scholarly journals A Dynamic Network Formation Model for Understanding Bacterial Self-Organization Into Micro-Colonies

2015 ◽  
Vol 1 (1) ◽  
pp. 76-89 ◽  
Author(s):  
Luca Canzian ◽  
Kun Zhao ◽  
Gerard C. L. Wong ◽  
Mihaela van der Schaar
Keyword(s):  
Network Formation ◽  
Dynamic Network ◽  
Self Organization ◽  
Formation Model ◽  
Dynamic Network Formation

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

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.

scholarly journals Task-Related Edge Density (TED)—A New Method for Revealing Dynamic Network Formation in fMRI Data of the Human Brain

PLoS ONE ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. e0158185 ◽  
Author(s):  
Gabriele Lohmann ◽  
Johannes Stelzer ◽  
Verena Zuber ◽  
Tilo Buschmann ◽  
Daniel Margulies ◽  
...  
Keyword(s):  
Human Brain ◽  
Network Formation ◽  
Dynamic Network ◽  
New Method ◽  
Fmri Data ◽  
Edge Density ◽  
Dynamic Network Formation

scholarly journals An Efficient Network Discovery Storage based Resilient Packet-Forwarding Scheme for the Mitigation of Black Hole and Wormhole Attacks in 6lowpan Sensor Networks

2019 ◽  
Vol 8 (2) ◽  
pp. 1543-1547
Keyword(s):  
Black Hole ◽  
Sensor Networks ◽  
Network Formation ◽  
Dynamic Network ◽  
Sensor Nodes ◽  
Packet Forwarding ◽  
Wireless Devices ◽  
Network Layer ◽  
Network Discovery ◽  
Dynamic Network Formation

In wireless networks 6LOWPAN with the low power wireless devices has limited processing capabilities. In this network, the malicious node attacks at the network layer due to its nature of self configuration and dynamic network formation. It increased number of packet dropping attacks in network layer like Black Hole attacks and Worm Hole Attacks may cause the undesired operations in the time of routing the packet transfer. It degrades the performance of the legitimate users in the network. This work proposes an Efficient Network Discovery Storage Based Resilient Packet-Forwarding Scheme for the mitigation of malicious black hole and wormhole attacked nodes in 6Lowpan Sensor Networks. It also cooperates to manage the storage and prevent packet drop of sensor nodes present in the 6lowpan network.

scholarly journals Intermediate structural hierarchy in biological networks modulates the fractal dimension and force distribution of percolating clusters

2021 ◽  
Author(s):  
Benjamin S Hanson ◽  
Lorna Dougan
Keyword(s):  
Biological Networks ◽  
Building Block ◽  
Rational Design ◽  
Network Formation ◽  
Dynamic Network ◽  
Force Transmission ◽  
Structural Hierarchy ◽  
Network Properties ◽  
Protein Hydrogels ◽  
Dynamic Network Formation

Globular protein hydrogels are an emerging class of materials with the potential for rational design, and a generalised understanding of how their network properties emerge from the structure and dynamics of the building block is a key challenge. Here we computationally investigate the effect of intermediate (polymeric) nanoscale structure on the formation of protein hydrogels. We show that changes in both the cross-link topology and flexibility of the polymeric building block lead to changes in the force transmission around the system, and provide insight into the dynamic network formation processes.

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