This thesis draws on existing social network theory and neo-institutional theory of organisations in order to illustrate the meso-level social order of network structure and institutionalised meaning that conditions social change and micro social interactions. From this vantage point, it is possible ...
The core items in the network structure of the CH-SAS were related to excessive self-immersion, uncontrollability and anxiety aspects of self-absorption. The Cronbach's alpha coefficient for the CH-SAS was 0.903 while the McDonald's omega coefficient was 0.916 and the test-retest reliability ...
In subject area: Computer Science Communication Network Architecture refers to the design and structure of networks that enable the transfer of data from wireless sensor nodes to specific stations for analysis or storage. It can be implemented using either a flat network architecture where sensor nodes...
system, in which the multiperiod includes the dynamic evolutions of the Kenyan banking system of every bank and the structure of the interbank network ... H Fan,AAAL Lukaya,QQ Gao - 《Complexity》 被引量: 1发表: 2018年 Financial Contagion in the Laboratory: Does Network Structure Matter?
By using Azure Virtual Network, you can build complex virtual networks that emulate the structure of your actual on-premises networks. You can provision and manage your cloud-based virtual networks. You also can create hybrid virtual networks that integrate with your on-premises networks when you ...
This paper examines the spatial pattern of the population flow network and its implications for containing epidemic spread in China. The hierarchical and spatial subnetwork structure of national population movement networks is analysed by using Baidu mig
802.16Wireless metropolitan area networksCovers mobile and wireless broadband access in wireless metropolitan area networks (WMANs) Network infrastructure There are several network standard-compliant devices that make up the structure of your networks. Depending on the network's size, you might use severa...
The analysis of network interactions among dynamical units and the impact of the coupling on self-organized structures is a challenging task with implications in many biological and engineered systems. We explore the coupling topology that arises through
: From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness (ICLR 2022) FeaturePropagation from Rossi et al.: On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs with Missing Node Features (CoRR 2021) Scalable GNNs: PyG supports the implementation of Graph...
In contrast to other network dataset for power grids, we especially focus on preserving the physical structure of nodes’ connection incorporating the ‘tap’ structure. As a result, we provide three different versions of the dataset: ‘with-tap’, ‘without-tap’, and ‘reduced versions’. ...