Made available in DSpace on 2015-05-14T12:36:26Z (GMT). No. of bitstreams: 1 parte1.pdf: 1614982 bytes, checksum: 20a76dbb04a57c702c64e525119a04ec (MD5) Previous issue date: 2011-02-07 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Several technological advances during recent years provided that the Electronic Health Record systems (EHR) became a solidified and viable alternative to replace progres-sively and efficiently, the use of health records on paper. The benefits found are associated with the use of methods for clinical decision support (CDS), data availability, ease in finding information, among other advantages inherent in computerized systems use. However, there are still many challenges and research to get the full potential of such systems. For example, the amounts of clinical data for EHR storage are very high. Several interests might benefit if there was a tool capable of performing an automated analysis, or more commonly found, semi-automated, useful for search patterns in the data set stored in the system. Several studies indicate that efforts in the field of machine learning achieve great results in various areas including clinical information. However, the effort required is still high, increasing the time spent with planning and processing, with high costs and large amounts of data needed for processing. This work, in association with the OpenCTI's CDS seeks to significantly reduce the amount of effort necessary to promote both the reuse of clin-ical information from the automatic learning, and the development of mechanisms for clini-cal decision support with low cost. This study seeks to offer those benefits to users of EHR systems, through a simple mechanism, but extensive, for analysis of clinical data stored in clinical databases. This anal-ysis is performed using a methodology of knowledge extraction algorithms using collective intelligence or data mining, through steps of search, selection, preprocessing, modeling, evaluation and application of the information extracted from these systems. From this, me-chanisms for clinical decision support of EHR, may use the framework offered by CollectMed to promote with greater ease and precision, more accurate information regarding specific medical conditions on their patients, according to what has already been registered by health professionals in similar cases using the EHR. / Diversos avanços tecnológicos ocorridos nos últimos anos fizeram com que os Sis-temas de Registro Eletrônico em Saúde (RES) se consolidassem como uma alternativa viável para substituir, progressivamente e com eficiência, o uso dos registros de saúde em papel. Os benefícios encontrados são associados ao uso de métodos de apoio à decisão clínica, disponi-bilidade dos dados, facilidade na busca por informações, entre outras vantagens inerentes ao uso de sistemas computadorizados. Entretanto, existem ainda, muitos desafios e pesquisas para fazer com que todo o potencial desses sistemas seja utilizado. Por exemplo, a quantida-de de dados clínicos que os sistemas de RES armazenam, é muito elevado. Diversos interes-ses poderiam ser beneficiados, caso houvesse uma ferramenta capaz de realizar uma análise automatizada, ou semi-automatizada (como é mais comumente encontrada), para buscar padrões úteis no conjunto de dados armazenados no sistema. Diversos trabalhos apontam que os esforços realizados no campo de aprendizado automático alcançam ótimos resultados em diversas áreas, inclusive para informações clíni-cas. Porém, o esforço necessário ainda é elevado, aumentando o tempo dedicado ao planeja-mento e execução, assim como altos custos e necessidade de grande volume de dados para o processamento. Este trabalho, associado ao sistema de apoio à decisão do OpenCTI busca reduzir, significativamente,o esforço necessário para promover tanto o reuso de informações clínicas a partir do aprendizado automático, quanto o desenvolvimento de mecanismos de apoio à decisão clínica a um baixo custo. O presente trabalho, busca oferecer tal benefício aos usuários de sistemas de RES, por meio de um mecanismo simples, porém amplo, de análise dos dados clínicos armazena-dos nos bancos de dados dos RES. Essa análise será realizada por meio de uma metodologia de extração de conhecimento, utilizando algoritmos de inteligência coletiva ou data mining, passando por etapas de busca, seleção, pré-processamento, modelagem, avaliação e aplicação destas informações extraídas dos sistemas. A partir disso, mecanismos de apoio à decisão clínica dos RES, poderão utilizar o arcabouço oferecido pelo CollectMed para promover, com mais facilidade e precisão, recuperação de informações mais apuradas a respeito das condi-ções clínicas específicas sobre seus pacientes, de acordo com o que já foi registrado por pro-fissionais de saúde em casos clínicos semelhantes persistidos no RES.

