Neil G. MacLaren

ORCID: 0000-0002-8478-8530
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About
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Research Areas
  • Complex Network Analysis Techniques
  • Evolutionary Game Theory and Cooperation
  • Opinion Dynamics and Social Influence
  • Team Dynamics and Performance
  • Ecosystem dynamics and resilience
  • Primate Behavior and Ecology
  • Evolutionary Psychology and Human Behavior
  • Mental Health Research Topics
  • Music and Audio Processing
  • Speech and Audio Processing
  • Knowledge Management and Sharing
  • Open Source Software Innovations
  • Speech Recognition and Synthesis
  • Complex Systems and Time Series Analysis
  • Complex Systems and Decision Making
  • Misinformation and Its Impacts
  • Demographic Trends and Gender Preferences
  • Animal Ecology and Behavior Studies
  • Wildlife Ecology and Conservation
  • Graphene research and applications
  • Social and Intergroup Psychology
  • Wikis in Education and Collaboration
  • Conflict Management and Negotiation
  • Gene Regulatory Network Analysis
  • Animal Behavior and Reproduction

Binghamton University
2020-2025

University at Buffalo, State University of New York
2022-2024

Google (United States)
2023

Abstract Real systems showing regime shifts, such as ecosystems, are often composed of many dynamical elements interacting on a network. Various early warning signals have been proposed for anticipating shifts from observed data. However, it is unclear how one should combine different nodes better performance. Based theory stochastic differential equations, we propose method to optimize the node set which construct an signal. The takes into account that uncertainty well magnitude signal...

10.1038/s41467-024-45476-9 article EN cc-by Nature Communications 2024-02-05

Human collective tasks in teams and organizations increasingly require participation of members with diverse backgrounds working networked social environments. However, little is known about how network structure the functional diversity member would interact each other affect processes. Here we conducted three sets human-subject experiments which involved 617 university students who collaborated anonymously a ideation task on custom-made online platform. We found that spatially clustered...

10.1038/s44260-024-00025-9 article EN cc-by-nc-nd Deleted Journal 2025-01-09

Although cooperative social networks are considered key to human evolution, emphasis has usually been placed on the functions of men’s networks. What do women’s look like? Do they differ from and what does this suggest about evolutionarily inherited gender differences in reproductive strategies? In paper, we test ‘universal differences’ hypothesis positing gender-specific network structures against ‘gender reversal’ that posits more ‘masculine’ under matriliny. Specifically, ask whether...

10.3390/socsci10070253 article EN cc-by Social Sciences 2021-07-02

Market integration (MI) is a complex process through which individuals integrate market-oriented activities into previously subsistence-dominated lifeways. Changes associated with MI alter the landscapes of individual health and reproductive decision-making. While consequences are often easily detected in aggregate, specific aspects that affect demography context dependent underinvestigated. We argue an evolutionary perspective can inform such investigations by emphasizing individuals'...

10.1086/719266 article EN Current Anthropology 2022-02-01

Cooperative networks are essential features of human society. Evolutionary theory hypothesizes that used differently by men and women, yet the bulk evidence supporting this hypothesis is based on studies conducted in a limited range contexts few domains cooperation. In paper, we compare individual-level cooperative from two communities Southwest China differ systematically kinship norms institutions—one matrilineal one patrilineal—while sharing an ethnic identity. Specifically, investigate...

10.1098/rstb.2021.0436 article EN other-oa Philosophical Transactions of the Royal Society B Biological Sciences 2022-11-28

Successfully anticipating sudden major changes in complex systems is a practical concern. Such often form heterogeneous network, which may show multi-stage transitions some nodes experience regime shift earlier than others as an environment gradually changes. Here we investigate early warning signals for networked undergoing transition. We found that knowledge of both the ongoing transition and network structure enables us to calculate effective transitions. Furthermore, small subsets could...

10.1098/rsif.2022.0743 article EN cc-by Journal of The Royal Society Interface 2023-03-01

Abstract Increased access to defensible material wealth is hypothesised escalate inequality. Market integration, which creates novel opportunities in cash economies, provides a means of testing this hypothesis. Using demographic data collected from 505 households among the matrilineal and patrilineal Mosuo 2017, we test whether market integration associated with increased wealth, inequality, being vs. kinship system alters relationship between We find evidence that measured as distance...

10.1017/ehs.2022.52 article EN cc-by-nc-nd Evolutionary Human Sciences 2022-11-21

Many complex dynamical systems in the real world, including ecological, climate, financial and power-grid systems, often show critical transitions, or tipping points, which system’s dynamics suddenly transit into a qualitatively different state. In mathematical models, points happen as control parameter gradually changes crosses certain threshold. Tipping elements such may interact with each other network, understanding behaviour of interacting is challenge because high dimensionality...

