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Keisuke Okamura

Publications and source records attributed to Keisuke Okamura.

At least 19 recordsLinked to original sources

Finite-difference zeta readout of one-loop operator spectra

For a positive elliptic operator $A$, the logarithmic zeta determinant $\ln\det_{\zeta}A=-\zeta_{A}'(0)$ combines UV information encoded by local heat-kernel coefficients with finite contributions determined by the full spectrum. We introduce a finite-difference zeta readout based on $\zeta_{A}(0)$ and $\zeta_{A}(q-1)$, defining a one-parameter meromorphic family whose node-coalescence limit $q\to 1$ recovers the standard logarithmic zeta determinant. The parameter $q$ fixes the Mellin evaluation point $s=q-1$, organising genuine poles, regular local special values, generic full-spectrum values, and the logarithmic determinant limit along a common coordinate, while simultaneously determining the spectral weight $\lambda^{-q}$ in the $q$-dependent variational response. In relative spectral problems, this coordinate distinguishes systems retaining a leading local hierarchy from those in which the entire local power-law hierarchy cancels, illustrated respectively by a reflectionless soliton and a twisted circle. In four dimensions, the framework recovers the standard local scale response at $q=1$, governed by the heat-kernel coefficient $a_{4}$, whereas at generic regular values of $q$ it retains finite mass-sensitive information beyond the local hierarchy. The construction thereby provides a unified analytic framework for comparing local UV structure, finite full-spectrum information, variational response, and relative spectral behaviour within fixed operator spectra.

math-ph

Logarithmic scaling and stochastic criticality in collective attention

We uncover a universal scaling law governing the dispersion of collective attention and identify its underlying stochastic criticality. By analysing large-scale ensembles of Wikipedia page views, we find that the variance of logarithmic attention grows ultraslowly, $\operatorname{Var}[\ln{X(t)}]\propto\ln{t}$, in sharp contrast to the power-law scaling typically expected for diffusive processes. We show that this behaviour is captured by a minimal stochastic differential equation driven by fractional Brownian motion, in which long-range memory ($H$) and temporal decay of volatility ($\eta$) enter through the single exponent $\xi\equiv H-\eta$. At marginality, $\xi=0$, the variance grows logarithmically, marking the critical boundary between power-law growth ($\xi>0$) and saturation ($\xi<0$). By incorporating article-level heterogeneity through a Gaussian mixture model, we further reconstruct the empirical distribution of cumulative attention within the same framework. Our results place collective attention in a distinct class of non-Markovian stochastic processes, with close affinity to ageing-like and ultraslow dynamics in glassy systems.

physics.soc-ph

Fractional stochastic model of citation dynamics with memory and volatility

Understanding the statistical laws governing citation dynamics remains a fundamental challenge in network theory and the science of science. Citation networks typically exhibit in-degree distributions well approximated by log-normal distributions yet also display power-law behaviour in the high-citation regime -- an apparent contradiction lacking a unified explanation. Here we identify a previously unrecognised phenomenon: the variance of the logarithm of citation counts per unit time follows a power law with respect to time ($t$) since publication, scaling as $t^{H}$, with $H$ constant. This discovery introduces a new challenge while simultaneously offering a crucial clue to resolving this discrepancy. We develop a stochastic model in which latent attention to publications evolves through a memory-driven process with cumulative advantage, modelled as fractional Brownian motion with Hurst parameter $H$ and volatility. We show that antipersistent fluctuations in attention ($H < 1/2$) yield log-normal citation distributions, whereas persistent attention dynamics ($H > 1/2$) favour heavy-tailed power laws, thus resolving the log-normal--power-law contradiction. Numerical simulations confirm both the $t^{H}$ law and the transition between regimes. Empirical analysis of arXiv e-prints indicates that the latent attention process is intrinsically antipersistent ($H \approx 0.13$). By linking memory effects and stochastic fluctuations in attention to broader network dynamics, our findings provide a unifying framework for understanding the evolution of collective attention in science and other attention-driven processes.

physics.soc-ph

Evolving interdisciplinary contributions to global societal challenges: A 50-year overview

Addressing global societal challenges necessitates insights and expertise that transcend the boundaries of individual disciplines. In recent decades, interdisciplinary collaboration has been recognised as a vital driver of innovation and effective problem-solving, with the potential to profoundly influence policy and practice worldwide. However, quantitative evidence remains limited regarding how cross-disciplinary efforts contribute to societal challenges, as well as the evolving roles and relevance of specific disciplines in addressing these issues. To fill this gap, this study examines the long-term evolution of interdisciplinary contributions to the United Nations' Sustainable Development Goals (SDGs), drawing on extensive bibliometric data from OpenAlex. By analysing publication and citation trends across 19 research fields from 1970 to 2022, we reveal how the relative presence of different disciplines in addressing particular SDGs has shifted over time. Our results also provide unique evidence of the increasing interconnection between fields since the 2000s, coinciding with the United Nations' initiative to tackle global societal challenges through interdisciplinary efforts. These insights will benefit policymakers and practitioners as they reflect on past progress and plan for future action, particularly with the SDG target deadline approaching in the next five years.

