IEEE Access, 2023 This paper proposes a double-layer network game model based on asymmetric information, hoping to explore the impact of asymmetric information dissemination on the evolution of cooperation.
Xiaoming Gong
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Narrative Complexity and the Case of Pfitz: An Update for the ‘Systems Novel’
Interlitteraria, 2021 Recent narrative studies of complexity theory have shown that so-called ‘emergent complexity’ does not accommodate to narrative form. Complexity theory is an interdisciplinary field of study that researches how large-scale phenomena emerge from simple ...
Toon Staes
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Computing Matveev's complexity via crystallization theory: the boundary case [PDF]
, 2012 The notion of Gem-Matveev complexity has been introduced within crystallization theory, as a combinatorial method to estimate Matveev's complexity of closed 3-manifolds; it yielded upper bounds for interesting classes of such manifolds.
Bandieri P. +18 more
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Levelable Sets and the Algebraic Structure of Parameterizations [PDF]
, 2018 Asking which sets are fixed-parameter tractable for a given parameterization constitutes much of the current research in parameterized complexity theory. This approach faces some of the core difficulties in complexity theory.
Torenvliet, Leen, Witteveen, Jouke
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Information theory, complexity and neural networks [PDF]
, 1989 Some of the main results in the mathematical evaluation of neural networks as information processing systems are discussed. The basic operation of feedback and feed-forward neural networks is described.
Abu-Mostafa, Yaser S.
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Link Prediction in Complex Networks Using Average Centrality-Based Similarity Score
EntropyLink prediction plays a crucial role in identifying future connections within complex networks, facilitating the analysis of network evolution across various domains such as biological networks, social networks, recommender systems, and more. Researchers
Y. V. Nandini +3 more
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Geometric modeling and complexity - a conceptual approach in architectural design and education [PDF]
Spatium, 2019 By encompassing abstraction and patterned information, the new fields of geometry and mathematical models of complex dynamic spatial systems provide a new method for spatial modeling.
Čahtarević Rada, Proho Adna
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Extending Graph-Based LP Techniques for Enhanced Insights Into Complex Hypergraph Networks
IEEE AccessMany real-world problems can be modelled in the form of complex networks. Social networks such as research collaboration networks and facebook, biological neural networks such as human brains, biomedical networks such as drug-target interactions and ...
Y. V. Nandini +4 more
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Node Significance Analysis in Complex Networks Using Machine Learning and Centrality Measures
IEEE AccessThe study addresses the limitations of traditional centrality measures in complex networks, especially in disease-spreading situations, due to their inability to fully grasp the intricate connection between a node’s functional importance and ...
Koduru Hajarathaiah +4 more
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Self-Organization in Collective Action: Elinor Ostrom’s Contributions and Complexity Theory
Complexity, Governance & Networks, 2014 Elinor Ostrom’s contributions to the understanding self-organization in collective action processes are discussed from a complexity theory perspective. It is argued that complexity researchers can learn from Ostrom’s theory building process, as well her ...
Göktuğ Morçöl
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