Small-world network theory in the study of network connectivity and efficiency of complementary international airline alliances

2008 ◽  
Vol 14 (3) ◽  
pp. 123-129 ◽  
Author(s):  
Chaug-Ing Hsu ◽  
Hsien-Hung Shih
Keyword(s):  
Network Theory ◽  
Network Connectivity ◽  
Small World ◽  
Small World Network ◽  
Airline Alliances ◽  
International Airline

An Effective Self-Adapting Localization Algorithm in Wireless Sensor Networks

2011 ◽  
Vol 58-60 ◽  
pp. 1013-1017 ◽  
Author(s):  
Fu Fang Li ◽  
Fei Luo ◽  
Jian Xiong Wang ◽  
De Yu Qi ◽  
Guo Wen Xie
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Theory ◽  
Hot Spot ◽  
Small World ◽  
Wireless Sensor ◽  
Small World Network ◽  
Localization Algorithm ◽  
Challenging Problem ◽  
Measured Distance

Research on nodes localization in Wireless Sensor Networks (WSN) has been a hot spot in recent years. How to improve the reliability and accuracy of nodes localization is a hard and challenging problem in the area, and is far to be solved satisfactorily. This paper proposes an effective self-adapting localization algorithm in WSN based on optimized RSSI and DV-Distance algorithm. In order to enhance the precision of localization, the presented algorithm introduces an effective method to reduce the error of RSSI-measured distance. The algorithm also uses Small-World-Network theory to help select beacon nodes from localized normal nodes, so as to raise the performance and efficiency. Experimental results show that the algorithm has effectively improved the accuracy, self adaptivity, performance and efficiency of nodes localization in WSN.

Applications of Small-World Network Theory in Alcohol Epidemiology

2006 ◽  
Vol 67 (4) ◽  
pp. 591-599 ◽  
Author(s):  
Richard J. Braun ◽  
Robert A. Wilson ◽  
John A. Pelesko ◽  
J. Robert Buchanan ◽  
James P. Gleeson
Keyword(s):  
Network Theory ◽  
Small World ◽  
Small World Network

scholarly journals Structure of Small World Innovation Network and Learning Performance

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Shuang Song ◽  
Xiangdong Chen ◽  
Gupeng Zhang
Keyword(s):  
Multinational Corporations ◽  
Network Connectivity ◽  
Small World ◽  
Policy Implications ◽  
Learning Performance ◽  
Innovation Network ◽  
Small World Network ◽  
Tail Of Distribution ◽  
The Individual ◽  
Conclusion Section

This paper examines the differences of learning performance of 5 MNCs (multinational corporations) that filed the largest number of patents in China. We establish the innovation network with the patent coauthorship data by these 5 MNCs and classify the networks by the tail of distribution curve of connections. To make a comparison of the learning performance of these 5 MNCs with differing network structures, we develop an organization learning model by regarding the reality as havingmdimensions, which denotes the heterogeneous knowledge about the reality. We further setninnovative individuals that are mutually interactive and own unique knowledge about the reality. A longer (shorter) distance between the knowledge of the individual and the reality denotes a lower (higher) knowledge level of that individual. Individuals interact with and learn from each other within the small-world network. By making 1,000 numerical simulations and averaging the simulated results, we find that the differing structure of the small-world network leads to the differences of learning performance between these 5 MNCs. The network monopolization negatively impacts and network connectivity positively impacts learning performance. Policy implications in the conclusion section suggest that to improve firm learning performance, it is necessary to establish a flat and connective network.

A Topology Structure Control Algorithm of Wireless Sensor Network by Using Small World Model

2013 ◽  
Vol 325-326 ◽  
pp. 1023-1027
Author(s):  
Pan Song
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Topology Control ◽  
Control Algorithm ◽  
Network Connectivity ◽  
Small World ◽  
Wireless Sensor ◽  
Small World Network ◽  
Structure Control ◽  
Super Node

The small world network has higher convergence coefficient and shorter average path length. This paper introduce small world theory to the wireless sensor network, and propose a topology control algorithm of wireless sensor network based on NW small world network model. The design of algorithm is hierarchical, which include formation of super node ring, common node join clusters, maintenance the load balance of common node in cluster, and maintenance the super node ring when super node is failure. The experiment shows that the topology control algorithm has the characteristics of small world network, the network connectivity is good, and the lifetime of wireless sensor network is prolonged.

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