3 resultados para social network analysis

em WestminsterResearch - UK


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This thesis reports on an exploratory study of the relationship between the Internet and women’s empowerment in China. The theoretical framework of the study combines feminist theorisations of power – the core concept of empowerment – with insights from sociological perspectives on power and gender, as well as collective action theory. This allows for the conceptualisation of women’s empowerment as a dynamic process that is shaped by a set of communicative practices. Focusing on female Chinese bloggers and women’s groups of different organisational types, this study aims to explore the respective ways in which these two types of women actors use the Internet with a view to examining whether, and the extent to which it enables them to generate a sense of empowerment. The empirical data mainly derives from interviews with female bloggers and with staff members from different women’s groups, as well as from a features analysis and social network analysis of the sampled blogs and official websites of studied groups. Overall, the findings suggest that the opportunities offered by the Internet for women’s empowerment through awareness-raising, social interactions, and the organising of collective action, are limited. For female bloggers, their activities do not translate the new communicative practices afforded by the Internet into concrete action to bring about changes in their everyday life. On the contrary, blogs become an alternative platform to discipline their behaviours and to reinforce patriarchal gendered norms. Moreover, the research finds that the promise of empowerment is further undermined by the pervasive commercialisation of the Internet and state control. For women’s groups, contextual factors prevent them from fully realising the potential of the Internet for increasing their organisational visibility, promoting public awareness about gender issues, building a sense of the collective, campaigning, or networking. The major barriers in these processes are state control, a lack of resources, online censorship, and at times, competition from commercial sites. In this respect, the Internet does not play a significant role in forming a collective to challenge existing unjust power relations.

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Coastal zones with their natural and societal subsystems are exposed to rapid changes and pressures on resources. Scarcity of space and impacts of climate change are prominent drivers of land use and adaptation management today. Necessary modifications to present land use management strategies and schemes influence both the structures of coastal communities and the ecosystems involved. Approaches to identify the impacts and account for (i) the linkages between social references and needs and (ii) ecosystem services in coastal zones have been largely absent. The presented method focuses on improving the inclusion of ecosystem services in planning processes and clarifies the linkages with social impacts. In this study, fourteen stakeholders in decisionmaking on land use planning in the region of Krummhörn (northwestern Germany, southern North Sea coastal region) conducted a regional participative and informal process for local planning capable to adapt to climate driven changes. It is argued that scientific and practical implications of this integrated assessment focus on multifunctional options and contribute to more sustainable practices in future land use planning. The method operationalizes the ecosystem service approach and social impact analysis and demonstrates that social demands and provision of ecosystem services are inherently connected.

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The selected publications are focused on the relations between users, eGames and the educational context, and how they interact together, so that both learning and user performance are improved through feedback provision. A key part of this analysis is the identification of behavioural, anthropological patterns, so that users can be clustered based on their actions, and the steps taken in the system (e.g. social network, online community, or virtual campus). In doing so, we can analyse large data sets of information made by a broad user sample,which will provide more accurate statistical reports and readings. Furthermore, this research is focused on how users can be clustered based on individual and group behaviour, so that a personalized support through feedback is provided, and the personal learning process is improved as well as the group interaction. We take inputs from every person and from the group they belong to, cluster the contributions, find behavioural patterns and provide personalized feedback to the individual and the group, based on personal and group findings. And we do all this in the context of educational games integrated in learning communities and learning management systems. To carry out this research we design a set of research questions along the 10-year published work presented in this thesis. We ask if the users can be clustered together based on the inputs provided by them and their groups; if and how these data are useful to improve the learner performance and the group interaction; if and how feedback becomes a useful tool for such pedagogical goal; if and how eGames become a powerful context to deploy the pedagogical methodology and the various research methods and activities that make use of that feedback to encourage learning and interaction; if and how a game design and a learning design must be defined and implemented to achieve these objectives, and to facilitate the productive authoring and integration of eGames in pedagogical contexts and frameworks. We conclude that educational games are a resourceful tool to provide a user experience towards a better personalized learning performance and an enhance group interaction along the way. To do so, eGames, while integrated in an educational context, must follow a specific set of user and technical requirements, so that the playful context supports the pedagogical model underneath. We also conclude that, while playing, users can be clustered based on their personal behaviour and interaction with others, thanks to the pattern identification. Based on this information, a set of recommendations are provided Digital Anthropology and educational eGames 6 /216 to the user and the group in the form of personalized feedback, timely managed for an optimum impact on learning performance and group interaction level. In this research, Digital Anthropology is introduced as a concept at a late stage to provide a backbone across various academic fields including: Social Science, Cognitive Science, Behavioural Science, Educational games and, of course, Technology-enhance learning. Although just recently described as an evolution of traditional anthropology, this approach to digital behaviour and social structure facilitates the understanding amongst fields and a comprehensive view towards a combined approach. This research takes forward the already existing work and published research onusers and eGames for learning, and turns the focus onto the next step — the clustering of users based on their behaviour and offering proper, personalized feedback to the user based on that clustering, rather than just on isolated inputs from every user. Indeed, this pattern recognition in the described context of eGames in educational contexts, and towards the presented aim of personalized counselling to the user and the group through feedback, is something that has not been accomplished before.