cs.DL

On the $q$-generalised multinomial/divergence correspondence

The asymptotic correspondence between the probability mass function of the $q$-deformed multinomial distribution and the $q$-generalised Kullback-Leibler divergence, also known as Tsallis relative entropy, is established. The probability mass function is generalised using the $q$-deformed algebra developed within the framework of nonextensive statistics, leading to the emergence of a family of divergence measures in the asymptotic limit as the system size increases. The coefficients in the asymptotic expansion yield Tsallis relative entropy as the leading-order term when $q$ is interpreted as an entropic parameter. Furthermore, higher-order expansion coefficients naturally introduce new divergence measures, extending Tsallis relative entropy through a one-parameter generalisation. Some fundamental properties of these extended divergences are also explored.

cond-mat.stat-mech

Emergent family of Tsallis entropies from the $q$-deformed combinatorics

We revisit the derivation of a formula for the $q$-generalised multinomial coefficient rooted in the $q$-deformed algebra, a foundational framework in the study of nonextensive statistics. Previous approximate expressions in the literature diverge as $q$ approaches 2 (or 0, depending on convention). In contrast, our derived formula provides an exact, smooth function for all real values of $q$, expressed as an infinite series expansion involving Tsallis entropies with sequential entropic indices, coupled with Bernoulli numbers. This formulation is achieved through the analytic continuation of the Riemann zeta function, stemming from the $q$-deformed factorials. Our formula thus offers a distinctive characterisation of Tsallis entropy within the $q$-deformed combinatorics. Throughout this exploration, we also highlight a symmetry within the $q$-deformed theory that links different values of the entropic parameter. Furthermore, we discuss extending our results to encompass more general, affinity-sensitive cases, building on the previously established framework of affinity-based extended entropy.

cond-mat.stat-mech

Evolving landscape of US-China science collaboration: Convergence and divergence

International research collaboration among global scientific powerhouses has exhibited a discernible trend towards convergence in recent decades. Notably, the US and China have significantly fortified their collaboration across diverse scientific disciplines, solidifying their status as a national-level duopoly in global scientific knowledge production. However, recent reports hint at a potential decline in collaboration between these two giants, even amidst the backdrop of advancing global convergence. Understanding the intricate interplay between cooperation and disparity within the US-China relationship is vital for both academia and policy leaders, as it provides invaluable insights into the potential future trajectory of global science collaboration. Despite its significance, there remains a noticeable dearth of quantitative evidence that adequately encapsulates the dynamism across disciplines and over time. To bridge this knowledge gap, this study delves into the evolving landscape of interaction between the US and China over recent decades. This investigation employs two approaches, one based on paper identifiers and the other on researcher identifiers, both obtained from bibliometric data sourced from OpenAlex. From both approaches, our findings unveil the unique and dynamic nature of the US-China relationship, characterised by a collaboration pattern initially marked by rapid convergence, followed by a recent phase of divergence.

cs.DL

Atlas of Science Collaboration, 1971-2020

The evolving landscape of interinstitutional collaborative research across 15 natural science disciplines is explored using the open data sourced from OpenAlex. This extensive exploration spans the years from 1971 to 2020, facilitating a thorough investigation of leading scientific output producers and their collaborative relationships based on coauthorships. The findings are visually presented on world maps and other diagrams, offering a clear and insightful portrayal of notable variations in both national and international collaboration patterns across various fields and time periods. These visual representations serve as valuable resources for science policymakers, diplomats and institutional researchers, providing them with a comprehensive overview of global collaboration and aiding their intuitive grasp of the evolving nature of these partnerships over time.

cs.DL

Dynamic development of public attitudes towards science policymaking

Understanding the heterogeneity of mechanisms that form public attitudes towards science and technology policymaking is essential to the establishment of an effective public engagement platform. Using the 2011 public opinion survey data from Japan (n = 6,136), I divided the general public into three categories: the Attentive public, who are willing to actively engage with science and technology policymaking dialogue; the Interested public, who have moderate interest in science and technology but rely on experts for policy decisions; and the Residual public, who have minimal interest in science and technology. On the basis of the results of multivariate regression analysis, I have identified several key predispositions towards science and technology and other socio-demographic characteristics that influence the shift of individuals from one category of the general public to another. The findings provide a foundation for understanding how to induce more accountable, evidence-based science and technology policymaking.

