This thesis seeks to extend the application of Social Network Analysis (SNA) to temporal graphs, in particular providing new insights for the understanding of covert networks. The analyses undertaken reveal informative features and properties of individuals' affiliations under covertness that also illustrate how both individuals and events influence the network structure. The review of the literature on covert networks provided in the initial two chapters suggests the presence of some ambiguities concerning how authors define structural properties and dynamics of covert networks. Authors sometimes disagree and use their findings to explain opposite views about covert networks. The controversy in the field is used as a starting point in order to justify the methodological application of SNA to understand how individuals involved in criminal and illegal activities interact with each other. I attempt to use a deductive approach, without preconceived notions about covert network characteristics. In particular, I avoid considering covert networks as organisations in themselves or as cohesive groups. I focus on individuals and their linkages constructed from their common participation in illicit events such as secret meetings, bombing attacks and criminal operations. In order to tackle these processes I developed innovative methods for investigating criminals' behaviours over time and their willingness to exchange tacit information. The strategy implies the formulation of a network model in order to represent and incorporate in a graph three types of information: individuals, events, and the temporal dimension of events. The inclusion of the temporal dimension offers the possibility of adopting a more comprehensive theoretical framework for considering individuals and event affiliations. This thesis expands the analysis of bipartite covert networks by adopting several avenues to explore in this perspective. Chapter 3 proposes a different way to represent two-mode networks starting from the use of line-graphs, namely the bi-dynamic line-graph data representation (BDLG), through which it is possible to represent the temporal evolution of individual's trajectories. The following chapter 4 presents some reflections about the idea of cohesion and cohesive subgroups specific to the case of two-mode networks. Based on the affiliation matrices, the analysis of local clustering through bi-cliques offers an attempt to analyse the mechanism of selecting accomplices while taking into account time. Chapter 5 is concerned with the concept of centrality of individuals involved in flows of knowledge exchanges. The theoretical and analytical framework helps in elaborating how individuals share their acquired hands-on experiences with others by attending joint task activities over time. Chapter 6 provides an application of the approaches introduced in the preceding chapters to the specific case of the Noordin Top terrorist network. Here, the knowledge of experience flow centrality measure opens up a new way to quantify the transmission of information and investigate the formation of the criminal capital. Finally, the last Chapter 7 presents some future research extensions by illustrating the versatility of the proposed approaches in order to provide new insights for the understanding of criminals' behaviours.

Personality, that is intra-individual consistency and inter-individual variation in behaviour, is widespread throughout the animal kingdom. This challenges traditional evolutionary assumptions that selection should favour behavioural flexibility, and that variation in behavioural strategies reflects stochastic variation around a single optimal behavioural strategy. Adaptive models to explain personality within the framework of evolutionary and behavioural ecology exist, and are typically empirically explored by identifying proximate associations to, and the functional consequences of, personality expression. To date, such studies have typically quantified a narrow range of personality traits within a species, and focused on captive populations or species with relatively limited behavioural or social repertoires. In this thesis, personality is studied in wild Barbary macaques (Macaca sylvanus). Quantification of personality structure in the species was conducted using a multi-method approach, and subsequently, it was examined whether physiological stress response (a proximate association) was related to personality expression, and whether personality expression affected social (functional) outcomes for individuals. Seven personality constructs were identified in Barbary macaques. Three personality constructs were related to physiological stress responses (Excitability, Tactility and Exploration), with the relationship between stress and personality expression dependent on sex, and in some cases rank or age. Two personality constructs (Excitability and Exploration) were associated with measures of social integration. Subjects generally socially assorted themselves according to personality, tending to be in proximity to individuals with a similar personality to themselves. This study contributes methodologically by demonstrating the plausibility of multi-method approaches to measuring personality in wild primates, and empirically, by generating evidence supporting adaptive models for the evolution of personality, namely that intra-individual consistency in behaviour may be mediated by physiology and that inter-individual variation in behaviour has functional benefits in the formation of social relationships and social structures.