Mercado Preditivo (MP) é uma ferramenta que utiliza o mecanismo de preço de mercado para agregar informações dispersas em um grande grupo de pessoas, visando à geração de previsões sobre assuntos de interesse. Trata-se de um método de baixo custo, capaz de gerar previsões de forma contínua e que não exige amostras probabilísticas. Há diversas aplicações para esses mercados, sendo que uma das principais é o prognóstico de resultados eleitorais. Este estudo analisou evidências empíricas da eficácia de um Mercado Preditivo no Brasil, criado para fazer previsões sobre os resultados das eleições gerais do ano de 2014, sobre indicadores econômicos e sobre os resultados de jogos do Campeonato Brasileiro de futebol. A pesquisa teve dois grandes objetivos: i) desenvolver e avaliar o desempenho de um MP no contexto brasileiro, comparando suas previsões em relação a métodos alternativos; ii) explicar o que motiva as pessoas a participarem do MP, especialmente quando há pouca ou nenhuma interação entre os participantes e quando as transações são realizadas com uma moeda virtual. O estudo foi viabilizado por meio da criação da Bolsa de Previsões (BPrev), um MP online que funcionou por 61 dias, entre setembro e novembro de 2014, e que esteve aberto à participação de qualquer usuário da Internet no Brasil. Os 147 participantes registrados na BPrev efetuaram um total de 1.612 transações, sendo 760 no tema eleições, 270 em economia e 582 em futebol. Também foram utilizados dois questionários online para coletar dados demográficos e percepções dos usuários. O primeiro foi aplicado aos potenciais participantes antes do lançamento da BPrev (302 respostas válidas) e o segundo foi aplicado apenas aos usuários registrados, após dois meses de experiência de uso da ferramenta (71 respostas válidas). Com relação ao primeiro objetivo, os resultados sugerem que Mercados Preditivos são viáveis no contexto brasileiro. No tema eleições, o erro absoluto médio das previsões do MP na véspera do pleito foi de 3,33 pontos percentuais, enquanto o das pesquisas de opinião foi de 3,31. Considerando todo o período em que o MP esteve em operação, o desempenho dos dois métodos também foi parecido (erro absoluto médio de 4,20 pontos percentuais para o MP e de 4,09 para as pesquisas). Constatou-se também que os preços dos contratos não são um simples reflexo dos resultados das pesquisas, o que indica que o mercado é capaz de agregar informações de diferentes fontes. Há potencial para o uso de MPs em eleições brasileiras, principalmente como complemento às metodologias de previsão mais tradicionais. Todavia, algumas limitações da ferramenta e possíveis restrições legais podem dificultar sua adoção. No tema economia, os erros foram ligeiramente maiores do que os obtidos com métodos alternativos. Logo, um MP aberto ao público geral, como foi o caso da BPrev, mostrou-se mais indicado para previsões eleitorais do que para previsões econômicas. Já no tema futebol, as previsões do MP foram melhores do que o critério do acaso, mas não houve diferença significante em relação a outro método de previsão baseado na análise estatística de dados históricos. No que diz respeito ao segundo objetivo, a análise da participação no MP aponta que motivações intrínsecas são mais importantes para explicar o uso do que motivações extrínsecas. Em ordem decrescente de relevância, os principais fatores que influenciam a adoção inicial da ferramenta são: prazer percebido, aprendizado percebido, utilidade percebida, interesse pelo tema das previsões, facilidade de uso percebida, altruísmo percebido e recompensa percebida. Os indivíduos com melhor desempenho no mercado são mais propensos a continuar participando. Isso sugere que, com o passar do tempo, o nível médio de habilidade dos participantes tende a crescer, tornando as previsões do MP cada vez melhores. Os resultados também indicam que a prática de incluir questões de entretenimento para incentivar a participação em outros temas é pouco eficaz. Diante de todas as conclusões, o MP revelou-se como potencial técnica de previsão em variados campos de investigação. / Prediction Market (PM) is a tool which uses the market price mechanism to aggregate information scattered in a large group of people, aiming at generating predictions about matters of interest. It is a low cost method, able to generate forecasts continuously and it does not require random samples. There are several applications for these markets and one of the main ones is the prognosis of election outcomes. This study analyzed empirical evidences on the effectiveness of Prediction Markets in Brazil, regarding forecasts about the outcomes of the general elections in the year of 2014, about economic indicators and about the results of the Brazilian Championship soccer games. The research had two main purposes: i) to develop and evaluate the performance of PMs in the Brazilian