physics.soc-ph

A half-century of global collaboration in science and the 'Shrinking World'

Recent decades have witnessed a dramatic shift in the cross-border collaboration mode of researchers, with countries increasingly cooperating and competing with one another. It is crucial for leaders in academia and policy to understand the full extent of international research collaboration, their country's position within it, and its evolution over time. However, evidence for such world-scale dynamism is still scarce. This paper provides unique evidence of how international collaboration clusters have formed and evolved over the past 50 years across various scientific publications, using data from OpenAlex, a large-scale Open Bibliometrics platform launched in 2022. We first examine how the global presence of top-tier countries has changed in 15 natural science disciplines over time, as measured by publication volumes and international collaboration rates. Notably, we observe that the US and China have been rapidly moving closer together for decades but began moving apart after 2019. We then perform a hierarchical clustering to analyse and visualise the international collaboration clusters for each discipline and period. Finally, we provide quantitative evidence of a `Shrinking World' of research collaboration at a global scale over the past half-century. Our results provide valuable insights into the big picture of past, present and future international collaboration.

cs.DL

Three invariants of strange attractors derived through hypergeometric entropy

A new description of strange attractor systems through three geometrical and dynamical invariants is provided. They are the correlation dimension ($\mathcal{D}$) and the correlation entropy ($\mathcal{K}$), both having attracted attention over the past decades, and a new invariant called the correlation concentration ($\mathcal{A}$) introduced in the present study. The correlation concentration is defined as the normalised mean distance between the reconstruction vectors, evaluated by the underlying probability measure on the infinite-dimensional embedding space. These three invariants determine the scaling behaviour of the system's R\'{e}nyi-type extended entropy, modelled by Kummer's confluent hypergeometric function, with respect to the gauge parameter ($\rho$) coupled to the distance between the reconstruction vectors. The entropy function reproduces the known scaling behaviours of $\mathcal{D}$ and $\mathcal{K}$ in the 'microscopic' limit $\rho\to\infty$ while exhibiting a new scaling behaviour of $\mathcal{A}$ in the other, 'macroscopic' limit $\rho\to 0$. The three invariants are estimated simultaneously via nonlinear regression analysis without needing separate estimations for each invariant. The proposed method is verified through simulations in both discrete and continuous systems.

nlin.CD

Scientometric engineering: Exploring citation dynamics via arXiv eprints

Scholarly communications have been rapidly integrated into digitised and networked open ecosystems, where preprint servers have played a pivotal role in accelerating the knowledge transfer processes. However, quantitative evidence is scarce regarding how this paradigm shift beyond the traditional journal publication system has affected the dynamics of collective attention on science. To address this issue, we investigate the citation data of more than 1.5 million eprints on arXiv (https://arxiv.org/) and analyse the long-term citation trend for each discipline involved. We find that the typical growth and obsolescence patterns vary across disciplines, reflecting different publication and communication practices. The results provide unique evidence on the attention dynamics shaped by the research community today, including the dramatic growth and fast obsolescence of Computer Science eprints, which has not been captured in previous studies relying on the citation data of journal papers. Subsequently, we develop a quantitatively-and-temporally normalised citation index with an approximately normal distribution, which is useful for comparing citational attention across disciplines and time periods. Further, we derive a stochastic model consistent with the observed quantitative and temporal characteristics of citation growth and obsolescence. The findings and the developed framework open a new avenue for understanding the nature of citation dynamics.

cs.DL

Affinity-based extension of non-extensive entropy and statistical mechanics

Tsallis' non-extensive entropy is extended to incorporate the dependence on affinities between the microstates of a system. At the core of our construction of the extended entropy ($\mathcal{H}$) is the concept of the effective number of dissimilar states, termed the effective diversity ($\mathit{\Delta}$). It is a unique integrated measure derived from the probability distribution among states and the affinities between states. The effective diversity is related to the extended entropy through the Boltzmann's-equation-like relation, $\mathcal{H}=\ln_{q}\mathit{\Delta}$, in terms of the Tsallis' $q$-logarithm. A new principle called the Nesting Principle is established, stating that the effective diversity remains invariant under an arbitrary grouping of the constituent states. It is shown that this invariance property holds only for $q=2$; however, the invariance is recovered for general $q$ in the zero-affinity limit (i.e. the Tsallis and Boltzmann-Gibbs case). Using the affinity-based extended Tsallis entropy, the microcanonical and the canonical ensembles are constructed in the presence of general between-state affinities. It is shown that the classic postulate of equal a priori probabilities no longer holds but is modified by affinity-dependent terms. As an illustration, a two-level system is investigated by the extended canonical method, which manifests that the thermal behaviours of the thermodynamic quantities at equilibrium are affected by the between-state affinity. Furthermore, some applications and implications of the affinity-based extended diversity/entropy for information theory and biodiversity theory are addressed in appendices.

