Finding Biologically Plausible Complex Network Topologies with a New Evolutionary Approach for Network Generation

Author(s):  
Gordon Govan ◽  
Jakub Chlanda ◽  
David Corne ◽  
Alex Xenos ◽  
Pierluigi Frisco
2011 ◽  
Vol 94 (1) ◽  
pp. 10002 ◽  
Author(s):  
E. Agliari ◽  
A. Barra

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Roberto Interdonato ◽  
Martin Atzmueller ◽  
Sabrina Gaito ◽  
Rushed Kanawati ◽  
Christine Largeron ◽  
...  

2009 ◽  
Vol 19 (4) ◽  
pp. 1-29 ◽  
Author(s):  
Xenofontas Dimitropoulos ◽  
Dmitri Krioukov ◽  
Amin Vahdat ◽  
George Riley

2011 ◽  
Vol 26 (S1) ◽  
pp. s95-s95
Author(s):  
A. Trufanov ◽  
A. Rossodivita ◽  
M. Aminova ◽  
A. Tikhomirov ◽  
A. Caruso ◽  
...  

IntroductionIn order to counteract disasters and emergencies, it is necessary to build cooperation and collaboration among all entities and actors. Field teams of rescuers require support from the State experiencing a disaster. The responses to the earthquake in Haiti demonstrated a lack of cooperation and collaboration and the rescuers encountered concomitant difficulties. Thus, the problems in the field are not only related to natural and technological aspects, but also social and political contexts. It is time to explore the role of the impact of State power on national and international disasters and emergencies. One modern and fruitful instrument for analysis of these complicated social and group processes is Complex Network modeling. Complex Network tools have been applied successfully to understanding and counteracting such threats as they relate to the spread of infectious diseases and/or to terrorist activities. Another significant utilization of the Complex Network approach is to develop good governance, management, and organizational processes in national and corporate landscapes.MethodsBased on a Complex Network Scope, a novel, three-layer network model of public connections for diverse State regimes for further simulation is proposed. Quantitative assessments and practical processes should be implemented for countering global disasters using international and interdisciplinary teams. Contrary to the known hierarchical layer approach for knowledge acquisition, this new model describes an overall national Society Network by dividing the approach into the three layers: (1) Formal (State), as hierarchical governments structures; (2) Informal (presented by different long-term sustainable link groups); and (3) Informal (aquatinters with short term links (“weak ties”).ResultsAccording to each of these layers, one of three types of network topologies exist: (1) hierarchical; (2) scale-free; and (3) random, respectively.


Entropy ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 26
Author(s):  
Francesca Sansavini ◽  
Valentina Parigi

Complex networks structures have been extensively used for describing complex natural and technological systems, like the Internet or social networks. More recently, complex network theory has been applied to quantum systems, where complex network topologies may emerge in multiparty quantum states and quantum algorithms have been studied in complex graph structures. In this work, we study multimode Continuous Variables entangled states, named cluster states, where the entanglement structure is arranged in typical real-world complex networks shapes. Cluster states are a resource for measurement-based quantum information protocols, where the quality of a cluster is assessed in terms of the minimal amount of noise it introduces in the computation. We study optimal graph states that can be obtained with experimentally realistic quantum resources, when optimized via analytical procedure. We show that denser and regular graphs allow for better optimization. In the spirit of quantum routing, we also show the reshaping of entanglement connections in small networks via linear optics operations based on numerical optimization.


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