873 resultados para Actor-Network Theory social networks


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Em Portugal e no Mundo Ocidental a população está a envelhecer, colocando esta nova realidade enormes desafios à sociedade. A sua crescente relevância deve-se sobretudo às consideráveis repercussões a nível pessoal, familiar, sociopolítico e económico e que afetam pessoas de todas as idades e a sociedade como um todo, colocando desafios específicos relativamente às relações interpessoais, à qualidade de vida e à saúde mental na pessoa idosa. Deste modo, o presente trabalho tem como objetivo analisar a associação entre a qualidade de vida, a depressão e as características das redes sociais pessoais dos idosos. Participaram no estudo 317 indivíduos, sendo 202 do sexo feminino e 115 do sexo masculino, com idade igual ou superior a 65 anos, com uma média de 77 anos (DP=7,57). Na recolha de dados recorremos a três instrumentos: Geriatric Depression Scale (GDS Short Form 15), (Yesavage et al., 1983; Almeida & Almeida, 1999); Instrumento de Avaliação de Qualidade de Vida da OMS (WHOQOL), (OMS, 1998; Canavarro et al., 2006); Instrumento de Avaliação das Redes Sociais Pessoais (IARSP – Idosos), (Guadalupe, 2010; Guadalupe & Vicente, 2012). Dos resultados destacamos que as características funcionais da rede social pessoal se diferenciaram de forma estatisticamente significativa entre as subamostras de idosos segundo os níveis de qualidade de vida percebida. Saliente-se que, além da relação significativa entre a depressão e qualidade de vida, em que os idosos com um nível mais baixo de qualidade de vida percebida apresentam maiores níveis de depressão (p<0,001), as características funcionais das redes sociais apresentam uma associação clara com a qualidade de vida (p<0,005) e a maioria com a depressão (p<0,014), o que não acontece com as estruturais e com as relacionais-contextuais. Outros resultados indicam que indivíduos com diferentes níveis de qualidade de vida percebida possuem uma estrutura idêntica da rede social pessoal. Ao nível da análise da associação entre as variáveis funcionais da Rede Social Pessoal, Qualidade de Vida e Depressão, o modelo analítico transmite-nos indicadores de investigação e intervenção precisos, o que demonstra a necessidade da continuidade e aprofundamento do presente estudo num âmbito amostral mais alargado e heterogéneo. / In Portugal and in the eastern world, the aging of population creates huge challenges to societies. It's growing relevance is owed to considerable repercussions on the personal, familiar, socio-politic and economic level that affect people of all ages and society as a whole, creating specific challenges regarding interpersonal relationships, quality of life and mental health of the elderly. The current work has the objective of analyzing the association between quality of life, depression and the characteristics of personal social networks of the elderly. 317 individuals have participated in this study, 202 female and 115 male, with age equal or above 65 years old, with an average of 77 years old (DP=7,57). We used three assessment instruments to collect data: Geriatric Depression Scale (GDS Short Form 15), (Yesavage et al., 1983; Almeida & Almeida, 1999); WHO’s Quality of Life Evaluation instrument (WHOQOL) (WHO, 1998; Canavarro et al., 2006); Personal Social Network Analysis Tool (IARSP-Elderly),(Guadalupe, 2010; Guadalupe & Vicente, 2012). The results show that the functional personal network characteristics are significantly different according to their level of quality of life. It should also be noted that not only there is a significant association between depression and quality of life, in which elderly people with a lower quality of life level show higher levels of depression (p<0,001), there is also a clear association between the functional social network characteristics and quality of life (p<0,005), and the majority with depression (p<0,014), which doesn’t happen with structural and relational-contextual social network characteristics. Other results indicate that different levels of quality of life acquire an identical social network structure. On the matter of association between the functional variables of social networks, quality of fife and depression, the analytic model shows precise indicators of research and intervention, which instills us a need to continue and enlarge this study with an wider and more heterogeneous sample.