Com o aumento dos usuários acessando a internet no Brasil, cresce a quantidade de conteúdo produzido por brasileiros. Assim se torna importante classificar os melhores autores para que se tenha mais confiança nos textos lidos. Nesse sentido, esta dissertação faz um estudo sobre a descoberta de autoridades em tópicos na blogosfera brasileira. O escopo de estudo e análise é a plataforma de publicação de blogs, Blogspot, sobre os blogueiros que se identificam como brasileiros. Para tanto, foram coletados nove milhões de postagens do ano de 2012 e considerados os comentários como fonte de relacionamento entre os blogueiros para gerar uma rede social. Essa rede foi usada para experimentos do algoritmo de identificação de autoridades em tópicos. O algoritmo utilizado como base é o Topic PageRank, separando os diversos tópicos da blogosfera pelas tags que os usuários definem em suas postagens e posteriormente construindo a lista das autoridades em tais tópicos. Experimentos realizados demonstram que o método proposto resulta em melhor ranqueamento que o algoritmo original do PageRank. Cabe salientar que foi feita uma caracterização dos dados coletados por um questionário aplicado a quatro mil autores. / With the intesification of users accessing the Internet in Brazil, the amount of content produced by Brazilians increases. Thus, it becomes important to classify the best authors to have more confidence in the texts read. In this sense, this work presents a study on subject of topic authorities discovery in the Brazilian blogosphere. The scope of the study is the Blogspot platform, focusing on bloggers who identify themselves as Brazilians. To this end, we collected nine millions posts in the year of 2012 and considered the comments as a source of relationship between bloggers to generate a social network. This network was used for performing experiments considering the proposed approach to identify topic authorities. The algorithm used is based on the Topic PageRank, which can separate the different blogosphere’s topics by tags that users use on their posts, and then building the list of authorities on such topics. The experiments conducted show that the proposed approach results in better ranking than the original PageRank algorithm. We also characterize the collected database with a survey of over four thousand authors.

110f. / Submitted by Oliveira Santos Dilzaná (dilznana@yahoo.com.br) on 2013-06-27T13:22:56Z No. of bitstreams: 1 Dissertação de Mestrado -Fernanda de Souza Brito.pdf: 1010273 bytes, checksum: c78b30b1c17fdb6595779693572982b1 (MD5) / Approved for entry into archive by Ana Portela(anapoli@ufba.br) on 2013-06-27T15:09:22Z (GMT) No. of bitstreams: 1 Dissertação de Mestrado -Fernanda de Souza Brito.pdf: 1010273 bytes, checksum: c78b30b1c17fdb6595779693572982b1 (MD5) / Made available in DSpace on 2013-06-27T15:09:22Z (GMT). No. of bitstreams: 1 Dissertação de Mestrado -Fernanda de Souza Brito.pdf: 1010273 bytes, checksum: c78b30b1c17fdb6595779693572982b1 (MD5) Previous issue date: 2012 / CAPES / Este estudo examinou a relação entre estilos interpessoais e a participação do indivíduo nas redes sociais em diferentes ambientes de trabalho. Redes sociais se formam pelos vínculos afetivos, cognitivos e de compartilhamento de recursos estabelecidos entre atores sociais. Diferenças de desempenho no trabalho podem estar relacionadas ao posicionamento das pessoas em suas redes sociais. Ocupar uma posição de centralidade em uma rede social possibilita a aquisição de informações importantes e várias formas de influência interpessoal. A conquista dessas posições privilegiadas está associada a benefícios como sucesso na carreira, desempenho e satisfação no trabalho. Estudos sobre personalidade têm experienciado um renascimento no âmbito organizacional, e muitos têm evidenciado a importância de características da personalidade para prever resultados ocupacionais. Sabe-se que a predominância de determinadas características de personalidade no ambiente de trabalho formam modos peculiares de convivência do grupo, assim, é importante lembrar que ambientes variam em termos de quais estilos de personalidade valorizam e conferem aceitação ao seu portador. Os estilos interpessoais são estratégias comportamentais que descrevem a maneira habitual de uma pessoa interagir socialmente e buscar aceitação e status nas coletividades em que participa. Nesse sentido, os estilos interpessoais são importantes para compreender o sucesso interpessoal do indivíduo na sua busca por ser aceito, reconhecido e ter um lugar de destaque no seu ambiente de trabalho. Deste modo, o objetivo deste estudo foi analisar e comparar a relação entre estilos interpessoais e centralidade nas redes sociais em diferentes equipes de trabalho. Participaram desta pesquisa 80 trabalhadores distribuídos em 03 equipes de diferentes empresas: marketing de um jornal (MKT, n=24); serviços de registro documentos (SRD, n=20); fábrica de aparelhos mecânicos (FAB, n=36). O instrumento foi composto por variáveis sócio-demográficas, pelo Inventário ESEI (Escalas de Estilos Interpessoais), e pelo questionário sociométrico que possibilitou o cálculo dos índices de centralidade das redes de