17 hasil untuk "Max Falkenberg"
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Artikel Jurnal
Heterogeneous node copying from hidden network structure
Node duplication is an established model of network formation, whereby an existing node is duplicated, and edges are formed with uniform probability to the neighbours of the duplicated node. Here, the author proposes a copying model where links are copied depending on hidden interactions between…
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How language, culture, and geography shape online dialogue: Insights from Koo.
Founded in India in 2020, the microblogging site 'Koo' launched as an alternative to mainstream social media platforms, with the explicit aim of catering to non-Western communities in their vernacular languages, and capitalising on a period of tension between the Indian government and Twitter which…
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Relative engagement with sources of climate misinformation is growing across social media platforms
Abstract We explore the discourse on climate change across multiple social media platforms, examining the evolution of user engagement with climate-related content and whether this content links to reliable or unreliable news media sources. Through a detailed examination of over 20 million posts on…
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Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation
Mapping resolution has recently been identified as a key limitation in successfully locating the drivers of atrial fibrillation (AF). Using a simple cellular automata model of AF, we demonstrate a method by which re-entrant drivers can be located quickly and accurately using a collection of…
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Patterns of partisan toxicity and engagement reveal the common structure of online political communication across countries
Abstract Existing studies of political polarization are often limited to a single country and one form of polarization, hindering a comprehensive understanding of the phenomenon. Here we investigate patterns of polarization online across nine countries (Canada, France, Germany, Italy, Poland…
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How does extreme weather impact the climate change discourse? Insights from the Twitter discussion on hurricanes
The public understanding of climate change plays a critical role in translating climate science into climate action. In the public discourse, climate impacts are often discussed in the context of extreme weather events. Here, we analyse 65 million Twitter posts and 240 thousand news media articles…
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Understanding the transition from paroxysmal to persistent atrial fibrillation
Atrial fibrillation (AF) is the most common cardiac arrhytmia, characterized by the chaotic motion of electrical wavefronts in the atria. In clinical practice, AF is classified under two primary categories: paroxysmal AF, short intermittent episodes separated by periods of normal electrical…
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Growing polarization around climate change on social media
Abstract Climate change and political polarization are two of the twenty-first century’s critical socio-political issues. Here we investigate their intersection by studying the discussion around the United Nations Conference of the Parties on Climate Change (COP) using Twitter data from 2014 to…
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Ideology and polarization set the agenda on social media
Abstract The abundance of information on social media has reshaped public discussions, shifting attention to the mechanisms that drive online discourse. This study analyzes large-scale Twitter (now X) data from three global debates—Climate Change, COVID-19, and the Russo-Ukrainian War—to…
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Identifying time dependence in network growth
Identifying power-law scaling in real networks—indicative of preferential attachment—has proved controversial. Critics argue that measuring the temporal evolution of a network directly is better than measuring the degree distribution when looking for preferential attachment. However, many of the…
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Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps
Micro-anatomical reentry has been identified as a potential driver of atrial fibrillation (AF). In this paper, we introduce a novel computational method which aims to identify which atrial regions are most susceptible to micro-reentry. The approach, which considers the structural basis for…
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Artikel Jurnal
Generative AI for climate governance and acceptability-constrained policy design
Abstract Climate policies often fail when they clash with cultural values, social identities, and fairness perceptions. We propose Acceptability-Constrained Climate Policy Design (ACCPD), using large language models as “cultural world models” to simulate public responses before implementation. By…
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Toward an integrated and globally equitable understanding of political polarization
Abstract Political polarization poses major societal risks, yet a globally relevant, interdisciplinary understanding remains lacking, as nearly half of all studies focus on the United States. We argue for renewed effort to bring global equity to polarization research, highlighting insights robust…