For over a decade, complex networks have been applied to mythological texts in order to quantitatively compare them. This has allowed us to identify similarities between texts in different cultures, as well as to quantify the significance of some heroic characters. Analysing a full mythology of a culture requires gathering data from many individual myths which is time consuming and often impractical. In this work, we attempt to bypass this by analysing the network of characters in a dictionary of mythological characters. We show that the top characters identified by different centrality measures are consistent with central figures in the Irish sagas. Although much of Irish mythology has been lost, we demonstrate that these most central characters are highly robust to a large random removal of edges.
{"title":"Quantifying the role of supernatural entities and the effect of missing data in Irish sagas","authors":"P. MacCarron","doi":"arxiv-2409.12071","DOIUrl":"https://doi.org/arxiv-2409.12071","url":null,"abstract":"For over a decade, complex networks have been applied to mythological texts\u0000in order to quantitatively compare them. This has allowed us to identify\u0000similarities between texts in different cultures, as well as to quantify the\u0000significance of some heroic characters. Analysing a full mythology of a culture\u0000requires gathering data from many individual myths which is time consuming and\u0000often impractical. In this work, we attempt to bypass this by analysing the\u0000network of characters in a dictionary of mythological characters. We show that\u0000the top characters identified by different centrality measures are consistent\u0000with central figures in the Irish sagas. Although much of Irish mythology has\u0000been lost, we demonstrate that these most central characters are highly robust\u0000to a large random removal of edges.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juliane Adrian, Ann Katrin Boomers, Sarah Paetzke, Armin Seyfried
Since the beginning of the century, capturing trajectories of pedestrian streams precisely from video recordings has been possible. To enable measurements at high density, the heads of the pedestrians are marked and tracked, thus providing a complete representation of the phase space. However, classical definitions and local measurements of flow, density, and velocity of pedestrian streams using trajectories are based on different segments in phase space (Lagrangian representation). The flow is defined as an average value over time, while the density is defined as the average value of an area. This leads to inconsistencies in central relations, such as the flow equation or the fundamental diagram. These have a particular effect in inhomogeneous states, such as the stop-and-go waves, where, in addition, the pedestrians do not change their position in the stop phase, but the head of the body moves. In order to obtain a local and spatio-temporally consistent measurement of the quantities flow, density, and velocity while ensuring particle number conservation fields (Euler representation) and the continuity equation could be used. To map trajectories of pedestrians heads parameter free and unambiguously to fields, this article introduces a method based on the Voronoi decomposition. These new definitions of flow, density, speed, and the particle number conserving flow equation are consistent with classical measurements. They are able to scrutinise inconsistencies in the state of the art of pedestrian fundamental diagrams.
{"title":"Continuity equation and fundamental diagram of pedestrians","authors":"Juliane Adrian, Ann Katrin Boomers, Sarah Paetzke, Armin Seyfried","doi":"arxiv-2409.11857","DOIUrl":"https://doi.org/arxiv-2409.11857","url":null,"abstract":"Since the beginning of the century, capturing trajectories of pedestrian\u0000streams precisely from video recordings has been possible. To enable\u0000measurements at high density, the heads of the pedestrians are marked and\u0000tracked, thus providing a complete representation of the phase space. However,\u0000classical definitions and local measurements of flow, density, and velocity of\u0000pedestrian streams using trajectories are based on different segments in phase\u0000space (Lagrangian representation). The flow is defined as an average value over\u0000time, while the density is defined as the average value of an area. This leads\u0000to inconsistencies in central relations, such as the flow equation or the\u0000fundamental diagram. These have a particular effect in inhomogeneous states,\u0000such as the stop-and-go waves, where, in addition, the pedestrians do not\u0000change their position in the stop phase, but the head of the body moves. In\u0000order to obtain a local and spatio-temporally consistent measurement of the\u0000quantities flow, density, and velocity while ensuring particle number\u0000conservation fields (Euler representation) and the continuity equation could be\u0000used. To map trajectories of pedestrians heads parameter free and unambiguously\u0000to fields, this article introduces a method based on the Voronoi decomposition.\u0000These new definitions of flow, density, speed, and the particle number\u0000conserving flow equation are consistent with classical measurements. They are\u0000able to scrutinise inconsistencies in the state of the art of pedestrian\u0000fundamental diagrams.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The inspiration behind this paper came from both authors' long-term collaboration with our friend and colleague, Professor Ralph Kenna. This connection emerged initially through his interest in Rathcroghan and in our paper, `Exploring the Nature of the Fr'aoch Saga', which we concluded with the statement that we believed it `presents a case that will hopefully ignite conversation between disciplines'. This led us to consider the potential value for researchers of compiling a template list of useful and reliable sources and resources to consult, in other words a type of starter toolkit or guide for any individual from an alternative discipline or background, who might possess, or, in time, develop a personal or professional interest in Early Ireland and Early Irish literature. In doing this, we decided for ease of illustration, to take the example of the location name Rathcroghan/Cruachan A'i, (the prehistoric Royal Site of Connacht in the west of Ireland and the place that we both work in and interact with on a daily basis), as a case study in order to demonstrate an initial methodological approach to not only the types of resources and information available, but also to highlight some potential pitfalls that may arise in the course of an investigation.