confiança. As equipes foram caracterizadas em relação às variáveis sócio-demográficas, ao tipo de ambiente ocupacional e ao perfil médio de estilos interpessoais. Em seguida, os estilos interpessoais dos atores foram correlacionados aos seus índices de centralidade na rede de confiança, e alguns casos foram analisados. Foram encontradas diferenças significativas nas dimensões de estilos interpessoais entre as equipes, e a análise correlacional e qualitativa dos estilos interpessoais dos atores centrais, indicaram que cada equipe valoriza atores com diferentes perfis interpessoais, conferindo-lhes aceitação e prestígio. Os resultados revelam a importância do tipo de ambiente ocupacional para compreender os estilos interpessoais predominantes na equipe e suas relações com a centralidade dos atores na rede de confiança. As implicações das relações entre os estilos interpessoais, a centralidade dos atores nas redes de confiança e os tipos de ambiente ocupacional são discutidas. Por fim, considera-se a importância de alinhar dimensões da personalidade ao ambiente ocupacional na busca por uma compreensão cada vez mais acurada sobre os comportamentos humanos no trabalho. This study examined the relationship between interpersonal styles and the individual's participation in social networks in different workplaces. Social networks are formed by emotional ties, cognitive, and resource sharing established between social actors. Differences in job performance may be related to the positioning of people in their social networks. Occupy a position of centrality in a social network enables the acquisition of important information and various forms of interpersonal influence. The achievement of these privileged positions is associated with benefits such as career success, performance and job satisfaction. Studies on personality have experienced a renaissance in the organizational, and many have shown the importance of personality traits to predict occupational outcomes. It is known that the prevalence of certain personality traits in the workplace form particular ways of living of the group, so it is important to remember that environments vary in terms of personality styles which value and give acceptance to the wearer. The interpersonal styles are behavioral strategies that describe the usual way a person interacts socially and seek acceptance and status in the communities in which it participates. In this sense, interpersonal styles are important to understand the individual's interpersonal success in their search to be accepted, recognized and have a prominent place on your workplace. Thus, the objective of this study was to analyze and compare the relationship between interpersonal styles and centrality in social networks in different teams. In this study, participated 80 workers, divided into 03 teams from different companies: marketing department of a newspaper (MKT, n= 24); services registration documents (SRD, n= 20); factory mechanical (FAB, n= 36). The questionnaire consisted of sociodemographic variables, the Inventory ESEI (Interpersonal Styles Scale), and the sociometric questionnaire that enabled the calculation of the indices of centrality of trust networks. The teams were characterized in relation to socio-demographic variables, the type of workplace and the average profile of interpersonal styles. Then the interpersonal styles of the actors were correlated to their levels of centrality in the trust network, and some cases were analyzed. There were significant differences in the dimensions of interpersonal styles between teams, and correlational analysis of qualitative and interpersonal styles of key players, each team indicated that values interpersonal actors with different profiles, giving them acceptance and prestige. The results reveal the importance of the kind of workplace to understand the interpersonal styles prevalent in the team and its relations with the centrality of actors in the network of trust. The implications of the relationship between interpersonal styles, the centrality of the actors in the networks of trust and the kinds of workplace are discussed. Finally, we consider the importance of aligning the personality dimensions of occupational environment in the quest for a more accurate understanding of human behavior at work. / Salvador

Internet tem sido uma importante fonte para as pessoas que buscam informações de saúde. Isto é particularmente problemático na perspectiva da Web 2.0. A Web 2.0 é a segunda geração da World Wide Web, onde os usuários interagem e colaboram uns com os outros como criadores de conteúdo. A falta de qualidade das informações médicas na Web 2.0 tem suscitado preocupações com os impactos prejudiciais que podem acarretar. São muitos os aspectos relacionados à qualidade da informação que devem ser investigados, como por exemplo, existe alguma evidência de que o autor tem alguma autoridade no domínio da saúde? Há indícios de que os autores são tendenciosos? Como saber se a fonte de informação tem reputação, como separar as fontes de boa qualidade das outras? Esses questionamentos se tornam mais evidentes quando se faz buscas no Twitter. O usuário precisa por si só selecionar o conteúdo que