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Analysis of seed exchange networks at a single point in time may reify sporadic relations into apparently fixed and long-lasting ones. In northern Cameroon, where environment is not only strongly seasonal but also shows unpredictable interannual variation, farmers’ social networks are flexible from year to year. When adjusting their strategies, Tupuri farmers do not systematically solicit the same partners to acquire the desired propagules. Seed acquisitions documented during a single cropping season may thus not accurately reflect the underlying larger social network that can be mobilized at the local level. To test this hypothesis, we documented, at the outset of two cropping seasons (2010 and 2011), the relationships through which seeds were acquired by the members of 16 households in a Tupuri community. In 2011, farmers faced sudden failure of the rains and had to solicit distant relatives, highlighting their ability to quickly trigger specific social relations to acquire necessary seeding material. Observing the same set of individuals during two successive years and the seed sources they solicited in each year enabled us to discriminate repeated relations from sporadic ones. Although farmers did not acquire seeds from the same individuals from one year to the next, they relied on quite similar relational categories of people. However, the worse weather conditions during the second year led to (1) a shift from red sorghum seeds to pearl millet seeds, (2) a geographical extension of the network, and (3) an increased participation of women in seed acquisitions. In critical situations, women mobilized their own kin almost exclusively. We suggest that studying the seed acquisition network over a single year provides a misrepresentation of the underlying social network. Depending on the difficulties farmers face, they may occasionally call on relationships that transcend the local relationships used each year.

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We are delighted to have the opportunity to talk with Tony about how his work touches on issues of imitation and contagion—a loaded term unpacked within his 2013 book.

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This paper proposes to analyse a situation of social drama involving the Krahô Indians (classified in ethnology as belonging to Jê-Timbira group) and the Museu Paulista of the Universidade de São Paulo, which we can classify as two distinct social fields. The understanding of the drama is conveyed through an examination of each of these fields and the coming together of both on the basis of the positions taken up, within the network of relationships established during the social process, by actors representing both the Krahô field and what we may call here the academic-administrative field. A multi-sited ethnographic approach is adopted, seeking the complexity of the drama and the positions in the aforementioned network, taking into consideration institutional political projects, personal projects and personal trajectories within a historical perspective. The aim is to encourage discussion of the relationship between the formation of the historical-scientific and ethnographic museums and the practices of the anthropological discipline, as well as the social role of these institutions and the processes of signification of objects belonging to the indigenous material culture

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The paper addresses the role played by research-based spin-offs (RBSOs) as knowledge dissemination mechanisms, through their position in knowledge networks. For this purpose the paper analyses the formal networks established by the Portuguese RBSOs in the context of publicly funded research, technology and pre-commercial product development projects, and investigates their configuration along two levels. At organisational level, in order to understand whether RBSOs extend their reach beyond the academic sphere; and if they do, whether they relate with similar firms or connect to organisations located downstream in the knowledge value chain, and which is their position in networks involving both research organisations and other firms. At spatial level, in order to understand whether RBSOs extend their reach beyond the region where they are created, thus potentially acting as connectors between diverse regions. The analysis starts from the population of RBSOs created in Portugal until 2007 (387) and identifies those that have established formal technological relationships as part of projects funded by all the programmes launched in the period 1993-2012. As a result, the analysis encompasses 192 collaborative projects and involves 82 spin-offs and 281 partners, of which only 20% are research organisations, the remaining being other firms and a variety of other user organisations. The results, although still preliminary, provide some insights into the knowledge networking behaviour of the RBSOs. As expected, research organisations are a central actor in spin-offs’ networks, being the sole partner for some of them. But half of the RBSOs have moved beyond the academic sphere, being frequently a central element in tripartite technological relationships between research and other organisations and occupying an intermediation position in the network, thus potentially acting as facilitators in knowledge circulation and transformation. Also as expected, RBSOs are predominantly located in the main metropolitan areas and tend to relate with organisations similarly located. But while geographical proximity emerges as important in the choice of partners, in about half of the cases, RBSOs knowledge networks have extended beyond regional boundaries. Given their central position in the network this suggests a role as connectors across regions that will be explored in subsequent research.