这篇论文的灵感来源于两位作者与我们的朋友兼同事拉尔夫-肯纳（Ralph Kenna）教授的长期合作。这种联系最初是通过他对拉斯克罗根以及我们的论文《探索 Fr'aoch 传奇的本质》的兴趣而产生的，我们在论文的结尾说，我们相信这篇论文 "提出了一个有望引发学科间对话的案例"。这促使我们考虑编纂一份有用、可靠的资料来源和资源参考模板清单对研究人员的潜在价值，换句话说，这是为任何来自其他学科或背景的个人提供的入门工具包或指南，这些人可能会对早期爱尔兰和早期爱尔兰文学感兴趣，或者随着时间的推移会产生个人或专业兴趣。为了便于说明，我们决定以 Rathcroghan/Cruachan A'i 这个地名（爱尔兰西部康纳赫特的史前皇家遗址，也是我们工作和日常交流的地方）为例进行案例研究，以展示一种初步的方法论，不仅可以获得资源和信息的类型，还可以强调调查过程中可能出现的一些潜在陷阱。
{"title":"Crossing the disciplines -- a starter toolkit for researchers who wish to explore early Irish literature","authors":"M. McCarthy, D. P. Curley","doi":"arxiv-2409.11858","DOIUrl":"https://doi.org/arxiv-2409.11858","url":null,"abstract":"The inspiration behind this paper came from both authors' long-term\u0000collaboration with our friend and colleague, Professor Ralph Kenna. This\u0000connection emerged initially through his interest in Rathcroghan and in our\u0000paper, `Exploring the Nature of the Fr'aoch Saga', which we concluded with the\u0000statement that we believed it `presents a case that will hopefully ignite\u0000conversation between disciplines'. This led us to consider the potential value\u0000for researchers of compiling a template list of useful and reliable sources and\u0000resources to consult, in other words a type of starter toolkit or guide for any\u0000individual from an alternative discipline or background, who might possess, or,\u0000in time, develop a personal or professional interest in Early Ireland and Early\u0000Irish literature. In doing this, we decided for ease of illustration, to take\u0000the example of the location name Rathcroghan/Cruachan A'i, (the prehistoric\u0000Royal Site of Connacht in the west of Ireland and the place that we both work\u0000in and interact with on a daily basis), as a case study in order to demonstrate\u0000an initial methodological approach to not only the types of resources and\u0000information available, but also to highlight some potential pitfalls that may\u0000arise in the course of an investigation.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fernanda R. Leivas, Heitor C. M. Fernandes, Mendeli H. Vaintein
In diluted lattices, cooperation is often enhanced at specific densities, particularly near the percolation threshold for stochastic updating rules. However, the Replicator rule, despite being probabilistic, does not follow this trend. We find that this anomalous behavior is caused by structures formed by holes and defectors, which prevent some agents from experiencing fluctuations, thereby restricting the free flow of information across the network. As a result, the system becomes trapped in a frozen state, though this can be disrupted by introducing perturbations. Finally, we provide a more quantitative analysis of the relationship between the percolation threshold and cooperation, tracking its development within clusters of varying sizes and demonstrating how the percolation threshold shapes the fundamental structures of the lattice.
