets
Opinion Dynamics Explain Price Formation in Prediction Markets Open
Prediction markets are heralded as powerful forecasting tools, but models that describe them often fail to capture the full complexity of the underlying mechanisms that drive price dynamics. To address this issue, we propose a model in whi…
View article: Opinion Dynamics Explain Price Formation in Prediction Markets
Opinion Dynamics Explain Price Formation in Prediction Markets Open
Prediction markets are heralded as powerful forecasting tools, but models to describe them often fail to capture the full complexity of the underlying mechanisms that drive price dynamics. To address this issue, we propose a model in which…
View article: On the evolutionary language game in structured and adaptive populations
On the evolutionary language game in structured and adaptive populations Open
We propose an evolutionary model for the emergence of shared linguistic convention in a population of agents whose social structure is modelled by complex networks. Through agent-based simulations, we show a process of convergence towards …
View article: Sensing Enhancement on Social Networks: The Role of Network Topology
Sensing Enhancement on Social Networks: The Role of Network Topology Open
Sensing and processing information from dynamically changing environments is essential for the survival of animal collectives and the functioning of human society. In this context, previous work has shown that communication between network…
View article: Control Meets Inference: Using Network Control to Uncover the Behaviour of Opponents
Control Meets Inference: Using Network Control to Uncover the Behaviour of Opponents Open
Using observational data to infer the coupling structure or parameters in dynamical systems is important in many real-world applications. In this paper, we propose a framework of strategically influencing a dynamical process that generates…
View article: Shadowing and shielding: Effective heuristics for continuous influence maximisation in the voting dynamics
Shadowing and shielding: Effective heuristics for continuous influence maximisation in the voting dynamics Open
Influence maximisation, or how to affect the intrinsic opinion dynamics of a social group, is relevant for many applications, such as information campaigns, political competition, or marketing. Previous literature on influence maximisation…
View article: Optimising structure in a networked Lanchester model for fires and manoeuvre in warfare
Optimising structure in a networked Lanchester model for fires and manoeuvre in warfare Open
We present a generalisation of the classical Lanchester model for directed fire between two combat forces but now employing networks for the manoeuvre of Blue and Red forces, and the pattern of engagement between the two. The model therefo…
View article: Influencing the dynamics of correlated opinions in the voter model on multiplex networks
Influencing the dynamics of correlated opinions in the voter model on multiplex networks Open
Processes of opinion formation have found much attention in the recent literature on complex systems and networks [2]. Whereas many studies have considered the spread of opinions on a single network, recognition of, in particular, the mult…
View article: Competitive influence maximisation using voting dynamics
Competitive influence maximisation using voting dynamics Open
We identify optimal strategies for maximising influence within a social network in competitive settings under budget constraints. While existing work has focussed on simple threshold models, we consider more realistic settings, where (i) s…
View article: How does active participation effect consensus: Adaptive network model of opinion dynamics and influence maximizing rewiring
How does active participation effect consensus: Adaptive network model of opinion dynamics and influence maximizing rewiring Open
In this paper we study the impact of active participation -- or deliberately seeking out other agents with an aim to convince them -- on the dynamics of consensus formation. For this purpose, we propose an adaptive network model in which t…
View article: How Does Active Participation Affect Consensus: Adaptive Network Model of Opinion Dynamics and Influence Maximizing Rewiring
How Does Active Participation Affect Consensus: Adaptive Network Model of Opinion Dynamics and Influence Maximizing Rewiring Open
In this paper we study the impact of active participation, or deliberately seeking out other agents with an aim of convincing them, on the dynamics of consensus formation. For this purpose, we propose an adaptive network model in which two…
View article: Estimating Determinants of Attrition in Eating Disorder Communities on Twitter: An Instrumental Variables Approach
Estimating Determinants of Attrition in Eating Disorder Communities on Twitter: An Instrumental Variables Approach Open
Background The use of social media as a key health information source has increased steadily among people affected by eating disorders (EDs). Research has examined characteristics of individuals engaging in online communities, whereas litt…
View article: Taylor's power law captures the effects of environmental variability on community structure: An example from fishes in the North Sea
Taylor's power law captures the effects of environmental variability on community structure: An example from fishes in the North Sea Open
Taylor's power law ( TPL ) describes the relationship between the mean and variance in abundance of populations, with the power law exponent considered a measure of aggregation. However, the usefulness of TPL exponents as an ecological met…
View article: Social interactions in online eating disorder communities: A network perspective
Social interactions in online eating disorder communities: A network perspective Open
Online health communities facilitate communication among people with health problems. Most prior studies focus on examining characteristics of these communities in sharing content, while limited work has explored social interactions betwee…
View article: Estimating Determinants of Attrition in Online Eating Disorder Community: An Instrumental Variables Approach (Preprint)
Estimating Determinants of Attrition in Online Eating Disorder Community: An Instrumental Variables Approach (Preprint) Open
BACKGROUND The use of social media as key health-information source has increased steadily among people affected by eating disorders. Intensive research has examined characteristics of individuals engaging in online communities, while lit…
View article: Resisting Influence: How the Strength of Predispositions to Resist Control Can Change Strategies for Optimal Opinion Control in the Voter Model
Resisting Influence: How the Strength of Predispositions to Resist Control Can Change Strategies for Optimal Opinion Control in the Voter Model Open
In this paper, we investigate influence maximization, or optimal opinion control, in a modified version of the two-state voter dynamics in which a native state and a controlled or influenced state are accounted for. We include agent predis…
View article: The Dynamics of Human–Environment Interactions in the Collapse of the Classic Maya
The Dynamics of Human–Environment Interactions in the Collapse of the Classic Maya Open
In this study we investigate the societal development of the Maya in the Southern Lowlands over a span of approximately 1400 years and explore whether societal dynamics linked to the depletion of natural resources can explain the rise and …