New papers on Society & networks
34 new papers on society & networks in the last 7 days, within Economy & society. These are the 34 Pipette rates most worth reading, with the main result in the authors' own words.
The best of the week
Banking records reveal characteristics of financial abuse
Our results demonstrate how victim-survivors lose financial independence, experience economic instability and suffer financial distress.
Peer-reviewed journalEasy to readStatistical physics of language change inferred from time evolving maps
Our inferences demonstrate that spatial linguistic patterns can be rapidly destroyed by migration but that accommodation can create them, protect them, and in combination with diffusion, produce partially predictable pattern dynamics.
PreprintBold claims, read criticallyDeep-learning-aided dismantling of interdependent networks
Here, we propose a dismantling algorithm named MultiDismantler, which leverages multiplex network representation and deep reinforcement learning to optimally dismantle multi-layer interdependent networks.
Preprint with a published versionBold claims, read criticallyReal-world useWhat a collective can hold in common: a gauge framework for private representations
For reciprocal unitary translations, the kernel of the connection Laplacian is isomorphic to the joint fixed space of loop holonomies: a collective can hold in common exactly what all its loops leave unchanged.
PreprintOpen Platform Field Experiments: Expanding the Design Space of Experimental Research on Social Media
Overall, this work establishes OPFEs as a practical methodological paradigm for independent, transparent, and ecologically grounded experimentation on open social media.
PreprintInferring the microscopic mechanisms of opinion dynamics using a kinetic Ising model
Here, we infer the transition probabilities governing opinion updates from a year-long online social network and show that they are accurately described by an Ising heat-bath dynamics.
PreprintGlassy dynamics of metropolitan human mobility frozen near the gravitational equilibrium
Through calibration to observed data, we reveal that the system demonstrates signatures of kinetically constrained models, specifically ageing, hysteresis, and freezing near equilibrium.
PreprintBold claims, read criticallyDetectability limits of scaling laws
Here we derive a resolution limit for scaling exponents, giving the smallest exponent difference that any method of analysis can detect.
PreprintBelow the Surface: Creep, Corrosion, and Tipping Points in the Social Resilience of Science
We argue that a healthy-looking surface can coexist with, and mask, an accumulation of below-the-surface damage due to slow-acting, internally and externally driven pressures, weakening the social position of science.
PreprintBroad interestLocation transparency reduces activity by accounts misrepresenting their location on X
Location transparency thus works primarily by inducing restraint among the disclosed accounts rather than by shifting audience behaviour, and the accounts it constrains look at least as much like cross-border fraud as foreign political influence.
PreprintInferring Latent Geometries in Weighted Spatio-Functional Networks
Together, these results establish our framework as a principled, scalable diagnostic of structural organization, physical degradation, and dynamic resilience in complex networked systems.
PreprintBold claims, read criticallyAdvancing the Conceptualization and Measurement of Mentorship: The Mentoring Experiences in Research & Graduate Education (MERGE) Scale
Results of three sequential multi-method studies (total N = 1,308) provide evidence for: (a) the content and response process validity of the MERGE; (b) a six-factor structure capturing the range of mentoring experiences; (c) negative mentoring experiences as empirically distinct from the absence of positive mentoring; (d) convergent, discriminant and criterion-related validity of the MERGE, with each factor demonstrating unique patterns of association with outcomes; and (e) the incremental validity of the MERGE in predicting outcomes beyond an existing measure of mentoring competence.
PreprintNetwork imitation sustains misinformation despite a corrective factual field
Yet on a ring with planar opinions, sufficiently strong imitation can trap the same individuals in a different stable state that retains misinformation.
PreprintSlow Context, Fast Symptoms: Multiscale Temporal Dynamics and Context-Induced Coupling in Psychological Systems
Thus, slowly varying context can alter both the dynamics and the apparent interaction structure of a fast psychological system.
PreprintA Dynamic Model of Party Differentiation under Electoral Competition
We demonstrate that this theoretical formulation reveals a distinct phase transition in multiparty competition, moving from centripetal convergence to centrifugal separation.
PreprintEmotions as intrinsic colored noise in biological systems
The idea that emotions in biological systems are analogous to intrinsic colored noise is advanced and justified.