{"title":"Anomalous behavior of Replicator dynamics for the Prisoner's Dilemma on diluted lattices","authors":"Fernanda R. Leivas, Heitor C. M. Fernandes, Mendeli H. Vaintein","doi":"arxiv-2409.11955","DOIUrl":"https://doi.org/arxiv-2409.11955","url":null,"abstract":"In diluted lattices, cooperation is often enhanced at specific densities,\u0000particularly near the percolation threshold for stochastic updating rules.\u0000However, the Replicator rule, despite being probabilistic, does not follow this\u0000trend. We find that this anomalous behavior is caused by structures formed by\u0000holes and defectors, which prevent some agents from experiencing fluctuations,\u0000thereby restricting the free flow of information across the network. As a\u0000result, the system becomes trapped in a frozen state, though this can be\u0000disrupted by introducing perturbations. Finally, we provide a more quantitative\u0000analysis of the relationship between the percolation threshold and cooperation,\u0000tracking its development within clusters of varying sizes and demonstrating how\u0000the percolation threshold shapes the fundamental structures of the lattice.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social groups have been studied throughout history to understand how different configurations impact those within them. Along with this came the interest in investigating social groups of both fictional and mythological works. Over the last decade these social groups have been studied through the lens of network science allowing for a new level of comparison between these stories. We use this approach to focus on the attributes of the characters within these networks, specifically looking at their gender. With this we review how the female populations within various narratives and to some extent the societies they are based in are portrayed. Through this we find that although there is not a trend of all narratives of the same origin having similar levels of representation some are noticeably better than others. We also observe which narratives overall prioritise important female characters and which do not.
{"title":"Female representation across mythologies","authors":"M. Janickyj, P. MacCarron, J. Yose, R. Kenna","doi":"arxiv-2409.11482","DOIUrl":"https://doi.org/arxiv-2409.11482","url":null,"abstract":"Social groups have been studied throughout history to understand how\u0000different configurations impact those within them. Along with this came the\u0000interest in investigating social groups of both fictional and mythological\u0000works. Over the last decade these social groups have been studied through the\u0000lens of network science allowing for a new level of comparison between these\u0000stories. We use this approach to focus on the attributes of the characters\u0000within these networks, specifically looking at their gender. With this we\u0000review how the female populations within various narratives and to some extent\u0000the societies they are based in are portrayed. Through this we find that\u0000although there is not a trend of all narratives of the same origin having\u0000similar levels of representation some are noticeably better than others. We\u0000also observe which narratives overall prioritise important female characters\u0000and which do not.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The subject of features normalization plays an important central role in data representation, characterization, visualization, analysis, comparison, classification, and modeling, as it can substantially influence and be influenced by all of these activities and respective aspects. The selection of an appropriate normalization method needs to take into account the type and characteristics of the involved features, the methods to be used subsequently for the just mentioned data processing, as well as the specific questions being considered. After briefly considering how normalization constitutes one of the many interrelated parts typically involved in data analysis and modeling, the present work addressed the important issue of feature normalization from the perspective of uniform and proportional (right skewed) features and comparison operations. More general right skewed features are also considered in an approximated manner. Several concepts, properties, and results are described and discussed, including the description of a duality relationship between uniform and proportional feature spaces and respective comparisons, specifying conditions for consistency between comparisons in each of the two domains. Two normalization possibilities based on non-centralized dispersion of features are also presented, and also described is a modified version of the Jaccard similarity index which incorporates intrinsically normalization. Preliminary experiments are presented in order to illustrate the developed concepts and methods.
