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European Conference on Complex Systems
Pascal

Efficiency and Stability of Evolving Innovation Networks

author: Frank Schweitzer, Chair of Systems Design, ETH Zurich

Description

We present a model of network evolution in which the formation/deletion of links is coupled with the dynamics of the state variable of the nodes of the network. The model is originally intended to describe an economic network of agents engaged in knowledge production through knowledge exchange, although the framework can be generalized to other evolving networks. With respect to previous works, we improve by investigating how rich structures can emerge or collapse, depending on the individual rule of link formation/deletion used by selfish and boundedly rational agents. We characterize the emerging network topologies in terms of their efficiency and stability. The model reproduces qualitatively the main stylized facts of innovation networks, namely that they are sparse, locally dense and heterogeneous in degree.

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Slides
0:00 Efficiency and Stability of Evolving Innovation Networks
0:24 Economic Networks - part 1
0:36 Economic Networks - part 2
3:45 Economic Networks - part 3
5:32 Economic Networks - part 4
5:52 Economic Networks - part 5
6:24 Economic Networks - part 6
8:24 Modeling: Innovation Networks
8:52 Firm-based Network Evolution
10:54 Model Outline: Node Dynamics
13:57 Model Outline: Network Dynamics
15:37 Baseline case: linear benefit and null costs - part 1
17:05 Baseline case: linear benefit and null costs - part 2
17:50 Knowledge Growth with Linear Costs
20:35 Results for static networks
21:05 Knowledge Growth with Linear Costs
21:30 Results for static networks
24:04 Network Dynamics
26:29 Simulations: Average Asymptotic Net Returns
28:22 Simulations: Growing Networks
30:12 Further results
30:46 Knowledge Growth with Quadratic Costs
32:20 Case 1: indirect Reciprocity, linear benefit, squared costs
33:44 Case 2: direct reciprocity, linear benefit, squared costs
34:20 Case 3: ind. reciprocity, weighted linear benefit, squared costs
35:48 Conclusions
37:14 Open Positions for PostDocs and PhD Students

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