scholarly journals Expected Price of Anarchy for the Dynamic Network Formation Game Model

2013 ◽  
Vol 21 (1) ◽  
pp. 2-8
Author(s):  
Tetsuo Imai ◽  
Atsushi Tanaka
Keyword(s):  
Network Formation ◽  
Price Of Anarchy ◽  
Dynamic Network ◽  
Game Model ◽  
Dynamic Network Formation ◽  
Network Formation Game ◽  
Formation Game

scholarly journals Dynamic network formation with incomplete information

2015 ◽  
Vol 59 (2) ◽  
pp. 301-331 ◽  
Author(s):  
Yangbo Song ◽  
Mihaela van der Schaar
Keyword(s):  
Incomplete Information ◽  
Network Formation ◽  
Dynamic Network ◽  
Dynamic Network Formation

Stable Production Networks

2020 ◽  
Vol 22 (02) ◽  
pp. 2040006
Author(s):  
Manish Sarkhel ◽  
Nagarajan Krishnamurthy
Keyword(s):  
Network Formation ◽  
Industrial Clusters ◽  
Network Structures ◽  
Production Networks ◽  
Network Stability ◽  
Second Stage ◽  
Stable Production ◽  
Network Formation Game ◽  
Formation Game ◽  
Number Of Firms

One of the key features which promote growth of industrial clusters is collaboration among firms within such clusters. Collaboration among firms leads to the formation of networks. Stability of these networks is vital to the sustainability of the particular firms. In this paper, we model a supply chain network where a set of downstream firms (players) source inputs from upstream firms (players) who manufacture goods, add value to the products and resell them. The upstream firms produce identical goods and compete on quantities to sell these goods to the downstream firms. The upstream firms procure goods from the downstream firms and sell them. Additionally, upstream firms network among themselves so as to reduce their costs. We model this setting as a two-stage [Formula: see text]-player strategic network formation game. Firms decide their links before competing on quantities in the second stage of the game. Using the defined model, we derive equilibrium quantities and profits as a function of the network structure and number of firms. Following which we analyze the conditions under which different stable network emerge. Our analysis brings forth several interesting insights such as higher connections among downstream players lead to increased profits for upstream manufacturers. From the network stability perspective, we obtain the conditions under which regular, star, etc. network structures are pairwise and bilaterally stable. Furthermore, we also find the conditions under which core–periphery network structures emerge and are stable.

scholarly journals A Note on Connectivity and Stability in Dynamic Network Formation

Games ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 49
Author(s):  
Tackseung Jun ◽  
Jeong-Yoo Kim
Keyword(s):  
Network Formation ◽  
Dynamic Network ◽  
Static Model ◽  
Formation Problem ◽  
Dynamic Network Formation

We consider the dynamic network formation problem under the requirement that the whole network be connected and remain connected after q nodes are destroyed. We propose the concept of dynamic Cq-stability and characterize dynamic Cq-stable networks for any q≥0. Comparison with the outcome in the static model is also discussed.

Self-healing and reprocessable bromo butylrubber based on combined ionic cluster formation and hydrogen bonding

2020 ◽  
Vol 11 (6) ◽  
pp. 1188-1197 ◽  
Author(s):  
Sebastian Stein ◽  
Anton Mordvinkin ◽  
Brigitte Voit ◽  
Hartmut Komber ◽  
Kay Saalwächter ◽  
...  
Keyword(s):  
Hydrogen Bonding ◽  
Network Formation ◽  
Cluster Formation ◽  
Dynamic Network ◽  
Self Healing ◽  
Competing Interactions ◽  
Ionic Cluster ◽  
Dynamic Network Formation

The properties of modified bromobutyl rubber are strongly influenced by competing interactions via hydrogen bridges and ionic cluster formation. Dynamic network formation enables self-healing and reprocessability of the material.

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