context, comparing their predictions to the alternative methods; ii) to explain what motivates people´s participation in PMs, especially when there is little or no interaction among participants and when the trades are made with a virtual currency (play-money). The study was made feasible by means of the creation of a prediction exchange named Bolsa de Previsões (BPrev), an online marketplace which operated for 61 days, from September to November, 2014, being open to the participation of any Brazilian Internet user. The 147 participants enrolled in BPrev made a total of 1,612 trades, with 760 on the election markets, 270 on economy and 582 on soccer. Two online surveys were also used to collect demographic data and users´ perceptions. The first one was applied to potential participants before BPrev launching (302 valid answers) and the second was applied only to the registered users after two-month experience in tool using (71 valid answers). Regarding the first purpose, the results suggest Prediction Markets to be feasible in the Brazilian context. On the election markets, the mean absolute error of PM predictions on the eve of the elections was of 3.33 percentage points whereas the one of the polls was of 3.31. Considering the whole period in which BPrev was running, the performance of both methods was also similar (PM mean absolute error of 4.20 percentage points and poll´s 4.09). Contract prices were also found as not being a simple reflection of poll results, indicating that the market is capable to aggregate information from different sources. There is scope for the use of PMs in Brazilian elections, mainly as a complement of the most traditional forecasting methodologies. Nevertheless, some tool limitations and legal restrictions may hinder their adoption. On markets about economic indicators, the errors were slightly higher than those obtained by alternative methods. Therefore, a PM open to general public, as in the case of BPrev, showed as being more suitable to electoral predictions than to economic ones. Yet, on soccer markets, PM predictions were better than the criterion of chance although there had not been significant difference in relation to other forecasting method based on the statistical analysis of historical data. As far as the second purpose is concerned, the analysis of people´s participation in PMs points out intrinsic motivations being more important in explaining their use than extrinsic motivations. In relevance descending order, the principal factors that influenced tool´s initial adoption are: perceived enjoyment, perceived learning, perceived usefulness, interest in the theme of predictions, perceived ease of use, perceived altruism and perceived reward. Individuals with better performance in the market are more inclined to continue participating. This suggests that, over time, participants´ average skill level tends to increase, making PM forecasts better and better. Results also indicate that the practice of creating entertainment markets to encourage participation in other subjects is ineffective. Ratifying all the conclusions, PM showed as being a prediction potential technique in a variety of research fields.

The aim of this thesis is to study some of the challenges that the Kurdish language and its standardization face, and offer a bottom-up solution through the “collective intelligence” and “good faith collaboration” of Wikipedia. Therefore, the fragmentation in the Kurdish language—caused by both external factors and those that are inherent to the language itself— is discussed and analyzed. Furthermore, this thesis describes some of the efforts that have been made to unify the Kurdish language, its dialects and its different writing systems. Even though these issues exist both in the physical world as well as online, they are rendered more conspicuous on the Internet. As a result, the problems in Kurdish cross-dialect communication are more pronounced. In spite of that, web 2.0 and its favored platforms for online collaboration provide ample opportunity for the general user of the language to participate in solving such linguistic problems. An overview of Wikipedia, as the world’s most successful platform for online collaboration, is presented along with some of its rules and policies. Additionally, an account of the current Kurdish Wikipedia in three dialects of Kurdish: Kurmanji, Sorani and Zazaki is provided. The situation and shortcomings of Kurdish versions of Wikipedia are examined through two case studies based on two Wikipedia articles in Kurdish and their English and Persian counterparts. Moreover, I argue that a robust Kurdish Wikipedia can be a viable solution for standardizing the language, encouraging orthographic consistency, and unifying Kurdish writing systems and knowledge/information dissemination in Kurdish. / +46762801113

