Essa é uma revisão anterior do documento!
Suponhamos a existência de dois tipos de ocupantes de solo na Amazônia, um com menor capacidade técnica e outro com maior capacidade. Por exemplo, comparemos dois tipos de fazendeiros de soja, ou dois tipos de pecuaristas. A idéia é que a tecnificação requer investimento, mas reduz o desmatamento e aumenta os lucros a médio prazo. Em que condições uma “onda” de empreendedores com tecnificação pode ocupar uma região como a Amazônia, que originalmente é ocupada por fazendeiros/pecuaristas baseados em práticas extensivas?
Poderíamos desenvolver um modelo teórico, e depois usar os dados de censo e do PRODES para aplica-lo num caso prático.
Gilberto
Territories, corridors, and networks: A biological model for the premodern state
| Monica L. Smith, 2007 | Complexity, 12(4)28-35 |
Abstract: When depicted on maps as homogenous territorial wholes, ancient states are visually summarized as static entities in a way that conceals the highly fluid dynamics of polity formation, maintenance, and growth. Models derived from studies of animal behavior show that territory does not consist of an undifferentiated use of the landscape. Instead, the concept of territory can be parsed into a series of resource-rich nodes linked by corridors of access, surrounded by unutilized regions and boundaries marked at points of competition. Ancient human groups also can be analyzed as having perceived and occupied landscapes through strategies of flexible networks in which nodes and corridors were surrounded by unutilized spaces around which boundaries were selectively identified and defended. This strategy is identifiable in human social groups at different levels of complexity ranging from hunter-gatherers through ancient chiefdoms and states.
An algorithm for detecting community structure of social networks based on prior knowledge and modularity
| H. Du, M. W. Feldman, S. Li, X. Jin, 2007 | Complexity, 12(3)53-60 |
Abstract: An algorithm is proposed to detect community structure in social network. The algorithm begins with a community division based on prior knowledge of the degrees of the nodes, and then combines the communities until a clear partition is obtained. In applications such as a computer-generated network, Ucinet networks, and Chinese rural-urban migrants' social networks, the algorithm can achieve higher modularity and greater speed than others in the recent literature.