{"title":"Normalization in Proportional Feature Spaces","authors":"Alexandre Benatti, Luciano da F. Costa","doi":"arxiv-2409.11389","DOIUrl":"https://doi.org/arxiv-2409.11389","url":null,"abstract":"The subject of features normalization plays an important central role in data\u0000representation, characterization, visualization, analysis, comparison,\u0000classification, and modeling, as it can substantially influence and be\u0000influenced by all of these activities and respective aspects. The selection of\u0000an appropriate normalization method needs to take into account the type and\u0000characteristics of the involved features, the methods to be used subsequently\u0000for the just mentioned data processing, as well as the specific questions being\u0000considered. After briefly considering how normalization constitutes one of the\u0000many interrelated parts typically involved in data analysis and modeling, the\u0000present work addressed the important issue of feature normalization from the\u0000perspective of uniform and proportional (right skewed) features and comparison\u0000operations. More general right skewed features are also considered in an\u0000approximated manner. Several concepts, properties, and results are described\u0000and discussed, including the description of a duality relationship between\u0000uniform and proportional feature spaces and respective comparisons, specifying\u0000conditions for consistency between comparisons in each of the two domains. Two\u0000normalization possibilities based on non-centralized dispersion of features are\u0000also presented, and also described is a modified version of the Jaccard\u0000similarity index which incorporates intrinsically normalization. Preliminary\u0000experiments are presented in order to illustrate the developed concepts and\u0000methods.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jolien Cremers, Benjamin Kohler, Benjamin Frank Maier, Stine Nymann Eriksen, Johanna Einsiedler, Frederik Kølby Christensen, Sune Lehmann, David Dreyer Lassen, Laust Hvas Mortensen, Andreas Bjerre-Nielsen
Social networks shape individuals' lives, influencing everything from career paths to health. This paper presents a registry-based, multi-layer and temporal network of the entire Danish population in the years 2008-2021 (roughly 7.2 mill. individuals). Our network maps the relationships formed through family, households, neighborhoods, colleagues and classmates. We outline key properties of this multiplex network, introducing both an individual-focused perspective as well as a bipartite representation. We show how to aggregate and combine the layers, and how to efficiently compute network measures such as shortest paths in large administrative networks. Our analysis reveals how past connections reappear later in other layers, that the number of relationships aggregated over time reflects the position in the income distribution, and that we can recover canonical shortest path length distributions when appropriately weighting connections. Along with the network data, we release a Python package that uses the bipartite network representation for efficient analysis.
{"title":"Unveiling the Social Fabric: A Temporal, Nation-Scale Social Network and its Characteristics","authors":"Jolien Cremers, Benjamin Kohler, Benjamin Frank Maier, Stine Nymann Eriksen, Johanna Einsiedler, Frederik Kølby Christensen, Sune Lehmann, David Dreyer Lassen, Laust Hvas Mortensen, Andreas Bjerre-Nielsen","doi":"arxiv-2409.11099","DOIUrl":"https://doi.org/arxiv-2409.11099","url":null,"abstract":"Social networks shape individuals' lives, influencing everything from career\u0000paths to health. This paper presents a registry-based, multi-layer and temporal\u0000network of the entire Danish population in the years 2008-2021 (roughly 7.2\u0000mill. individuals). Our network maps the relationships formed through family,\u0000households, neighborhoods, colleagues and classmates. We outline key properties\u0000of this multiplex network, introducing both an individual-focused perspective\u0000as well as a bipartite representation. We show how to aggregate and combine the\u0000layers, and how to efficiently compute network measures such as shortest paths\u0000in large administrative networks. Our analysis reveals how past connections\u0000reappear later in other layers, that the number of relationships aggregated\u0000over time reflects the position in the income distribution, and that we can\u0000recover canonical shortest path length distributions when appropriately\u0000weighting connections. Along with the network data, we release a Python package\u0000that uses the bipartite network representation for efficient analysis.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Synthetic opioids are the most common drugs involved in drug-involved overdose mortalities in the U.S. The Center for Disease Control and Prevention reported that in 2018, about 70% of all drug overdose deaths involved opioids and 67% of all opioid-involved deaths were accounted for by synthetic opioids. In this study, we investigated the spread of synthetic opioids between 2013 and 2020 in the U.S., and analyzed the relationship between the spatiotemporal pattern of synthetic opioid-involved deaths and another key opioid, heroin, and compared patterns of deaths involving these two types of drugs during this time period. Spatial connections between counties were incorporated into a graph convolutional neural network model to represent and analyze the spread of synthetic opioid-involved deaths, and in the context of heroin-involved deaths.