In an increasingly connected and interdependent world, the global sustainability challenge needs to be addressed by organizational networks from a whole-systems perspective. This study explores organizations through the lens of network theory and the Framework for Strategic Sustainable Development, with a special focus on networks already considering sustainability issues. The purpose of the research was to identify key factors critical to the success of an organizational network in the sustainability field, as well as define specific barriers to success for these networks. These specific factors and barriers to success are identified and explored across: Academic, Business, and Non-Profit sectors, with the ultimate objective of increasing the performance of Emerging Sustainability Networks (ESNs), removing barriers in the field, and planning strategically to achieve success in the sustainability movement. / <p>shawn.westcott@gmail.com, doyle.molly@gmail.com, dermco@gmail.com</p>

Comment peut-on devenir plus conscients des sources de connaissance au sein des organisations des humains? Les changements économiques et technologiques rapides forcent les organisations à devenir plus souples, agiles et interdisciplinaires. Pour cela, les organisations cherchent des alternatives pour les structures de communication hiérarchiques traditionnelles qui entravent les pratiques de collaboration ascendantes. Pour que les méthodes ascendantes soient efficaces, il est nécessaire d'offrir aux membres l'accès à l'information et à l'expertise dont ils ont besoin pour prendre des décisions qualifiées. Ceci est un défi complexe qui implique la culture organisationnelle, l'informatique et les pratiques de travail. Un défaut au niveau de l'application de ce système peut aborder des points critiques qui peuvent ralentir les processus de travail, d'entraver l'innovation et qui conduisent souvent au travail suboptimal et redondant. Par exemple, une enquête 2014 de 152 dirigeants de Campus IT aux Etats-Unis, estime que 19% des systèmes informatiques du campus sont redondants, ce qui coûte les universités des Etats-Unis 3.8B$ par an. Dans l'ensemble, les travailleurs intellectuels trouvent l'information dont ils ont besoin seulement 56% du temps. Avec un quart du temps total des travailleurs intellectuels consacré à la recherche et l'analyse des informations. Ce gaspillage de temps coûte 7K$ pour chaque employé par an. Un autre exemple du gaspillage est celui des nouveaux arrivants et des employés promus qui peuvent prendre jusqu'à 2 ans pour s'intégrer pleinement au sein de leur département. En outre et selon des enquêtes étendues, seulement 28% des apprenants estiment que leurs organisations actuelles «utilisent pleinement» les compétences qu'ils ont actuellement capable d'offrir et 66% prévoient quitter leur organisation en 2020. Réussir la résolution de ce défi est capable de motiver les membres de l'organisation, ainsi que d'y améliorer l'innovation et l'apprentissage. L'objectif de cette thèse est de mieux comprendre ce problème en explorant les défis rencontrés par le service d'informatique dans une université et un centre de recherche interdisciplinaire. Deuxièmement, co-développer et mettre en œuvre une solution avec ces institutions, je décris leur utilisation des logiciels que nous avons développés, les résultats et la valeur obtenus avec ces pilotes. Troisièmement, tester l'efficacité de la solution, et explorer de nouvelles applications et le potentiel d'un tel système similaire pour être utilisé dans une plus grande échelle. Pour mieux comprendre le problème je me suis engagé dans une discussion avec les membres et les dirigeants des deux organisations. Une conclusion importante des discussions est que les membres de ces organisations souffrent souvent d'un manque de sensibilisation à propos de leurs connaissances-compétences au niveau d'organisation du capital, et la connaissance des processus et des relations sociales avec leurs collègues dans l'organisation. Grâce à cette exposition, les idées novatrices, les opportunités et les intérêts communs des pairs sont sévèrement limités. Cela provoque des retards inutiles dans les projets inter-équipes, des goulots d'étranglement, et un manque de sensibilisation sur les possibilités de stages. Aussi, j'ai craqué le problème et je l’avais défini comme l'une des informations de fragmentation: Différentes informations sont stockées dans des bases de données disparates ou dans la tête des gens, exigeant un effort et de savoir-faire pour l'obtenir. (...) / How can we become more aware of the sources of insight within human organisations? Rapid economical and technological changes force organisations to become more adaptive, agile and interdisciplinary. In light of this, organisations are seeking alternatives for traditional hierarchical communication structures that hinder bottom-up collaboration practices. Effective bottom-up