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Until the early 1970s the infamous ‘White Australia Policy’ restricted certain types of migrants from entering Australia, particularly those of Asian background, with the goal of creating an ‘Anglo-Celtic’ Australian nation. Post-war mass migration, mostly from Europe, had a significant impact on the ethnic composition of the population. Despite attempts to enforce a mostly ‘British’ migration, the resulting programme would see migrants come from many non-British source countries. This ultimately pressured the government into recognition of cultural diversity and eventually in the early 1970s through the proposition of a multicultural approach. In 1973 multiculturalism was officially introduced slowly becoming a defining national asset. From 1933 to 2001, Italians were the second largest migrant group contributing to Australia’s cultural ‘make-up’, right after the ‘Anglo-Celtic’ segment of the overseas-born population (UK, New Zealand and Ireland). However, the Italian migration of the 1950s and 1960s is a closed chapter of Australian migration history, and Australia now embraces migration from countries where it was initially rejected in the pre-1970s period – Asians, particularly those from China and India. While looking at the specific cases of Italian and Chinese settlement in Australia, this chapter also provides an historical overview of Australian migration policies. We argue that the gradual inclusion of non-British migrants in Australia has been guided since 1901 Federation by a form of ‘economic opportunism’ rather than a real intention to change the ethnic make-up of the population and identity of the nation. Despite forming and maintaining strategic partnerships with Asian countries, migration to Australia is still dominated by the need to preserve a distinctive ‘Anglo-Celtic’ character.

This chapter discusses the emerging network science approach to the study of complex adaptive systems and applies tools derived from statistical physics to the analysis of tourism destinations. The authors provide a brief history of network science and the characteristics of a network as well as different models such as small world and scale free networks, and dynamic properties such as resilience and information diffusion. The Italian resort island of Elba is used as a case study allowing comparison of the communication network of tourist organizations and the virtual network formed by the websites of these organizations. The study compares the parameters of these networks to networks from the literature and to randomly created networks. The analyses include computer simulations to assess the dynamic properties of these networks. The results indicate that the Elba tourism network has a low degree of collaboration between members. These findings provide a quantitative measure of network performance. In general, the application of network science to the study of social systems offers opportunities for better management of tourism destinations and complex social systems.