acredita que tenha qualidade entre as centenas de resultados. Nesse contexto, o principal objetivo deste trabalho é propor e avaliar uma abordagem que permita estimar a reputação de fontes de informação no domínio da saúde. Acredita-se que discussões sobre reputação só fazem sentido quando possuem um propósito e estão inseridas em um contexto. Sendo assim, considera-se que reputação é um atributo que um usuário se apropria quando a informação que ele divulga é crível e digna de confiança. As contribuições desta tese incluem uma nova metodologia para estimar a reputação e uma estrutura topológica de rede baseada no grau de interação entre atores sociais. O estudo permitiu compreender como as métricas afetam o ordenamento da reputação. Escolher a métrica mais apropriada depende basicamente daquilo que se quer representar. No nosso caso, o Pagerank funcionou como um “contador de arcos” representando apenas uma medida de popularidade daquele nó. Verificou-se que popularidade (ou uma posição de destaque na rede) não necessariamente se traduz em reputação no domínio médico. Os resultados obtidos evidenciaram que a metodologia de ordenamento e a topologia da rede obtiveram sucesso em estimar a reputação. Além disso, foi verificado que o ambiente Twitter desempenha um papel importante na transmissão da informação e a “cultura” de encaminhar uma mensagem permitiu inferir processos de credibilidade e consequentemente a reputação. / The Internet is an important source for people who are seeking healthcare information. This is particularly problematic in era of Web 2.0. The Web 2.0 is a second generation of World Wide Web, where users interact and collaborate with each other as creators of content. Many concerns have arisen about the poor quality of health-care information on the Web 2.0, and the possibility that it leads to detrimental effects. There are many issues related to information quality that users continuously have to ask, for example, is there any evidence that the author has some authority in health domain? Are there clues that the authors are biased? How shall we know what our sources are worth, how shall we be able to separate the bad sources from the good ones? These questions become more obvious when searching for content in Twitter. The user then needs to manually pick out high quality content among potentially thousands of results. In this context, the main goal of this work is to propose an approach to infer the reputation of source information in the medical domain. We take into account that, discussion of reputation is usually not meaningful without a specific purpose and context. Thus, reputation is an attribute that a user comprises, and the information disseminated by him is credible and worthy of belief. Our contributions were to provide a new methodology to Rank Reputation and a new network topological structure based on weighted social interaction. The study gives us a clear understanding of how measures can affect the reputation rank. Choosing the most appropriate measure depends on what we want to represent. In our case, the PageRank operates look alike “edges counts” as the “popularity” measures. We noticed that popularity (or key position in a graph) does not necessarily refer to reputation in medical domain. The results shown that our rank methodology and the network topology have succeeded in achieving user reputation. Additionally, we verified that in Twitter community, trust plays an important role in spreading information; the culture of “retweeting” allowed us to infer trust and consequently reputation.

This dissertation studies partnerships among non- governmental organizations (NGOs) and the resulting consequences of these collaborations. The presence of NGOs in the international system is recognized with scholarly works examining what they are, what they do, and what is their role. However, it is also necessary to systematically analyze the causes for collaborations among NGOs and the following consequences. I ask what determines for NGOs to partner with one another. And, who benefits from these collaborations? I carefully place my study within the broader context of the main international relations paradigms and within the specific debates concerning the NGOs. Using social network analysis, quantitative tools, and in-depth interviews I find that similarity is a main determinant for NGOs to collaborate with one another. Importantly, my findings show that not only shared altruistic goals, as proposed by the dominant literature, but also shared strategic goals matter in the choices for partners. I further show that shared altruistic and strategic goals also influence who the final beneficiaries from the collaborations are. My findings reveal that less often vulnerable populations receive a direct help, even when the organizations advance principled goals. I conclude that NGOs have not only altruistic goals but also strategic needs and wants. The forging of their partnerships and the outcomes of their collaborations are influenced by these distinct goals. NGOs, as strategic actors, make complex decisions, that momentously bring a limited impact on vulnerable populations and the international system overall.