methods require empowering members with access to the information and expertise they need to take qualified decisions. This is a complex challenge that involves organisational culture, IT and work practices. Failing to address it creates bottlenecks that can slow down business processes, hinder innovation and often lead to suboptimal and redundant work. For example, a 2014 survey of 152 Campus IT leaders in the US, estimated that 19% of the campus IT systems are redundant, costing US universities 3.8B$ per year. In aggregate, knowledge workers find the information they need only 56% of the time. With a quarter of knowledge workers total work time spent in finding and analyzing information. This time waste alone costs 7K$ per employee annually. Another example of the waste created is that newcomers and remote employees may take up to 2 years to fully integrate within their department. Furthermore according to extended surveys, only 28% of millennials feel that their current organizations are making ‘full use’ of the skills they currently have to offer and 66% expect to leave their organisation by 2020. Successfully resolving this challenge holds the potential to motivate organisation members, as well as enhance innovation and learning within it. The focus of this thesis is to better understand this problem by exploring the challenges faced by a university IT department and an interdisciplinary research center. Second, co-develop and implement a solution with these institutions, I describe their usage of the software tool we developed, outcomes and value obtained in these pilots. Third, test the effectiveness of the solution, and explore further applications and potential for a similar system to be used in a wider scale. To better understand the problem I engaged in discussion with members and leaders of both organisations. An important conclusion from the discussions is that members of these organizations often suffer from lack of awareness about their organisation’s knowledge capital—the competencies, knowledge of processes and social connections of their colleagues. Due to this exposure to innovative ideas, opportunities and common interests of peers is severely limited. This causes unnecessary delays in inter-team projects, bottlenecks, and lack of awareness about internship opportunities. I further broke down the problem, and defined it as one of information fragmentation: Different information is stored in disparate databases or inside people’s heads, requiring effort and know-how in order to obtain it. Following the conclusions of this analysis and state-of-the-art review, we have set together the goal to create a collaborative visual database to map the people, projects, skills and institutions for the IT department of Descartes University, and in addition, people, interests and internship opportunities within the CRI, an interdisciplinary research and education center. We have also conducted interviews, surveys and quizzes that ascertain that people had difficulties identifying experts outside their core teams. During the course of this thesis, I progressively addressed this challenge by developing two collaborative web applications called Rhizi and Knownodes. Knownodes is a collaborative knowledge graph which utilized information-rich edges to describe relationships between resources. Rhizi is a real-time and collaborative knowledge capital mapping interface. A prominent unique feature of Rhizi is that it provides a UI that turns text-based assertions made by users into a visual knowledge graph. (...)

Identifikační záznam Richterová, Daniela. On line fundraising a mikrofinancování v sociální síti a na Webu 2.0 [Online fundraising and microfinace in the context of social networks and Web 2.0]. Praha, 2011. 102 s. Diplomová práce. Univerzita Karlova v Praze, Filozofická fakulta, Ústav informačních studií a knihovnictví 2011. Vedoucí diplomové práce Mgr. Denisa Kera, Ph.D. Abstract The main focus of this thesis is to characterize online fundraising and microfinance tools in the context of Web 2.0 and social media. The main goal is to analyze and assess the existing philanthropic portals in the Czech Republic and abroad. The thesis includes a theoretical explanation of terminology, principles and technologies of Web 2.0 and social media platforms and their connection to online philanthropy. New phenomena such as crowdfunding, P2P lending and crowdsourcing are clarified. The analytical part focuses on the evaluation of fundraising portals Network for Good and GlobalGiving and microfinace portals Kiva and LoanBack. Czech philanthropic online projects are represented by Šance pro draha, myELEN, Daruj správně and Skutečný dárek. Particular emphasis is given to monitoring and evaluating the extent of Web 2.0 principles and technologies integration. The conclusions contain suggestions for implementing the findings...