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The paper addresses the role played by research-based spin-offs (RBSOs) as knowledge dissemination mechanisms, through their position in knowledge networks. For this purpose the paper analyses the formal networks established by Portuguese RBSOs, in the context of publicly funded research, technology and pre-commercial product development projects, and investigates their configuration across two levels. At organisational level, in order to understand whether RBSOs extend their reach beyond the academic sphere; and if they do, whether they connect to organisations located downstream in the knowledge value chain, and which is their position in networks involving both research organisations and other firms. At spatial level, in order to understand whether RBSOs extend their reach beyond the region where they are created, thus potentially acting as connectors between diverse regions. The analysis starts from the population of RBSOs created in Portugal until 2007 (327 firms) and identifies those that have established formal technological relationships, as part of projects funded by all the relevant programmes launched in the period 1993-2012. As a result, the analysis encompasses 192 collaborative projects and involves 82 spin-offs and 281 partners, of which only 20% are research organisations, the remaining being other firms and a variety of other downstream organisations. The results, although still preliminary, provide some insights into the knowledge networking behaviour of the RBSOs. As expected, research organisations are a central actor in spin-offs’ networks, being the sole partner for some of them. But half of the RBSOs have moved beyond the academic sphere, being frequently a central element in tripartite technological relationships between research and other organisations, and occupying an intermediation position in the network, thus potentially acting as facilitators in knowledge circulation and transformation. Also as expected, RBSOs are predominantly located in the main metropolitan areas and tend to relate with organisations similarly located. But while geographical proximity emerges as important in the choice of partners, in about half of the cases, RBSOs knowledge networks have extended beyond regional boundaries. Given their central position in the network, this suggests a role as connectors across regions that will be explored in subsequent research.

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The paper presents a critical analysis of the extant literature pertaining to the networking behaviours of young jobseekers in both offline and online environments. A framework derived from information behaviour theory is proposed as a basis for conducting further research in this area. Method. Relevant material for the review was sourced from key research domains such as library and information science, job search research, and organisational research. Analysis. Three key research themes emerged from the analysis of the literature: (1) social networks, and the use of informal channels of information during job search, (2) the role of networking behaviours in job search, and (3) the adoption of social media tools. Tom Wilson’s general model of information behaviour was also identified as a suitable framework to conduct further research. Results. Social networks have a crucial informational utility during the job search process. However, the processes whereby young jobseekers engage in networking behaviours, both offline and online, remain largely unexplored. Conclusion. Identification and analysis of the key research themes reveal opportunities to acquire further knowledge regarding the networking behaviours of young jobseekers. Wilson’s model can be used as a framework to provide a holistic understanding of the networking process, from an information behaviour perspective.

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The general goal of this study was to analyze the relations between the agents’ social capital and joint actions developed by the Cluster of wine produced at the high altitudes of Santa Catarina. This group is made up of 43 agents: one governing agent, 26 support agents and 16 winemakers. This descriptive and exploratory study uses data from qualitative and quantitative approaches. During the exploratory phase, a documental analysis was carried out, as well as semi-structured interviews. The data collection tool used to gather information concerning the social capital and joint actions was the semi-structured questionnaire, and this data gathering was conducted through field research using a structured interview with the selected agents from November 16 to November 26, 2015. The results of this study show a good social capital, which reflects on the joint actions done by the agents. Among the variables of social capital, trust shows a great level among the Cluster agents, followed by good levels concerning commitment and involvement, information share, rules and sanctions, horizontality and authority and improvement. As a result, it has created a nice level of involvement and effectiveness of joint actions, highlighting events organization, joint participation at fairs and events, marketing campaigns, development of products and processes, and human resources improvement. There is a small group of agents who show a strong social capital and a proper environment to expand this capital throughout the network. However, the evaluation concerning reciprocity and density represents only one third of the possibilities of this group, and it happens especially because of the geographical distance between the agents who are part of the Cluster. The main limitation of this study was the trouble trying to map the whole agent group before applying the questionnaires and identifying the responsible people in each of the support agents to inform everything correctly. It is suggested that these questionnaires be carried out with other Clusters as well as in the future in order to have a temporal assessment of this study.

