Epistemic community structure

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Table of contents

General introduction 
I Knowledge Community Structure 
Introduction
1 Epistemic communities
1.1 Context
1.2 Definitions
1.3 Formal framework
2 Building taxonomies
2.1 Taxonomies and lattices
2.2 Galois lattices
2.3 GLs and categorization
2.3.1 About relevant categorization
2.3.2 Assumptions on EC structure
2.3.3 GLs and selective categorization
2.4 Comparison with different approaches
3 Empirical results
3.1 Experimental protocol
3.2 Results and comparison with random relations
3.2.1 Empirical versus random
3.2.2 Rebuilding the structure
4 Community selection
4.1 Rationale
4.2 Selection methodology
5 Taxonomy evolution
5.1 Empirical protocol
5.2 Case study, dataset description
5.3 Rebuilding history
5.3.1 Evolution description
5.3.2 Inference of an history
5.3.3 Comparison with real taxonomies
6 Discussion and conclusion
II Micro-foundations of epistemic networks 
Introduction
7 Networks
7.1 Global overview
7.2 A brief survey of growth models
7.3 Epistemic networks
8 High-level features
8.1 Empirical investigation
8.2 Degree distributions
8.3 Clustering
8.4 Epistemic community structure
9 Low-level dynamics
9.1 Measuring interaction behavior
9.1.1 Monadic PA
9.1.2 Dyadic PA
9.1.3 Interpreting interaction propensions
9.1.4 Activity and events
9.2 Empirical PA
9.2.1 Degree-related PA
9.2.2 Homophilic PA
9.2.3 Other properties
9.2.4 Concept-related PA
9.3 Growth- and event-related parameters
9.3.1 Network growth
9.3.2 Size of events
9.3.3 Exchange of concepts
10 Towards a rebuilding model
10.1 Outline
10.2 Design
10.3 Results
10.4 Discussion
Conclusion
III Coevolution, Emergence, Stigmergence 
Introduction
11 Appraising levels
11.1 Accounting for levels
11.2 Emergentism
11.3 What levels are not
11.4 Observational reality of levels
11.4.1 Different modes of access
11.4.2 Illustrations
12 Complex system modeling
12.1 Complexity and reconstruction
12.1.1 Objectives
12.1.2 Commutative decomposition
12.1.3 Reductionism failure
12.1.4 Emergentism
12.2 A multiple mode of access
12.2.1 The observational viewpoint
12.2.2 Introducing new levels
12.2.3 Rethinking levels
13 Reintroducing retroaction
13.1 Differentiating objects
13.2 Agent behavior, semantic space
13.3 Coevolution of objects
13.4 “Stigmergence”
Conclusion
General conclusion
Version française abrégée
Introduction
Partie I — Structure des communautés de savoirs
1.1 Cadre formel
1.2 Treillis de Galois: des relations aux taxonomies dynamiques
1.3 Etude de cas
Partie II — Micro-fondations des réseaux épistémiques
2.1 Réseaux
2.2 Caractéristiques de haut-niveau
2.3 Dynamique de bas-niveau
2.3.1 Mesure du comportement d’interaction
2.3.2 AP empirique
2.3.3 Paramètres liés à la croissance et aux événements
2.4 Modèle de reconstruction
Partie III— Coévolution, émergence, stigmergence
3.1 Niveaux de description
3.2 Modélisation des systèmes complexes
3.2.1 Complexité et reconstruction
3.2.2 Réintroduire la rétroaction
Conclusion
List of figures
References