10.1098/rspa.2022.0350 article EN cc-by Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences 2022-08-01

Abstract Studying extreme ideas in routine choices and discussions is of utmost importance to understand the increasing polarization society. In this study, we focus on understanding generation influence conversations which label “eccentric” ideas. The eccentricity any idea defined as deviation that from norm social neighborhood. We collected analyzed data two sources different nature: public media online experiments a controlled environment. compared popularity against their individuals’...

10.1038/s41598-023-47823-0 article EN cc-by Scientific Reports 2023-11-22

The social brain hypothesis posits that species with larger brains tend to have greater complexity. Various lines of empirical evidence supported the hypothesis, including from structure networks. Cooperation is a key component group living, particularly among primates, and theoretical research has shown particular structures networks foster cooperation more easily than others. Therefore, we hypothesized relatively large size form better enable cooperation. In present study, combine data on...

10.3389/fcpxs.2023.1344094 article EN cc-by Frontiers in Complex Systems 2024-01-22

Effective teamwork in an initially leaderless group requires a high level of collective leadership emerging from dynamic interactions among members. Leader emergence is crucial topic leadership, yet it challenging to investigate as the problem context typically highly complex and dynamic. Here, we explore perception by means computational simulations whose assumptions parameters were informed empirical research human-subject experiments. Our agent-based model describes process planning. Each...

10.1155/2020/6857891 article EN cc-by Complexity 2020-04-28

The relationship between size and performance of collaborative human small groups has been studied broadly across management, psychology, economics, sociology, engineering disciplines. However, empirical research findings on this question remain equivocal. Many the earlier studies centered human‐subject experiments, which inevitably involved many confounding factors. To obtain more theory‐driven mechanistic explanations linkage group performance, we developed an agent‐based simulation model...

10.1155/2022/8265296 article EN cc-by Complexity 2022-01-01

A fundamental premise of statistical physics is that the particles in a physical system are interchangeable, and hence state each specific component representative as whole. This assumption breaks down for complex networks, which nodes may be extremely diverse, no single can truly represent entire system. It seems, therefore, to observe dynamics social, biological or technological one must extract dynamic states large number -- task often practically prohibitive. To overcome this challenge,...

10.48550/arxiv.2408.00045 preprint EN arXiv (Cornell University) 2024-07-31

Early warning signals (EWSs) for complex dynamical systems aim to anticipate tipping points, or large regime shifts, before they occur. While computed from time series data, such as temporal variance and lagged autocorrelation functions, are useful this task, costly obtain in practice because need many samples over calculate. Spatial EWSs use just a single sample per spatial location aggregate the space rather than try mitigate limitation. However, although nature society form diverse...

10.48550/arxiv.2410.04303 preprint EN arXiv (Cornell University) 2024-10-05

Collective idea generation and innovation processes are complex dynamic, involving a large amount of qualitative narrative information that is difficult to monitor, analyze, visualize using traditional methods. In this study, we developed three new visualization methods for collective applied them data from online social network experiments. The first the Idea Cloud, which helps monitor posting activity intuitively tracks clustering transition. second Geography, understand how space its...

10.1109/tcss.2022.3184628 article EN IEEE Transactions on Computational Social Systems 2022-07-08

Although cooperative social networks are considered key to human evolution, emphasis has usually been placed on the functions of men’s networks. What do women's look like? Do they resemble or differ from men's and what does this suggest about evolutionarily inherited gender differences in reproductive strategies? In paper, we test ‘universal differences’ hypothesis positing gender-specific network structures against ‘gender reversal’ that...

10.20944/preprints202104.0035.v2 preprint EN 2021-06-10

Utterance clustering is one of the actively researched topics in audio signal processing and machine learning. This study aims to improve performance utterance by multichannel (stereo) signals. Processed signals were generated combining left‐ right‐channel a few different ways then extracting embedded features (also called d ‐vectors) from those processed applied Gaussian mixture model for supervised clustering. In training phase, parameter‐sharing was obtained train each speaker. testing...

10.1155/2021/6151651 article EN cc-by Computational Intelligence and Neuroscience 2021-01-01

The social brain hypothesis states that the relative size of neocortex is larger for species with higher complexity as a result evolution. Various lines empirical evidence have supported hypothesis, including from structure networks. Social may itself positively impact cooperation among individuals, which occurs across different animal taxa and key behavior successful group living. Theoretical research has shown particular structures networks foster more easily than others. Therefore, we...

10.48550/arxiv.2302.00075 preprint EN cc-by arXiv (Cornell University) 2023-01-01

10.1098/rspa.2023.0171 article EN cc-by Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences 2023-04-01

Human collectives, e.g., teams and organizations, increasingly require participation of members with diverse backgrounds working in networked social environments. However, little is known about how network structure the functional diversity member would affect collective processes. Here we conducted three sets human-subject experiments which involved 617 participants who collaborated anonymously a ideation task on custom-made online platform. We found that spatially clustered collectives...

10.48550/arxiv.2307.04284 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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