Arriving to the east African coast in the 16th century, Portuguese faced an important and well-structured commercial network dominated by Muslim merchants. Operating throughout the Indian Ocean and in articulation wit...Arriving to the east African coast in the 16th century, Portuguese faced an important and well-structured commercial network dominated by Muslim merchants. Operating throughout the Indian Ocean and in articulation with the inland African trade routes by way of the coastal settlements from Bazaruto up to the north of Mozambique, this network bustled luxury goods and basic goods benefiting either from a network of inter-personal relationships and kinship that supported the whole business, or from an ancestral knowledge on the techniques and particular procedures indispensable to navigating in the Indian Ocean. This trade made the prosperity of small southern ports, like Sofala or Mozambique long before the Portuguese arrival. However, this trade was so much dependent on the network＇s capacity of organisation and the supply demand relation of the goods involved, as well as on other factors such as the political stability of the African kingdoms, the environmental changes that shaped flows and trade routes or the actual knowledge of the region and of the different forms of organization of local communities. By focusing in the ports of Sofala and Mozambique and the information provided by the Portuguese documents we intend to analyse its evolution during the 16th century in order to understand its role in the Indian Ocean commercial network under Portuguese rule.展开更多
This paper uses an extensive network approach to "East Turkistan" activities by building both the one-mode and the bipartite networks for these activities.In the one-mode network,centrality analysis and spec...This paper uses an extensive network approach to "East Turkistan" activities by building both the one-mode and the bipartite networks for these activities.In the one-mode network,centrality analysis and spectrum analysis are used to describe the importance of each vertex.On this basis,two types of core vertices——The center of communities and the intermediary vertices among communities— are distinguished.The weighted extreme optimization(WEO) algorithm is also applied to detect communities in the one-mode network.In the "terrorist-terrorist organization" bipartite network,the authors adopt centrality analysis as well as clustering analysis based on the original bipartite network in order to calculate the importance of each vertex,and apply the edge clustering coefficient algorithm to detect the communities.The comparative and empirical analysis indicates that this research has been proved to be an effective way to identify the core members,key organizations,and communities in the network of "East Turkistan" terrorist activity.The results can provide a scientific basis for the analysis of "East Turkistan" terrorist activity,and thus provide decision support for the real work of "anti-terrorism".展开更多
文摘Arriving to the east African coast in the 16th century, Portuguese faced an important and well-structured commercial network dominated by Muslim merchants. Operating throughout the Indian Ocean and in articulation with the inland African trade routes by way of the coastal settlements from Bazaruto up to the north of Mozambique, this network bustled luxury goods and basic goods benefiting either from a network of inter-personal relationships and kinship that supported the whole business, or from an ancestral knowledge on the techniques and particular procedures indispensable to navigating in the Indian Ocean. This trade made the prosperity of small southern ports, like Sofala or Mozambique long before the Portuguese arrival. However, this trade was so much dependent on the network＇s capacity of organisation and the supply demand relation of the goods involved, as well as on other factors such as the political stability of the African kingdoms, the environmental changes that shaped flows and trade routes or the actual knowledge of the region and of the different forms of organization of local communities. By focusing in the ports of Sofala and Mozambique and the information provided by the Portuguese documents we intend to analyse its evolution during the 16th century in order to understand its role in the Indian Ocean commercial network under Portuguese rule.
基金supported by the Natural Science Foundation of China under Grants Nos.70771011 and 61174150the Program for New Century Excellent Talents in University of Ministry of Education of China under Grant No.NCET-09-0228+1 种基金Ph.D.Programs Foundation of Ministry of Education of China under Grant No.20110003110027the China Scholarship Council(CSC)
文摘This paper uses an extensive network approach to "East Turkistan" activities by building both the one-mode and the bipartite networks for these activities.In the one-mode network,centrality analysis and spectrum analysis are used to describe the importance of each vertex.On this basis,two types of core vertices——The center of communities and the intermediary vertices among communities— are distinguished.The weighted extreme optimization(WEO) algorithm is also applied to detect communities in the one-mode network.In the "terrorist-terrorist organization" bipartite network,the authors adopt centrality analysis as well as clustering analysis based on the original bipartite network in order to calculate the importance of each vertex,and apply the edge clustering coefficient algorithm to detect the communities.The comparative and empirical analysis indicates that this research has been proved to be an effective way to identify the core members,key organizations,and communities in the network of "East Turkistan" terrorist activity.The results can provide a scientific basis for the analysis of "East Turkistan" terrorist activity,and thus provide decision support for the real work of "anti-terrorism".
