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Related papers: Hierarchical organization versus self-organization

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Self-organization in complex systems is a process in which randomness is reduced and emergent structures appear that allow the system to function in a more competitive way with other states of the system or with other systems. It occurs…

Adaptation and Self-Organizing Systems · Physics 2025-06-02 Matthew J Brouillet , Georgi Yordanov Georgiev

Network-based modeling of complex systems and data using the language of graphs has become an essential topic across a range of different disciplines. Arguably, this graph-based perspective derives its success from the relative simplicity…

Social and Information Networks · Computer Science 2023-08-11 Christian Bick , Elizabeth Gross , Heather A. Harrington , Michael T. Schaub

Specialization and hierarchical organization are important features of efficient collaboration in economical, artificial, and biological systems. Here, we investigate the hypothesis that both features can be explained by the fact that each…

Multiagent Systems · Computer Science 2018-09-19 Sebastian Gottwald , Daniel A. Braun

On social media, the boundaries between people's private and public lives often blur. The need to navigate both roles, which are governed by distinct norms, impacts how individuals conduct themselves online, and presents methodological…

Social and Information Networks · Computer Science 2024-09-19 Esa Palosaari , Ted Hsuan Yun Chen , Arttu Malkamäki , Mikko Kivelä

We introduce a mechanism which models the emergence of the universal properties of complex networks, such as scale independence, modularity and self-similarity, and unifies them under a scale-free organization beyond the link. This brings a…

Can a human society be constrained in such a way that self-organization will thereafter tend to produce outcomes that advance the goals of the society? Such a society would be self-organizing in the sense that individuals who pursue only…

Physics and Society · Physics 2018-01-26 John E. Stewart

Service-oriented High Level Architecture (SOHLA) refers to the high level architecture (HLA) enabled by Service-Oriented Architecture (SOA) and Web Services etc. techniques which supports distributed interoperating services. The detailed…

Software Engineering · Computer Science 2009-08-06 Wenguang Wang , Wenguang Yu , Qun Li , Weiping Wang , Xichun Liu

Understanding, reasoning, and manipulating semantic concepts of images have been a fundamental research problem for decades. Previous work mainly focused on direct manipulation on natural image manifold through color strokes, key-points,…

Computer Vision and Pattern Recognition · Computer Science 2018-08-29 Seunghoon Hong , Xinchen Yan , Thomas Huang , Honglak Lee

Throughout this article we develop and change the definitions and the ideas in "arXiv:1006.4939", in order to consider the efficiency of functions and complexity time problems. The central idea here is effective enumeration and listing, and…

Computational Complexity · Computer Science 2010-11-30 Saeed Asaeedi , Farzad Didehvar

Background: Understanding the distinction between function and role is vexing and difficult. While it appears to be useful, in practice this distinction is hard to apply, particularly within biology. Results: I take an evolutionary…

Artificial Intelligence · Computer Science 2013-09-25 Phillip Lord

The relationship between the concepts of network and knowledge graph is explored. A knowledge graph can be considered a special type of network. When using a knowledge graph, various networks can be obtained from it, and network analysis…

Social and Information Networks · Computer Science 2025-12-01 Vladimir Batagelj , Tomaž Pisanski , Iztok Savnik , Ana Slavec , Nino Bašić

The present work is dedicated to searching parameters, alternative to entropy, applicable for description of highly organized systems. The general concept has been offered, in which the system complexity and order are functions of the order…

Information Theory · Computer Science 2010-09-03 V. I. Ilyevsky

We study a general and simple model for communication processes. In the model, agents in a network (in particular, an organization) interchange information packets following simple rules that take into account the limited capability of the…

Statistical Mechanics · Physics 2009-11-07 R. Guimera , A. Arenas , A. Diaz-Guilera

We propose a method to systematically represent both the static and the dynamic components of environments, i.e. objects and agents, as well as the changes that are happening in the environment, i.e. the actions and skills performed by…

Artificial Intelligence · Computer Science 2024-09-16 Andrei Costinescu , Luis Figueredo , Darius Burschka

We survey and analyze different ways in which bornologies, coarse structures and uniformities on a group agree with the group operations.

General Topology · Mathematics 2018-11-16 Igor Protasov

In [N. A. Baas, Emergence, Hierarchies, and Hyper-structures, in C.G. Langton ed., Artificial Life III, Addison Wesley, 1994.] a general framework for the study of Emergence and hyper-structure was presented. This approach is mostly…

Neural and Evolutionary Computing · Computer Science 2007-05-23 Babak Hodjat , Makoto Amamiya

The framework of Modern Theory of Critical State Transitions considers the relation between different levels of organization in complex systems in terms of Critical State Transitions. A State Transition between levels entails changes of…

Neurons and Cognition · Quantitative Biology 2008-11-05 Gerhard Werner

Research on social stratification is closely linked to analysing the prestige associated with different occupations. This research focuses on the positions of occupations in the semantic space represented by large amounts of textual data.…

Computation and Language · Computer Science 2023-02-16 Zoltán Kmetty , Julia Koltai , Tamás Rudas

Both self-organization and organization are important for the further development of the sciences: the two dynamics condition and enable each other. Commercial and public considerations can interact and "interpenetrate" in historical…

Physics and Society · Physics 2015-05-30 Loet Leydesdorff

Node classification and graph classification are two graph learning problems that predict the class label of a node and the class label of a graph respectively. A node of a graph usually represents a real-world entity, e.g., a user in a…

Social and Information Networks · Computer Science 2022-09-07 Jia Li , Yongfeng Huang , Heng Chang , Yu Rong
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