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Disentangling the Role of Heterogeneity and Hyperedge Overlap in Explosive Contagion on Higher-Order Networks
Full text linkWe introduce group-based compartmental modeling (GBCM), a mean-field framework for irreversible contagion in higher-order networks that captures structural heterogeneity and correlations across group sizes. Validated through numerical simulations, GBCM analytically disentangles the role of each interaction order to the global epidemic dynamics, revealing how heterogeneity and inter-order correlations jointly shape the onset of outbreaks and the emergence of explosive dynamics. Crucially, we show that inter-order correlations drive
the system along distinct pathways to explosive contagion—emerging universally across both irreversible and
reversible spreading processes
1970s transvestite taxonomies and the new queer frontier
Full text linkAccording to Kadji Amin, vernacular discourses in recent years have “exploded Butler’s heterosexual matrix in a way hitherto unimaginable” (2023: 91–2). Yet neither queer nor transvernacular taxonomies are new, and the separation of sex, gender and sexuality has been a contested topic among trans subcultures since at least the 1950s. Combining original archival research with feminist, queer and trans philosophes of gender, this paper argues that, despite being almost entirely unhistoricized, the identity category of “transvestite” represented one of the most highly organized, internally differentiated, and intellectually significant identity formations of the 20th century. We can learn a lot about possible futures for queer studies by turning our attention to the recent past and the untheorized archive of 1970s trans community print culture is full of lists of the constantly evolving identity categories available for members of these early trans communities. From the 1960s onward, united through mailing lists and a burgeoning periodical culture, a complex ecosystem of transvestite subcultures emerged throughout the Anglosphere. Trans people used correspondence, newsletters and magazines, to connect across nations and continents. Through these formats, they discursively constructed how to understand transness, queering prevailing understandings of sex, gender and sexuality. Examining the impulses behind and effects of these complex categorical formations historicizes and enriches understandings of the ambivalence of trans taxonomies today
Episode 6 – Searching for Blue: Maggie Nelson’s Bluets [Radical Writing Podcast]
No full textHave you ever fallen in love with a colour? Join me and writers Deborah Walker and Dewale Ola Dimeji as we talk obsession, heartbreak and form in Bluets, a genre-defining lyric essay by Maggie Nelson. It consists of a series of 240 numbered fragments, ranging from as short as a single sentence to a whole page, and it touches on themes of desire, depression, heartache and God. Its main interest is in searching for the cultural, artistic and synaesthetic qualities of the color blue, but it does so through lucid and elegant reflections on sex and love. Its prose-poetry form has made it an iconic text which has shaped the modern lyric essay genre, and it was first published in the UK in 2017 by Jonathan Cape
The Dream Factory: London's First Playhouse and the Making of William Shakespeare
No full textThe Theatre, which stood in Shoreditch in London between 1576 and 1598, was London's first purpose-built commercial playhouse. It was also the workplace of William Shakespeare, when he first arrived in London and began his apprenticeship as a playwright in the newly development theatre industry. This book recounts the construction and running of the playhouse, and Shakespeare's career at it, culminating in the writing of Romeo and Juliet and A Midsummer Nigh's Dream
Evidence of Economic Consequences of IFRS 15 and ASC 606
No full textThis paper offers a review of the recent literature examining the adoption of the new revenue recognition accounting standards under IFRS (IFRS 15) and US GAAP (ASC 606). Starting with the questions raised by standard setters during their post-implementation review processes, this study explores the questions pertinent to academics using relevant, existing academic evidence that can provide decision-useful information for standard setters. We utilize a proposed framework of the economic consequences of regulatory changes, identify gaps in the literature, and propose future research. This study contributes to a more nuanced understanding of the implications of the new revenue recognition standards, thereby enlightening standard setters on the effects of the changes, ultimately bridging the demand and supply of accounting research
Garbage in garbage out? Impacts of data quality on criminal network intervention
Full text linkCriminal networks such as human trafficking rings are threats to the rule of law, democracy and public safety in our global society. Network science provides invaluable tools to identify key players and design interventions for Law Enforcement Agencies (LEAs), e.g., to dismantle their organisation. However, poor data quality and the robustness of criminal networks make effective intervention extremely challenging. Although there exists a large body of work building and applying network scientific tools to green intervene criminal networks, these work often neglect the problems of data incompleteness and inaccuracy. Moreover, there is thus far no comprehensive understanding of the impacts of data quality on the downstream effectiveness of interventions. This work investigates the relationship between data quality and intervention effectiveness based on classical graph theoretic and machine learning-based targeting approaches. Decentralization emerges as a major factor in network robustness, particularly under conditions of incomplete data, which renders intervention strategies largely ineffective. Moreover, the robustness of centralized networks can be boosted using simple heuristics, making targeted intervention more infeasible. Consequently, we advocate for a more cautious application of network science in disrupting criminal networks, the continuous development of an interoperable intelligence ecosystem, and the creation of novel network inference techniques to address data quality challenges
A taxonomy of neuroscientific strategies based on interaction orders
Full text linkIn recent decades, neuroscience has advanced with increasingly sophisticated strategies for recording and analyzing brain
activity, enabling detailed investigations into the roles of functional units, such as individual neurons, brain regions, and their
interactions. Recently, new strategies for the investigation of cognitive functions regard the study of higher-order interactions—
that is, the interactions involving more than two brain regions or neurons. While methods focusing on individual units and
their interactions at various levels offer valuable and often complementary insights, each approach comes with its own set of
limitations. In this context, a conceptual map to categorize and locate diverse strategies could be crucial to orient researchers
and guide future research directions. To this end, we define the spectrum of orders of interaction, namely a framework that
categorizes the interactions among neurons or brain regions based on the number of elements involved in these interactions. We
use a simulation of a toy model and a few case studies to demonstrate the utility and the challenges of the exploration of the
spectrum. We conclude by proposing future research directions aimed at enhancing our understanding of brain function and
cognition through a more nuanced methodological framework
Consumption and Greenhouse Gas Emissions Impacts of Population-Wide Adoption of Dietary Guidelines in China
Full text linkThis paper uses an optimisation model to quantify the necessary food consumption adjustments for Chinese diets to fulfil the requirements in the health-based Chinese Dietary Guidelines (CDG) or WHO dietary guidelines. We further aim to determine whether adopting these guidelines could lead to lower levels of greenhouse gas emissions (GHGE) while maintaining diet affordability. Modelling outcomes under the CDG and WHO scenarios differ significantly from nutritional, GHGE and diet affordability perspectives: relative to observed eating patterns, diets following the WHO guidelines are equally emissions intensive, while diets consistent with the CDG recommendations are less sustainable. Further optimisations imposing significant reductions in GHGE indicate important environmental and nutritional co-benefits can be achieved through the WHO guidelines, while maintaining diet affordability. In the WHO scenario, the maximum diet-related GHGE reduction policymakers could aim for is30%, since above this threshold, recommended diets would deviate considerably from observed patterns. The CDG model with a20% emissions reduction does not converge for 64% of the initial data set, casting doubt on the affordability and compatibility of the CDG with China's decarbonisation goal. We recommend that future versions of the CDG be reformulated to closer align withWHO advice and explicitly include environmental considerations