{"title":"Tracking the spatial dynamics of the synthetic opioid crisis in the USA, 2013-2020 using human mobility-based graph neural network","authors":"Zhiyue Xia, Kathleen Stewart","doi":"arxiv-2409.09945","DOIUrl":"https://doi.org/arxiv-2409.09945","url":null,"abstract":"Synthetic opioids are the most common drugs involved in drug-involved\u0000overdose mortalities in the U.S. The Center for Disease Control and Prevention\u0000reported that in 2018, about 70% of all drug overdose deaths involved opioids\u0000and 67% of all opioid-involved deaths were accounted for by synthetic opioids.\u0000In this study, we investigated the spread of synthetic opioids between 2013 and\u00002020 in the U.S., and analyzed the relationship between the spatiotemporal\u0000pattern of synthetic opioid-involved deaths and another key opioid, heroin, and\u0000compared patterns of deaths involving these two types of drugs during this time\u0000period. Spatial connections between counties were incorporated into a graph\u0000convolutional neural network model to represent and analyze the spread of\u0000synthetic opioid-involved deaths, and in the context of heroin-involved deaths.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We investigate a dynamical model of opinion formation in which an individual's opinion is influenced by interactions with a group of other agents. We introduce a bias towards one of the opinions in a manner not considered earlier to the best of our knowledge. When the bias is neutral, the model is reduced to a mean-field voter model. We analyze the behavior and steady states of the system, identifying three distinct regimes based on the bias level: one favoring negative opinions, one favoring positive opinions, and a neutral case. In large systems, the equilibrium properties become independent of the size of the group, indicating that only the bias influences the final outcome. However, for small groups, the time to reach equilibrium depends on the size of the group. Our results show that even a small initial bias leads to a consensus where all agents eventually share the same opinion when the bias is not neutral. The system exhibits universal behavior, with critical slowing down occurring near the neutral bias point, marking it as a critical dynamical threshold. The time required to reach consensus scales logarithmically when the bias is non-neutral and linearly when it is neutral. Although short-term dynamics depends on group size for small groups, long-term behavior is governed solely by the bias.
{"title":"Social Influence and Consensus Building: Introducing a q-Voter Model with Weighted Influence","authors":"Pratik Mullick, Parongama Sen","doi":"arxiv-2409.09817","DOIUrl":"https://doi.org/arxiv-2409.09817","url":null,"abstract":"We investigate a dynamical model of opinion formation in which an\u0000individual's opinion is influenced by interactions with a group of other\u0000agents. We introduce a bias towards one of the opinions in a manner not\u0000considered earlier to the best of our knowledge. When the bias is neutral, the\u0000model is reduced to a mean-field voter model. We analyze the behavior and\u0000steady states of the system, identifying three distinct regimes based on the\u0000bias level: one favoring negative opinions, one favoring positive opinions, and\u0000a neutral case. In large systems, the equilibrium properties become independent\u0000of the size of the group, indicating that only the bias influences the final\u0000outcome. However, for small groups, the time to reach equilibrium depends on\u0000the size of the group. Our results show that even a small initial bias leads to\u0000a consensus where all agents eventually share the same opinion when the bias is\u0000not neutral. The system exhibits universal behavior, with critical slowing down\u0000occurring near the neutral bias point, marking it as a critical dynamical\u0000threshold. The time required to reach consensus scales logarithmically when the\u0000bias is non-neutral and linearly when it is neutral. Although short-term\u0000dynamics depends on group size for small groups, long-term behavior is governed\u0000solely by the bias.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juan Pablo Alperin, Kenneth Shores, Alice Fleerackers, Natascha Chtena
The COVID-19 pandemic accelerated the use of preprints, aiding rapid research dissemination but also facilitating the spread of misinformation. This study analyzes media coverage of preprints from 2014 to 2023, revealing a significant post-pandemic decline. Our findings suggest that heightened awareness of the risks associated with preprints has led to more cautious media practices. While the decline in preprint coverage may mitigate concerns about premature media exposure, it also raises questions about the future role of preprints in science communication, especially during emergencies. Balanced policies based on up-to-date evidence are needed to address this shift.
{"title":"Stark Decline in Journalists' Use of Preprints Post-pandemic","authors":"Juan Pablo Alperin, Kenneth Shores, Alice Fleerackers, Natascha Chtena","doi":"arxiv-2409.08473","DOIUrl":"https://doi.org/arxiv-2409.08473","url":null,"abstract":"The COVID-19 pandemic accelerated the use of preprints, aiding rapid research\u0000dissemination but also facilitating the spread of misinformation. This study\u0000analyzes media coverage of preprints from 2014 to 2023, revealing a significant\u0000post-pandemic decline. Our findings suggest that heightened awareness of the\u0000risks associated with preprints has led to more cautious media practices. While\u0000the decline in preprint coverage may mitigate concerns about premature media\u0000exposure, it also raises questions about the future role of preprints in\u0000science communication, especially during emergencies. Balanced policies based\u0000on up-to-date evidence are needed to address this shift.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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