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Baigiamajame darbe išnagrinėtas internetinių socialinių tinklų tyrimo procesas bei tam skirti įrankiai. Darbo pagrindą sudaro trys dalys, kuriose: apžvelgti populiariausi internetiniai socialiniai tinklai, jų realizavimo technologijos; išanalizuotas internetinių socialinių tinklų tyrimo procesas, pasiūlytas trijų etapų tyrimo modelis, apžvelgti kiekviename etape naudotini įrankiai; taip pat pateikiama pasiūlyto modelio realizacija „PERL“ programavimo kalba, analizuojanti socialinio portalo „Twitter“ duomenis ir sugebanti pateikti trijų tipų ataskaitas. Darbą sudaro 6 dalys: įvadas; internetiniai socialiniai tinklai; internetinių socialinių tinklų tyrimo proceso modelis, tyrimo įrankiai; internetinių socialinių tinklų tyrimo modelio realizavimas; išvados; literatūros sąrašas. Darbo apimtis – 61 p. teksto be priedų, 28 iliustr., 2 lent., 18 bibliografiniai šaltiniai. Atskirai pridedami darbo priedai. / The research theme of this master’s final work is social-networking analysis process and tools relevant to it. The framework of this thesis consists of three parts: an overview of the most popular online social networks and their implementation technologies; a research on social-networking analysis process with a three-stage model proposed, all stages and tools relevant to them analyzed; also, implementation of the proposed model, written in “PERL” programming language, able to analyze a social portal named "Twitter", also able to provide three types of reports. Structure: introduction; social-networking; social-networking analysis process model, analysis tools; social-networking analysis process realization; conclusions, references. Thesis consists of: 61 p. text without appendixes, 28 pictures, 2 tables, 18 bibliographical entries. Appendixes included.

South Africa the development of small tourism businesses are extremely vital for job creation and a development of a new economy. The South African tourism industry has to look at more innovative ways for marketing their products and services to develop the small tourism businesses. The arrival of web 2.0 led to the development and evolution of web-based communities, hosted services and web applications such as social networking sites. Social networking sites have encouraged new ways to communicate and share information on the web. When it comes to online networking, websites are commonly used. These websites are known as social networking sites and function as online communities on the internet. Social networking sites are currently one of the applications of Web 4.0 developments. This means creation by the majority and web participation a necessity. The importance of customer engagement enablement is recognised. Operating systems are in cloud-computing. The communication medium became social media systems and people sell everything via desktop, mobile, tablets and iTV. This study focuses on the Eastern Free State tourism destination and its development through social networks. The main aim of the study is to critically analyse the application and effective utilisation of social network site technologies within the Eastern Free State tourism industry and to explore this objective of social network applications used within the small businesses in Eastern Free State tourism industry. The empirical study was conducted by means of a field study using a structured questionnaire and interviews with key stakeholders. Data from 60 small tourism businesses were collected and a total of 55 businesses restricted to Eastern Free State Drakensberg were analysed in the process of collecting the peer-aided questionnaires. The biggest problems in the use of digital media are knowledge to develop a proper product that has measured marketing outcomes for the small business. / Thesis (MBA)--North-West University, Potchefstroom Campus, 2013.

South Africa the development of small tourism businesses are extremely vital for job creation and a development of a new economy. The South African tourism industry has to look at more innovative ways for marketing their products and services to develop the small tourism businesses. The arrival of web 2.0 led to the development and evolution of web-based communities, hosted services and web applications such as social networking sites. Social networking sites have encouraged new ways to communicate and share information on the web. When it comes to online networking, websites are commonly used. These websites are known as social networking sites and function as online communities on the internet. Social networking sites are currently one of the applications of Web 4.0 developments. This means creation by the majority and web participation a necessity. The importance of customer engagement enablement is recognised. Operating systems are in cloud-computing. The communication medium became social media systems and people sell everything via desktop, mobile, tablets and iTV. This study focuses on the Eastern Free State tourism destination and its development through social networks. The main aim of the study is to critically analyse the application and effective utilisation of social network site technologies within the Eastern Free State tourism industry and to explore this objective of social network applications used within the small businesses in Eastern Free State tourism industry. The empirical study was conducted by means of a field study using a structured questionnaire and interviews with key stakeholders. Data from 60 small tourism businesses were collected and a total of 55 businesses restricted to Eastern Free State Drakensberg were analysed in the process of collecting the peer-aided questionnaires. The biggest problems in the use of digital media are knowledge to develop a proper product that has measured marketing outcomes for the small business. / Thesis (MBA)--North-West University, Potchefstroom Campus, 2013.

