FAS.research ABSTRACTS
2004 SUNBELT XXIV International Sunbelt Social Network Conference May 12 - 16, 2004
What makes SCIENCES INNOVATIVE? The measurement of innovation potential and its application in the Austrian academic research network
First Author:
Wolfgang Neurath
Federal Ministry for Economic Affairs and Labour
A-1011 Wien, Stubenring 1, Austria
wolfgang.neurath@bmwa.gv.at
Second Author:
Harald Katzmair, Director
FAS.research
A-1090 Vienna, Müllnergasse 3/1, Austria
harald.katzmair@fas.at
What makes SCIENCES INNOVATIVE? The measurement of innovation potential and its application in the Austrian academic research network
Most recent research on the structure of innovative networks has identified three main factors underlying the innovation capacity and robustness of successful networks: first, the structural embedded ability to broker between different sources of information and problem-solving strategies (including the capacity to stand unbalanced triads); second, the diversity and multi-dimensionality of the network; third, the overall structure of the innovation landscape (existence of percolating clusters adapted for “adaptive walks” and learning behavior). While there are sound models for measuring the brokerage ability of networks (Gould Fernandez indices, Burt indices, E-I index etc.) as well as the overall structure of the innovation landscape (domain analysis, fragmentation coefficient, clustering coefficient, overall network centrality etc.) techniques to model the comparative diversity of networks are far less standardized. This paper presents several approaches to measuring the innovation potential derived from the field of complexity theory, ecology and the neo-Schumpeter informed tradition of innovation theory. The practical application of these models is illustrated by the example of the collaboration network of 1050 academic disciplines and subdisciplines. Data is compiled from more than 5000 academic research projects funded by the Austrian Science Fund (FWF) between 1995 and 2003.
DYNAMIZING STATIC NETWORKS – Simulation experiments in the context of power structures
First Author:
Harald Katzmair, Director
FAS.research
A-1090 Vienna, Müllnergasse 3/1, Austria
harald.katzmair@fas.at
Second Author:
Jürgen Pfeffer
FAS.research
A-1090 Vienna, Müllnergasse 3/1, Austria
pfeffer@bsa.at
DYNAMIZING STATIC NETWORKS – Simulation experiments in the context of power structures
Drawing on models from the field of complexity theory (adaptive walks on rugged power landscapes), clustering theory and E-state structuralism the paper contributes to current efforts in dynamic network analysis (DNA). Taking a certain network structure, the paper focuses on how to identify the most influential attractor in the k-step environment of an individual node. The aim of the paper is to present several algorithms which simulate the future behavior of a given static network (probabilistic scenario analysis). The paper describes the basic assumptions of these models as well as the technical structure of the algorithms. The practical application of these models is illustrated by the example of the directorial interlock network of the Austrian fortune 2500 enterprises.
Covering the elite structure of a modern western society. The case of Austria.
First Author:
Doris Spielthenner, Research Assistance
FAS.research
A-1090 Vienna, Müllnergasse 3/1, Austria
doris.spielthenner@fas.at
Other Authors:
Ruth Pfosser, Research Assistance
FAS.research
A-1090 Vienna, Müllnergasse 3/1, Austria
ruth.pfosser@fas.at
Christian Gulas, Research Assistance
FAS.research
A-1090 Vienna, Müllnergasse 3/1, Austria
christian.gulas@fas.at
Maximilian Ruhri, Research Assistance
FAS.research
A-1090 Vienna, Müllnergasse 3/1, Austria
maximilian.ruhri@fas.at
Harald Katzmair, Director
FAS.research
A-1090 Vienna, Müllnergasse 3/1, Austria
harald.katzmair@fas.at
Covering the elite structure of a modern western society. The case of Austria.
The paper presents first findings of a long-term research project on the social morphology of the economical, technological and cultural key sectors of Austrian society. Drawing on compiled information on 120,000 Austrian opinion leaders and over 10,000 affiliations (directoral board memberships, juries, event participation, event locations, memberships in professional and private associatations, VIP lists etc.) the paper compares the specific structural characteristics (group centrality, power law distribution; fragmentation rate, degree correlation etc.) as well as the interconnectedness (brokerage roles, E-I index) of the following sectors and areas: economy (fortune 2500), media & advertisment, medicine & health, science & technology, high society networks (local celebreties, VIP´s etc.); The underlying data sources range from the commercial register, television, newspapers and gossip columns to membership lists, best-of–rankings, biographical sources and internet databases.
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