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The study of complex networks provides us with a brand new perspective to understand nature and also reveals that nature is far from being random. Our work focuses on the topological analysis of networks in terms of nearest neighbor degree correlation. It is described by the semi-empirical Aboav- Weaire Law which has been verified in various real and artificial systems. In this thesis, we generalize this law from the nearest to long distance neighbors degree correlation in different artificial network models as well as real systems. We also report two practical applications of the Aboav- Weaire law in identifying two special classes of networks, the hierarchical network and the bipartite network. In the study of the bipartite metabolic network of 43 different organisms, we have found a data collapse in the Aboav curves which shows that these networks have high level of structural similarity. We also borrowed the concept of topological charge from two-dimensional cellular network and defined an analogy of the Aboav- Weaire Law for directed networks. We have tested our tools in co-occurrence language network, protein interaction network, World Wide Web network, AS level Internet network and food webs. We have discovered a universal behavior in the average neighboring charge in these networks and it is different from the Aboav- Weaire Law in undirected networks.

The study of complex networks provides us with a brand new perspective to understand nature and also reveals that nature is far from being random. Our work focuses on the topological analysis of networks in terms of nearest neighbor degree correlation. It is described by the semi-empirical Aboav- Weaire Law which has been verified in various real and artificial systems. In this thesis, we generalize this law from the nearest to long distance neighbors degree correlation in different artificial network models as well as real systems. We also report two practical applications of the Aboav- Weaire law in identifying two special classes of networks, the hierarchical network and the bipartite network. In the study of the bipartite metabolic network of 43 different organisms, we have found a data collapse in the Aboav curves which shows that these networks have high level of structural similarity. We also borrowed the concept of topological charge from two-dimensional cellular network and defined an analogy of the Aboav- Weaire Law for directed networks. We have tested our tools in co-occurrence language network, protein interaction network, World Wide Web network, AS level Internet network and food webs. We have discovered a universal behavior in the average neighboring charge in these networks and it is different from the Aboav- Weaire Law in undirected networks.

The study of complex networks provides us with a brand new perspective to understand nature and also reveals that nature is far from being random. Our work focuses on the topological analysis of networks in terms of nearest neighbor degree correlation. It is described by the semi-empirical Aboav- Weaire Law which has been verified in various real and artificial systems. In this thesis, we generalize this law from the nearest to long distance neighbors degree correlation in different artificial network models as well as real systems. We also report two practical applications of the Aboav- Weaire law in identifying two special classes of networks, the hierarchical network and the bipartite network. In the study of the bipartite metabolic network of 43 different organisms, we have found a data collapse in the Aboav curves which shows that these networks have high level of structural similarity. We also borrowed the concept of topological charge from two-dimensional cellular network and defined an analogy of the Aboav- Weaire Law for directed networks. We have tested our tools in co-occurrence language network, protein interaction network, World Wide Web network, AS level Internet network and food webs. We have discovered a universal behavior in the average neighboring charge in these networks and it is different from the Aboav- Weaire Law in undirected networks.

This paper reports a longitudinal study on how Asian, European, Japanese, and US firms entered the People's Republic of China since the country re-opened her doors in late 1970s. The results of an investigation of 6257 foreign business operations suggest that the firms from these regions assumed distinct strategies in China. Asian firms were willing to take risks, aggressive, and linked well with Municipal governments. They had a high likelihood of forming strategic alliances with Asian and international partners, and of being located in Special Economic Zones. The European firms were more conservative and independent. They were more likely to adopt the export mode, to deal mostly with State governments and were least likely to form stategic alliances with other firms. The Japanese and US firms showed a high level of flexibility in adapting their strategies as the Chinese investment environment changed over time. The Japanese firms had the highest likelihood of teaming up with other Japanese firms, reflecting the role of "Keiretsus" in Japanese overseas operations.

This paper reports a longitudinal study on how Asian, European, Japanese, and US firms entered the People's Republic of China since the country re-opened her doors in late 1970s. The results of an investigation of 6257 foreign business operations suggest that the firms from these regions assumed distinct strategies in China. Asian firms were willing to take risks, aggressive, and linked well with Municipal governments. They had a high likelihood of forming strategic alliances with Asian and international partners, and of being located in Special Economic Zones. The European firms were more conservative and independent. They were more likely to adopt the export mode, to deal mostly with State governments and were least likely to form stategic alliances with other firms. The Japanese and US firms showed a high level of flexibility in adapting their strategies as the Chinese investment environment changed over time. The Japanese firms had the highest likelihood of teaming up with other Japanese firms, reflecting the role of "Keiretsus" in Japanese overseas operations.