Det kan idag vara svårt för företag att engagera sin publik på grund av allt innehåll som ständigtpubliceras. Transmedialt berättande har kommit att bli ett begrepp som tillåter publik attinteragera med innehållet och sprida det vidare. Konceptet har kommit att bli ettmarknadsföringsverktyg för att det tillåter att kunna interagera med målgrupp och sprida ettföretags information.Tidigare exempel på transmedialt berättande appliceras i huvudsak på större företag ochproduktioner. Syftet med studien är därför att utforska transmedialt berättande sommarknadsföringsverktyg för mindre verksamheter. Detta sker genom att praktiskt utforma enkampanj tillsammans med STPLN där STPLN står som exempel för hur detta kan appliceras påen mindre verksamhet.Studien har använt sig av två kvalitativa metoder - deltagande design ochfokusgruppsintervjuer. Deltagande design är studiens primära datainsamlingsmetod och haranvänts för att låta STPLN vara en del av arbetsprocessen då dessa besitter kunskap som är avvärde för utformningen av kampanjen. Utformningsarbetet har genomförts med hjälp av bådaparternas expertis, STPLN och författarna till studien. Fokusgrupperna med berörd målgrupputvärderade det praktiska arbetet.Resultatet av studien visar på att den transmedialt berättande kampanjen för STPLN börutformas utifrån aktivt deltagande, kollektiv intelligens, interaktion och platsspecifiktberättande. Detta kan i sin tur generera spridning i och med att det tillåter användaren att varaden indirekta marknadsföraren för kampanjen. / Today it is difficult for companies to engage the audience due to the content that is constantlybeing published. Transmedia storytelling allows the user to interact with the content and to passit through. The concept has become an effective marketing tool to interact with the target groupand to spread a companys’ information.Previous examples of transmedia storytelling are mainly applied on enterprises and largeproductions. Thus, the purpose is to explore transmedia storytelling as a marketing tool forsmaller organizations. It happens by practically designing a campaign together with STPLNwhere STPLN stand as an example of how it can be applied to a smaller organization.The thesis has used two qualitative methods - participatory design and focus groups.Participatory design is the primary method and has been used to include STPLN in the processdue to their knowledge which is of value for the campaign. The practical work has beenimplemented by the expertise from both parties, the organization and the authors of the thesis.The target group then evaluated the practical work through two focus groups.The result indicates that the transmedia storytelling campaign for STPLN should be designedbased on the aspects of active participation, collective intelligence, interaction and site specificstorytelling. Subsequently this may generate in spreadability of the campaign since it allows theuser to be its indirect marketer.

Nous décrivons le phénomène d’engagement à travers des expériences transmédia coconstruites avec les bénéficiaires dans le contexte de la formation pour adultes. Nous abordons ce terrain en faisant l’hypothèse qu’un transmédia à valeur expérientielle permet d’accroitre la participation des sujets pour consolider l’engagement en formation. Cette hypothèse ouvre la perspective d’une médiation de type transmédia capable, d’intégrer des objectifs d’exploitation scientifique de l’engagement et de valorisation de la participation et de l’attention qui pourraient être intéressants pour d’autres corpus.À partir d’un cadre d’analyse centré sur les bénéficiaires des transactions, notre enquête met en exergue différentes formes d’engagement suivant des transmédia hybrides aux caractéristiques spécifiques. La complémentarité de ces transmédia a favorisé divers régimes d’engagement observés de façon ponctuelle, pour un engagement sur la durée. / We describe the phenomenon of engagement through co-constructed transmedia experiences with the beneficiaries in the context of adult education. We approach this ground on the assumption that a transmedia with experiential value makes it possible to increase the participation of subjects to consolidate the commitment in training. This hypothesis opens up the prospect of a transmedia type of mediation capable of integrating the objectives of scientific exploitation for the commitment and enhancement of participation and the attention that could be interesting for other corpuses. Based on an analysis framework focused on the beneficiaries of transactions, our survey highlighted different forms of hybrid transmedia engagement with specific characteristics. The complementarity of these transmedia has favoured various commitment regimes observed on an ad hoc basis for a long-term commitment.

This study has focused on how the Facebook group #jagärhär has been working on inviting people to participate in the conversation against hate culture online. To examine this, we have conducted qualitative interviews with members and administrators from the group, and made a rhetorical text analysis on posts made in the group. The theoretical concepts used in the analysis are: convergence, participatory culture and democracy, collective intelligence, collective identity and doxa. By using these theoretical concepts, certain strategies in the group could be seen. Some of the most important strategies and tactics that could be seen were that the group had a strict structure - to facilitate engagement and participation - and that there was great focus on being encouraging and motivating in their language. It was also seen that it was important for the group to be visible in traditional media, and to be noticed by public figures - like celebrities - in order to be more visible and to inspire more people to participate / Denna studie har undersökt hur Facebookgruppen #jagärhär har gått till väga för att bjuda in till deltagande i samtalet mot hatkultur online. För att undersöka detta har vi gjort kvalitativa intervjuer med medlemmar och administratörer från gruppen, samt gjort en retorisk textanalys på inlägg som gjorts i gruppen. De teoretiska begrepp som använts i analysen är: konvergens, deltagarkultur och demokrati, kollektiv intelligens, kollektiv identitet och doxa. Genom att använda dessa teoretiska begrepp kunde vissa strategier i gruppen skönjas. Några av de viktigaste strategier och taktiker som kunde ses var att gruppen hade en tydlig struktur - för att underlätta engagemang och deltagande -  och att det var stort fokus på att vara uppmuntrande och motiverande i sitt språk. Det gick även att se att det var viktigt för gruppen att synas mycket i traditionella medier, samt att uppmärksammas av offentliga personer, för att kunna bli mer synliga och kunna inspirera fler till att delta.