Preprint with a published versionBeyond expressiveness in pairwise and higher-order models
The resulting position is symmetric: higher-order structure should not be inferred from phenomenology alone, but neither should graph-based emulation be taken as evidence that a graph is the most parsimonious or scientifically adequate description.
PreprintBeyond the Desert Label: A Pathway Diagnostic for User-Centered Smart Mobility Service Design
This paper introduces a pathway-based, reproducible, data-driven diagnostic that distinguishes relative transit mismatch from minimum-service failure and reports the specific service attributes (frequency, span, weekend service, walking access, and destination accessibility) driving each classification.
PreprintReal-world useThreat Amplified, Blame Restrained: LLM-Assisted Media Framing Analysis of the 2026 Bangladesh Measles Outbreak
The pipeline offers a scalable, transparent method for LMIC outbreak-media analysis; Bangladeshi coverage amplified threat far more than it assigned political blame.
PreprintOn Punching "Power": Practical Equivalents between improvements in Strike Speed and Effective, Striking Mass
Here, we build on previous work, studying the effects of marginal increases in effective mass on target velocity, and relating them to equivalent, single-unit changes in strike speed.
PreprintBroad interestOptimal and heuristic strategies for evaluating the influence of coordinated behavior in information cascades and retweet networks
In this work, we introduce two complementary frameworks for the post-hoc evaluation of coordinated accounts.
PreprintOranSim: Simulating Social Media Marketing
We propose OranSim, a social simulation framework that connects creative, creator, targeting, and budget choices to this process.
PreprintCode availableTransfer Dynamics and Spectral Cascades in Graph-Coupled Kuramoto Networks
This work introduces a spectral transfer formalism for nonlinear synchronisation dynamics to resolve how internal dynamical activity redistributes across network scales, moving beyond traditional global observables like the Kuramoto order parameter.
PreprintSetting the clock: Evaluating temporal window parameters for coordinated behavior detection
We find that window length determines which coordination patterns are detectable, while window stride has negligible effect on precision and recall.
PreprintA randomized trial of grant writing coaching groups: Qualitative interviews revealing key elements of intervention efficacy
Conclusion This study identified key elements of successful grant writing coaching groups and potential barriers to their effectiveness, while yielding insights about tailoring this approach for individuals at different stages of proposal development.
PreprintReproducibility Challenges in Computational Network Science: Evidence, Causes, and Recommendations
This paper presents a taxonomy of reproducibility in CNS, structured around artifact availability, algorithmic clarity, experimental environments, and data processing and experimental pipelines.
PreprintDiffusion-Induced Spatial Attention Overlapping Community Detection
We introduce Diffusion-Induced Spatial Attention Community Detection (DISCO), a deep-learning framework that combines a structural prior derived from influence spreading dynamics, sparse multi-head attention, and non-negative community-affiliation learning.
PreprintReal-world useLocally Fair PageRank: Mean-Field Approximation and One-Step Refinement
We develop a scalable analytical framework for approximating Neighborhood Locally Fair PageRank and Uniform Locally Fair PageRank.
PreprintLinear Temporal Structure and Short-Term Persistence of Conflict Activity in Middle Eastern Countries
These results reveal measurable linear temporal structure and country-dependent short-term persistence in the temporal patterns of conflict activity across the Middle East.
PreprintPercolation in the Stochastic Block Model
We find that the critical average degree is not generally equal to , even in locally tree-like sequences, because the transition depends on how connections are distributed across the evolving community structure.
PreprintDynamics-structure interchangeability in binary opinion models on multiplex networks
We introduce a general framework for identifying the critical line between the ordered and disordered phases, thereby translating one system into another.
PreprintUser Influence Analysis Based on Blogs
In this paper, we propose three kinds of algorithms for computing user influence based on the behavior of a user's forwarding microblogs and the symbol of @ in microblogs.
PreprintBold claims, read criticallySemi-Monotonicity for Spectral Centrality Measures
We prove that all of them are strictly rank semi-monotone on connected undirected graphs, and that all of them are also score semi-monotone, (the only exception being eigenvector centrality when scores are normalized by projecting the constant vector on the dominant eigenspace, for which we provide a counterexample).
PreprintAuditing bipartite motif interpretations: a worked example with conservation checks and open-path decomposition
The deficit is extreme relative to the sampled null, while its class-level interpretation is undetermined and unstable.
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