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The consequences resulting from economic modernization model generated social and environmental imbalances, resulting in the exclusion and social isolation, perceived consequences in the agricultural sector. When studying social organizations, tends to see how they keep their forward cooperation processes all a company incorporated by the appreciation of individualism and competition. The overall objective for this research was to analyze the organizational dynamics of Agroecology Group Heritage Viva Chapecó, Santa Catarina, in order to identify the strengths and threats and collaborate in this way for preparation of action strategies for sustainability. The selected group is based on the principles of agroecology for the conduct of their agricultural production systems, avoiding the use of agrochemicals, proven through the use of participatory certification seal Ecovida Network, and the products sold mainly in street fairs in the city of chapecó. To fulfill such a proposal were consulted the minutes of meetings and questionnaires with farmers to assess the dynamics of cooperation among its members, through the understanding of their social capital and social network analysis (SNA). To extend the study of the group and its members was adopted methodological approach of action research where activities were developed to identify strengths and weaknesses and contribute to its organizational restructuring, resulting in the construction, carried out by farmers, the guiding principles of the Living Heritage Group will contribute to the decision-making and strengthen their identity. The survey also brought the group is inserted in the Social Transition Agroecology therefore change the current paradigm is not inserted only in the alternative model of production, but in the form of organization of social actors and their role in the marketing process of their products, in discussing the scenario of food supply chains.

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Jerne's idiotypic network theory postulates that the immune response involves inter-antibody stimulation and suppression as well as matching to antigens. The theory has proved the most popular Artificial Immune System (AIS) model for incorporation into behavior-based robotics but guidelines for implementing idiotypic selection are scarce. Furthermore, the direct effects of employing the technique have not been demonstrated in the form of a comparison with non-idiotypic systems. This paper aims to address these issues. A method for integrating an idiotypic AIS network with a Reinforcement Learning based control system (RL) is described and the mechanisms underlying antibody stimulation and suppression are explained in detail. Some hypotheses that account for the network advantage are put forward and tested using three systems with increasing idiotypic complexity. The basic RL, a simplified hybrid AIS-RL that implements idiotypic selection independently of derived concentration levels and a full hybrid AIS-RL scheme are examined. The test bed takes the form of a simulated Pioneer robot that is required to navigate through maze worlds detecting and tracking door markers.

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The central motif of this work is prediction and optimization in presence of multiple interacting intelligent agents. We use the phrase `intelligent agents' to imply in some sense, a `bounded rationality', the exact meaning of which varies depending on the setting. Our agents may not be `rational' in the classical game theoretic sense, in that they don't always optimize a global objective. Rather, they rely on heuristics, as is natural for human agents or even software agents operating in the real-world. Within this broad framework we study the problem of influence maximization in social networks where behavior of agents is myopic, but complication stems from the structure of interaction networks. In this setting, we generalize two well-known models and give new algorithms and hardness results for our models. Then we move on to models where the agents reason strategically but are faced with considerable uncertainty. For such games, we give a new solution concept and analyze a real-world game using out techniques. Finally, the richest model we consider is that of Network Cournot Competition which deals with strategic resource allocation in hypergraphs, where agents reason strategically and their interaction is specified indirectly via player's utility functions. For this model, we give the first equilibrium computability results. In all of the above problems, we assume that payoffs for the agents are known. However, for real-world games, getting the payoffs can be quite challenging. To this end, we also study the inverse problem of inferring payoffs, given game history. We propose and evaluate a data analytic framework and we show that it is fast and performant.