q-bio.QM

Giant Spinons

We study the spectrum around the "antiferromagnetic" states of the planar AdS_5/CFT_4 duality. In contrast to the familiar large-spin limit J \to \infty where each magnon momentum scales as p \sim 1/J << 1, we consider a novel "large-winding" limit in which the total momentum becomes infinitely large, \sum_j p_j \to \infty. Upon taking the limit we identify "spinon" excitations of both gauge and string theories. In particular, a (classical) string spinon turns out to be an infinite set of spiky strings, which are closely related to well-known infinite-spin strings: giant magnons. Furthermore, we show that the curious agreement of scattering phase-shifts of two spikes and that of two giant magnons can be accounted for by regarding the spinon scattering as factorised scatterings of infinitely many magnons.

hep-th

Aspects of Integrability in AdS/CFT Duality

In this dissertation, we discuss how our understanding of the large-N spectrum of AdS/CFT has been deepened by integrability-based approaches. We begin with a comprehensive review of the integrability of the gauge theory spin-chain and that of the string sigma model. In the light of the AdS/CFT duality, they should be just two ways of describing the same underlying integrability, and it is believed that the unified integrability can be characterised by a set of Bethe ansatz equations which is valid for all values of the 't Hooft coupling. By studying the asymptotic spectrum of the AdS/CFT in the infinite spin/R-charge limit, we first identify the corresponding solitonic counterparts in the context of the AdS/CFT, which are the so-called dyonic giant magnons and the SYM magnon boundstates. Then we show that the S-matrix computed directly from the string solitons scattering precisely reproduces the prediction from the conjecture. We further perform an analyticity test by studying the singularities of the conjectured magnon boundstate S-matrix and checking the physicality conditions. These tests give strong positive supports for the integrability of large-N AdS/CFT as well as the specific form of the conjectured Bethe ansatz equations. Concerning the string theory integrability, we also provide a detailed study of certain classical string solutions on AdS_5 x S^5. These are constructed in such a way they correspond to generic soliton solutions of (Complex) sine/sinh-Gordon equations via the so-called Pohlmeyer reduction procedure. Furthermore, we describe them in terms of algebro-geometric data as finite-gap solutions, giving a complete map of the elliptic string solutions.

hep-th

Singularities of the Magnon Boundstate S-Matrix

We study the conjectured exact S-matrix for the scattering of BPS magnon boundstates in the spin-chain description of planar N=4 SUSY Yang-Mills. The conjectured S-matrix exhibits both simple and double poles at complex momenta. Some of these poles lie parametrically close to the real axis in momentum space on the branch where particle energies are positive. We show that all such poles are precisely accounted for by physical processes involving one or more on-shell intermediate particles belonging to the known BPS spectrum.

hep-th

Large Winding Sector of AdS/CFT

We study a family of classical strings on R x S^3 subspace of the AdS_5 x S^5 background that interpolates between pulsating strings and single-spike strings. They are obtained from the helical strings of hep-th/0609026 by interchanging worldsheet time and space coordinates, which maps rotating/spinning string states with large spins to oscillating states with large winding numbers. From a finite-gap perspective, this transformation is realised as an interchange of quasi-momentum and quasi-energy defined for the algebraic curve. The gauge theory duals are also discussed, and are identified with operators in the non-holomorphic sector of N=4 super Yang-Mills. They can be viewed as excited states above the ``antiferromagnetic'' state, which is ``the farthest from BPS'' in the spin-chain spectrum. Furthermore, we investigate helical strings on AdS_3 x S^1 in an appendix.

hep-th

A Perspective on Classical Strings from Complex Sine-Gordon Solitons

We study a family of classical string solutions with large spins on R x S^3 subspace of AdS_5 x S^5 background, which are related to Complex sine-Gordon solitons via Pohlmeyer's reduction. The equations of motion for the classical strings are cast into Lame equations and Complex sine-Gordon equations. We solve them under periodic boundary conditions, and obtain analytic profiles for the closed strings. They interpolate two kinds of known rigid configurations with two spins: on one hand, they reduce to folded or circular spinning/rotating strings in the limit where a soliton velocity goes to zero, while on the other hand, the dyonic giant magnons are reproduced in the limit where the period of a kink-array goes to infinity.

hep-th