Made available in DSpace on 2016-04-29T14:23:52Z (GMT). No. of bitstreams: 1 Davi Marcos Machado.pdf: 448497 bytes, checksum: 9f7a19fb13d50b4a4a08e568c575dd89 (MD5) Previous issue date: 2009-05-26 / Ending of century XX and mainly from the beginning of the XXI century, the popularization of the Internet access and the emergence of software which provide friendly environment for the inter-relationship of people in virtual space (MySpace, Orkut, Blogspot etc), has made the cyberspace to be occupied by a huge number of people with more diverse interests, which resulted in the appearance of virtual communities or social networks. These communities or networks are organized around several themes and interests. May simply be groups of adolescents who have fun to exchange views on some prominent personality in the media to communities that discuss issues such as education, philosophy, public health or groups that develop a project of great social or economic relevance. The objective of this research is to evaluate, through empirical analysis, based on the available literature, the feasibility of classifying the millions of virtual communities or social networks in just three major groups: virtual communities or social networks organized around projects, people and ideas. We believe that these three major groups are able to include all types of social groups in cyberspace, considering that each one has its peculiarities of organization and structure. "Project means a temporary business or a complex sequence of activities to provide a product. For people we considered the charismatic individual, able to attract other individuals to their environment, either by their capacity for leadership or the ability to provide interest information to a group of people. Ideas is meant a concept, a set of thoughts of an individual or a social group on any one topic, theory, point of view or opinion. The purpose of this classification (projects, people and ideas) is to identify the different forms of grouping, outlining the main features of each of these groups, the structure of the environment in which it is organized and dynamic. These settings can help people, institutions or companies who wish to use the cyberspace how environment of knowledge generation or development of activities or simply exchange ideas. From the characteristics of each type of community is possible to define the best structure and environment to be built, considering the interests and goals of those who structure the community or the network / No final do século XX e no início do século XXI, a popularização do acesso a Internet e o surgimento de softwares amigáveis e ambientes propícios à inter-relação de pessoas no espaço virtual (MySpace, Orkut, Blogspot etc) fez com que o ciberespaço passasse a ser povoado por um número imenso de pessoas com os mais diversos interesses, que resultou no surgimento de comunidades virtuais ou de redes sociais. Essas comunidades ou redes se organizam em torno dos mais diversos interesses. Podem ser grupos de adolescentes que se divertem ao trocar impressões sobre alguma personalidade em destaque na mídia até comunidades que debatem temas como educação, filosofia, saúde pública ou mesmo grupos que desenvolvem algum projeto de grande relevância social ou econômica. O objetivo desta pesquisa é avaliar a viabilidade de se classificar os milhões de comunidades virtuais ou redes sociais em apenas três grandes agrupamentos: comunidades ou redes organizadas em torno de projetos , de pessoas e de idéias . Acreditamos que esses três grandes grupos são capazes de comportar todos os tipos de agrupamentos sociais no ciberespaço, sendo que cada um deles possui suas peculiaridades de organização e estrutura. Entendemos por projeto um ação temporária que tempo por objetivo fornecer um produto singular. Por pessoas consideramos o individuo carismático, com capacidade de atração de outros indivíduos para seu entorno; e por idéias se entende um conceito, um conjunto de pensamentos ou concepções de um indivíduo ou de um grupo social sobre um tema qualquer. O objetivo de tal classificação (projetos, pessoas e idéias) é identificar as diferentes formas de agrupamento e apontar suas principais características. Tais definições podem contribuir com pessoas, instituições ou empresas que pretendam utilizar o ciberespaço como ambiente de geração de conhecimento ou de desenvolvimento de atividades ou simplesmente troca de idéias. A partir das características de cada tipo de comunidade é possível se definir qual a melhor estrutura, levando-se em conta o interesse e objetivo de quem estrutura a comunidade ou a rede