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Jerne's idiotypic network theory postulates that the immune response involves inter-antibody stimulation and suppression as well as matching to antigens. The theory has proved the most popular Artificial Immune System (AIS) model for incorporation into behavior-based robotics but guidelines for implementing idiotypic selection are scarce. Furthermore, the direct effects of employing the technique have not been demonstrated in the form of a comparison with non-idiotypic systems. This paper aims to address these issues. A method for integrating an idiotypic AIS network with a Reinforcement Learning based control system (RL) is described and the mechanisms underlying antibody stimulation and suppression are explained in detail. Some hypotheses that account for the network advantage are put forward and tested using three systems with increasing idiotypic complexity. The basic RL, a simplified hybrid AIS-RL that implements idiotypic selection independently of derived concentration levels and a full hybrid AIS-RL scheme are examined. The test bed takes the form of a simulated Pioneer robot that is required to navigate through maze worlds detecting and tracking door markers.

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Social networks rely on concepts such as collaboration, cooperation, replication, flow, speed, interaction, engagement, and aim the continuous sharing and resharing of information in support of the permanent social interaction. Facebook, the largest social network in the world, reached, in May 2016, the mark of 1.09 billion active users daily, draining 161.7 million hours of users’ attention to the website every day. These users share 4.75 billion units of content daily. The research presented in this dissertation aims to investigate the management of knowledge and collective intelligence, from the introduction of mechanisms that aim to enable users to manage and organize current information in the feeds from Facebook groups in which they participate, turning Facebook into a collective knowledge and information management device that goes far beyond mere interaction and communication among people. The adoption of Design Science Research methodology is intended to instill the "genes" of collective intelligence, as presented in the literature, in the computational artifact being developed, so that intelligence can be managed and used to create even more knowledge and intelligence to and by the group. The main theoretical contribution of this dissertation is to discuss knowledge management and collective intelligence in a complementary and integrated manner, showing how efforts to obtain one also contribute to leveraging the other.

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Robot-control designers have begun to exploit the properties of the human immune system in order to produce dynamic systems that can adapt to complex, varying, real-world tasks. Jerne’s idiotypic-network theory has proved the most popular artificial-immune-system (AIS) method for incorporation into behaviour-based robotics, since idiotypic selection produces highly adaptive responses. However, previous efforts have mostly focused on evolving the network connections and have often worked with a single, preengineered set of behaviours, limiting variability. This paper describes a method for encoding behaviours as a variable set of attributes, and shows that when the encoding is used with a genetic algorithm (GA), multiple sets of diverse behaviours can develop naturally and rapidly, providing much greater scope for flexible behaviour-selection. The algorithm is tested extensively with a simulated e-puck robot that navigates around a maze by tracking colour. Results show that highly successful behaviour sets can be generated within about 25 minutes, and that much greater diversity can be obtained when multiple autonomous populations are used, rather than a single one.

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This paper proposes to analyse a situation of social drama involving the Krahô Indians (classified in ethnology as belonging to Jê-Timbira group) and the Museu Paulista of the Universidade de São Paulo, which we can classify as two distinct social fields. The understanding of the drama is conveyed through an examination of each of these fields and the coming together of both on the basis of the positions taken up, within the network of relationships established during the social process, by actors representing both the Krahô field and what we may call here the academic-administrative field. A multi-sited ethnographic approach is adopted, seeking the complexity of the drama and the positions in the aforementioned network, taking into consideration institutional political projects, personal projects and personal trajectories within a historical perspective. The aim is to encourage discussion of the relationship between the formation of the historical-scientific and ethnographic museums and the practices of the anthropological discipline, as well as the social role of these institutions and the processes of signification of objects belonging to the indigenous material culture