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Triangulation of network metaphors

This study aims to collide the analysis of network topology and communication within networks by examining the different meanings and uses of the network metaphor. It seeks to combine the perspectives of complex network theory and social network analysis to understand the dynamic mechanisms behind network structures and communication processes. The study also explores the possibility of analyzing evolving networks from the perspective of communication as sharing ideas rather than the transfer of information.

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Triangulation of network metaphors

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  1. Triangulation of network metaphors The Royal Netherlands Academy of Arts and Sciences Iina Hellsten & Andrea Scharnhorst Networked Research and Digital Information – Nerdi The Royal Netherlands Academy of Arts & Sciences in Amsterdam www.nerdi.knaw.nl Andrea.scharnhorst@niwi.knaw.nl Iina.Hellsten@niwi.knaw.nl CREEN meeting, Karlsruhe June 2-4, 2005

  2. Introduction: Key concepts Network:a structure composed of nodes and links between the nodes Different views on network:1)complex network theory interested in the topology and dynamics of/on networks 2)social network analysis interested in the social processes leading to network structures Related concepts: Avalanche:only in relation to evolving networks Critical events:only in relation to evolving networks

  3. Network as a metaphor * Background:Metaphors robust and flexible at the same time; network as a metaphor of specific structure as well as the relations within that structure * Focus: Triangulation of the different meanings and uses of the metaphor of network *Aim: Colliding the analysis of the topology of networks and the semantics in the networks * Question:Can a meta-perspective of the notions of network help us combine the analysis of the topology of network and the communication in the network?

  4. Social network theory Dynamic mechanisms behind the network structure Social mechanisms behind the network structure Complex network theory

  5. Network:Complex network theory DISCIPLINARY BACKGROUND:statisticalphysics,non-linear dynamics; self-organization theories, complexity theory FOCUS: large networks; universalities in the topology of networks & dynamics of the evolution of the networks DEFINITION OF NETWORK:“Networks with complex topology describe systems as diverse as the cell or the World Wide Web. The emergence of these networks is driven by self-organizing processes that are governed by simple but generic laws.”(Barabási et al., 2001) UNDERLYING VIEW ON COMMUNICATION as transfer of information

  6. Network:Social network analysis DISCIPLINARY BACKGROUND:social sciences, sociology FOCUS: small networks; social relations between individuals; communication in the networks DEFINITION:“Social network analysis focuses on relationships among social entities, and on the patterns and implications of these relationships” (Wasserman & Faust, 1994) UNDERLYING VIEW ON COMMUNICATION as cultural sharing of ideas and forming groups

  7. “Networks” and “complex networks”, Web of Science, 1981-2004.

  8. “Complex networks” in different disciplines, 1990-2002.

  9. Cluster 1: ACTIVE, BIOLOGICAL, FUNCTION, COMMUNICATION Cluster 2: FUNCTIONAL, ORGANIZATION, INFORMATION, WATER Cluster 3: CELL, CELLS, PROTEIN, MOLECULAR, MOLECULES / NEURON SYNAPTIC Cluster 4: BRAIN, CYTOKINES, EXPRESSION, RESPONSE, GENE / PATHWAYS, SIGNALING Cluster 5: ALGORITHM, RELIABILITY, COMPUTER Cluster 6: CONTROL MANAGEMENT / FLOW, PERFORMANCE, ROUTING, TRAFFIC Cluster 7: CONNECTIONS, CONNECTIVITY, FREE, RANDOM, GRAPHS, SOCIAL, STRUCTURAL Cluster 8: DYNAMICS, POWER, SMALL, STRUCTURE, SIMULATION, SCALE, WEB, WORLD / EVOLUTION, INTERACTIONS, GROWTH, GENETIC

  10. Trading zone Dynamic mechanisms of growth & decay Time series (snapshots) of one network avalanches topic bursts Semantic maps Complex networks Topology & semantics Social networks Hyperlinks Knowledge domains clusters communities Co-authorship network Ego network

  11. Further questions * How to apply the different notions of network in the analysis of the case studies? * Using concept pairs from social network & complex network theory (topic bursts – avalanches; social communities – clusters)? * * Would it be possible to analyze large evolving networks from the point of view of communication as sharing of ideas instead of transfer of information?

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