paper-with-me

홈 › Papers

Diverse communities behave like typical random ecosystems

2019-04-01 · Wenping Cui, Robert Marsland III, Pankaj Mehta

In 1972, Robert May triggered a worldwide research program studying ecological communities using random matrix theory. Yet, it remains unclear if and when we can treat real communities as random ecosystems. Here, we draw on recent progress in random matrix theory and statistical physics to extend May's approach to generalized consumer-resource models. We show that in diverse ecosystems adding even modest amounts of noise to consumer preferences results in a transition to "typicality" where macroscopic ecological properties of communities are indistinguishable from those of random ecosystems, even when resource preferences have prominent designed structures. We test these ideas using numerical simulations on a wide variety of ecological models. Our work offers an explanation for the success of random consumer-resource models in reproducing experimentally observed ecological patterns in microbial communities and highlights the difficulty of scaling up bottom-up approaches in synthetic ecology to diverse communities.

📄 PDF Abstract BibTeX arXiv:1904.02610

Code (1)

Emergent-Behaviors-in-Biology/typical-random-ecosystems 공식 구현

Similar Papers 제목 키워드 기반

Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation

2025-10-27 · Kaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni, Gene Louis Kim 외 arxiv

Large Language Models have been shown to demonstrate stereotypical biases in their representations and behavior due to the discriminative nature of the data that they have been trained on. Despite significant progress in…

Question Answering

Testing for a Random Walk Structure in the Frequency Evolution of a Tone in Noise

2021-03-05 · S. E. Abramson, W. Moran, R. J. Evans, A. Melatos

Inference and hypothesis testing are typically constructed on the basis that a specific model holds for the data. To determine the veracity of conclusions drawn from such data analyses, one must be able to identify the p…

Time SeriesTime Series Analysis

A multilevel clustering technique for community detection

2021-01-16 · Isa Inuwa-Dutse, Mark Liptrott, Yannis Korkontzelos

A network is a composition of many communities, i.e., sets of nodes and edges with stronger relationships, with distinct and overlapping properties. Community detection is crucial for various reasons, such as serving as …

ClusteringCommunity Detection

Sometimes I am a Tree: Data Drives Unstable Hierarchical Generalization

2024-12-05 · Tian Qin, Naomi Saphra, David Alvarez-Melis

Language models (LMs), like other neural networks, often favor shortcut heuristics based on surface-level patterns. Although LMs behave like n-gram models early in training, they must eventually learn hierarchical syntac…

DiversityMemorization

Activate index: an integrated index to reveal disrupted brain network organizations of major depressive disorder patients

2022-02-14 · Yu Fu, Yanyan Huang, Meng Niu, Le Xue 외

Altered functional brain networks have been a typical manifestation that distinguishes major depressive disorder (MDD) patients from healthy control (HC) subjects in functional magnetic resonance imaging (fMRI) studies. …