Submitted by Aelson Maciera (aelsoncm@terra.com.br) on 2017-10-25T18:10:45Z No. of bitstreams: 1 DissWAO.pdf: 2144900 bytes, checksum: 1ae2b51ca6cabfb039762c2dbf9522d6 (MD5) / Approved for entry into archive by Ronildo Prado (producaointelectual.bco@ufscar.br) on 2017-10-31T11:20:14Z (GMT) No. of bitstreams: 1 DissWAO.pdf: 2144900 bytes, checksum: 1ae2b51ca6cabfb039762c2dbf9522d6 (MD5) / Approved for entry into archive by Ronildo Prado (producaointelectual.bco@ufscar.br) on 2017-10-31T11:20:23Z (GMT) No. of bitstreams: 1 DissWAO.pdf: 2144900 bytes, checksum: 1ae2b51ca6cabfb039762c2dbf9522d6 (MD5) / Made available in DSpace on 2017-10-31T11:45:30Z (GMT). No. of bitstreams: 1 DissWAO.pdf: 2144900 bytes, checksum: 1ae2b51ca6cabfb039762c2dbf9522d6 (MD5) Previous issue date: 2017-06-30 / Outra / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / The present study has the objective to investigate the network conformation of scientific collaboration's postdegree program in Sducation located in Brazil's Southwest. Use it in two methodologies, the social media analysis and the bibliometry. The scientific production was collected in lattes plataform deriving from curriculum of accredited teachers in 15 postdegree programs. Considering datas by two last tests of CAPES (triennia 2007-9 2010-2). The bibliographic records was extracted between scriptlattes software. The Vantage Point® software and UCINET was used to systematization and analysis of the results. Found that the area published on average 60% of articles in collaboration and there is a decrease (5%) in articles with authors individual. there is a uniform distribution of articles between the strata Qualis, ranging from 10% to 15%. according to the Qualis area, 14% of articles not total score for the program. there is a diversity in the profile of collaboration of the programs, some have more than 70% of its production in collaboration, and others with a maximum of 40%. the protagonists in collaboration scientific are programs level 6 (ufscar-and and) and level 5 (ufscar). the level 7 and most of the level 6 do not appear prominently. there are no greater approach between teachers of the programs for publication, for having higher level. the higher the average articles by program, the greater the possibility of publication joint. specific areas of education with other areas of knowledge (psychology, health, biology, etc.), impact the shape of the scientific production. / O presente estudo teve como objetivo investigar a configuração das redes de colaboração científica dos Programas de Pós-Graduação em Educação localizados no Sudeste do Brasil. Utilizou-se de duas metodologias, a Análise de Redes Sociais e a Bibliometria. A produção científica foi coletada na Plataforma Lattes oriunda dos currículos de docentes de credenciados em 15 programas de pós-graduação considerando dados das duas últimas avaliações da Capes (triénios 2007-9 e 2010-2). Os registros bibliográficos de 4.826 artigos foram extraídos através do software ScriptLattes. Os softwares Vantage Point® e UCINET foram usados para sistematização e análise dos resultados. Constatou que a área publicou em média 60% dos artigos em colaboração e há uma diminuição (5%) nos artigos com autores individuais. Há uma distribuição uniforme dos artigos entre os estratos Qualis, com variação entre 10% e 15%. De acordo com o Qualis da área, 14% dos artigos não somam pontuação para o programa. Existe uma diversidade no perfil de colaboração dos programas, alguns possuem mais de 70% da sua produção em colaboração, e outros com no máximo 40%. Os protagonistas na colaboração científica são os programas nível 6 (UFSCar-EE) e nível 5 (UFSCar). Os de nível 7 e maioria do nível 6 não aparecem com destaque. Não há uma maior aproximação entre os docentes dos programas para publicação, por terem maior nível. Quanto maior a média de artigos por programa, maior a possibilidade de publicação conjunta. Áreas específicas da educação com outras áreas de conhecimento (psicologia, saúde, biologia, etc.), impactam a forma da produção científica.

Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-11-07T16:54:43Z No. of bitstreams: 1 DANIEL BRUNO ALVES DOS SANTOS - TESE PPGEE 2015..pdf: 10968924 bytes, checksum: 74bc4c0d565359ae930b79a1277c7506 (MD5) / Made available in DSpace on 2018-11-07T16:54:43Z (GMT). No. of bitstreams: 1 DANIEL BRUNO ALVES DOS SANTOS - TESE PPGEE 2015..pdf: 10968924 bytes, checksum: 74bc4c0d565359ae930b79a1277c7506 (MD5) Previous issue date: 2015-11-11 / CNPq / O uso das redes sociais tem demonstrado enorme potencial para a criação, divulgação de informações e formação de opinião. Um dos problemas centrais que tem atraído a atenção de pesquisadores consiste em encontrar um conjunto inicial de usuários que, ao receberem algum incentivo, podem influenciar uma porção substancial da rede social para comprar um produto, adotar uma inovação ou propagar notícias. Este problema é denominado de Maximização de Influência. Embora avanços expressivos tenham sido alcançados desde a definição deste problema, a maior parte dos esforços tem sido concentrada em solucionar limitações de escalabilidade e de como aprender os parâmetros da solução. Como resultado, outros aspectos importantes foram pouco explorados, como, por exemplo, a relação de dependência entre a influência social e os tópicos de interesse dos usuários. Recentemente, essa questão tem sido abordada em um problema denominado de Maximização de Influência baseada em Tópicos, que consiste em encontrar um conjunto inicial de usuários com a habilidade de influenciar uma porção substancial de uma rede social em relação a um tópico específico. Todavia, as soluções propostas não são adequadas para redes sociais de larga escala e precisam incorporar mecanismos para determinar a influência social exercida entre os usuários em relação a cada tópico de interesse. Consequentemente, para estas abordagens, torna-se difícil ou mesmo inviável lidar de forma rápida e eficiente com as mudanças constantes na estrutura das redes sociais. Tal problema é particularmente relevante quando são considerados os tópicos de interesse dos usuários e a influência social que os mesmos exercem uns sobre os outros em cada tópico. Neste trabalho é proposta uma solução escalável baseada em mineração de dados sobre um registro de propagações de informações, com o objetivo de selecionar diretamente o conjunto inicial de usuários influentes em um determinado tópico, sem a necessidade de incorporar uma etapa anterior de aprendizagem de influência social relacionada a esse tópico. Como benefício adicional, o conjunto inicial de usuários obtido possui uma garantia de aproximação em relação à solução ótima. Por fim, é apresentada uma avaliação experimental sobre um conjunto de dados contendo propagações de informações de uma rede social real, onde são obtidas evidências de que a solução proposta mantém um custo-benefício entre escalabilidade e acurácia. / The use of social networks has shown great potential for information diffusion and formation of public opinion. One key problem that has attracted researchers' interest is how to find an initial set of users such that, when given an incentive, they might influence a substantial portion of the network to buy a product, adopt an innovation, or spread news. This problem is known as Influence Maximization. Although major improvements have been made since the íirst solution for this problem was developed, most of these efforts have been concerned on how to solve scalability issues and how to learn the solution parameters. As a result, other key aspects have gained minor interest, such as depending on relationship between social influence and users' topics of interest. Recently, this issue has been addressed as a problem known as Topic-based Influence Maximization, referring to finding a small set of users on a social network that have the ability to influence a substantial portion of users on a given topic. The proposed solutions, however, are not suitable for large-scale social networks and must incorporate mechanisms for determining social influence among users for each topic of interest. Consequently, for these approaches, it becomes difficult or even unfeasible to deal quickly and efficiently with constant changes in the structure of social networks. This problem is particularly relevant when the topics of interest of users and the social influence they exert on each other for every topic are considered together. In this work we propose a scalable solution that makes use of data mining based on an information propagation log, in order to directly select the initial set of influential users on a particular topic without needing to incorporate a previous learning stage of social influence with regard to that topic. As an additional benefit, the targeted seed set also offers an approximation guarantee of the optimal solution. Finally, an experimental evaluation is presented based on datasets containing information propagation data from real social networks where evidence has been found that the proposed solution maintains a trade-off between scalability and accuracy.