The notion of an "orthodox core-heterodox periphery" structure and the extent of interdisciplinary links have been widely discussed, and partially investigated bibliometrically, within economic discourse. We extend this research by applying tools from social network analysis to citation data of three economics departments located in Vienna, two mainstream and one non-mainstream, to assess their relative citation patterns. We show that both mainstream economics departments follow the asserted core-periphery pattern and have a mono-disciplinary research focus, while the citation network of the non-mainstream department has a polycentric structure and is both more heterodox and interdisciplinary. These findings suggest that discussions about the future of heterodox economics should pay more attention to the organizational level and seek allies from other disciplines.

Os contextos em que as organizações operam e agem mudaram drasticamente nos últimos anos. Neste sentido, o espaço físico e a organização encontram-se conectados. As famosas palavras de Winston Churchill em 19431: “Nós moldamos nossos prédios e nossas construções nos moldam”, indiretamente já se referia à importância do espaço físico em relação a interação entre indivíduos. O design dos espaços de trabalho é normalmente guiado por topologias (formas de configurar layouts: aberto, fechado, celular) que descrevem e determinam a qualidade das interações. Mas a questão do layout do espaço como fator de influência da troca de conhecimentos entre colaboradores é uma dimensão pouco considerada os pesquisadores da gestão organizacional, ficando restrito a arquitetos e designers a preocupação com a elaboração e configuração de um layout físico favorável. Considerando este contexto, o presente trabalho propõe, como objetivo geral, desenvolver uma sistemática que permita analisar a disposição do ambiente de trabalho com base na análise de redes sociais (SNA) com o intuito de promover a interação social e a transferência de conhecimentos entre os membros de uma equipe. A proposta desta dissertação é baseada em uma abordagem combinada de métodos quantitativos e estudo de caso. Nesses termos, os dados desta pesquisa buscam analisar a interação do layout físico com a transferência do conhecimento no ambiente de uma equipe médica. Essa interação foi analisada através da teoria das redes sociais. Como principais resultados obtiveram-se: (i) a sistematização da literatura sobre o tema da transferência do conhecimento e análise de redes sociais; (ii) análise e aplicação da prática das análises das redes sociais e estudo do layout e (iii) proposta de uma versão inicial de um artefato para auxiliar profissionais da gestão organizacional que se interessem em analisar a rede social de um ambiente antes de alterar ou elaborar um novo layout para que os colaboradores possam ter mais interação e com isso melhorar a transferência do conhecimento e, consequentemente, a inovação organizacional. / The contexts in which organizations operate and act have changed dramatically in recent years. In this sense, the physical space and the organization are connected. The famous words said by Winson Churchill in 1943: “We shape our buildings and afterwards our building shape us”, indirectly already noted the importance of the physical space and interaction between individuals. The design of office spaces is often guided by general typologies (cellular, open and closed office) to describe and determine the quality of interactions in office structures. However, the layout of spaces, as an influence factor for knowledge sharing between people, is a dimension little considered by researchers from the organizational management field. Architects and designers are the only concerned about the design and configuration of a physical layout to strengthen such interaction. Based in this context, this work proposes, as main objective, to develop a systematic that allows analyzing the work environment disposition based on both a network analysis and on a knowledge transfer perspective. This proposal is based on a combined quantitative and a case study approach. In these terms, the collected data was used to analyze the interaction of a medical team when considered the physical layout of their work environment. The interaction was analyzed through the theory of social networks. As main results, we highlight the following: (i) the systematization of the literature on the subject of knowledge transfer and social network analysis; (ii) a practical application of social networks in the studies of office layouts; and, (iii) the proposal of an artifact to help management professionals to analyze the social network of an environment before changing or developing a new layout focused on the improvement of people interaction and, consequently, improving the organizational innovation.

This thesis reports on the social structures underpinning interschool collaboration in the context of Shared Education and the networks of staff relations that have been developed for the purpose of overcoming systemic separation. Drawing upon social network theory, it is argued that in order to further the model of Shared Education the corresponding research and academic enterprise must move beyond the analogous use of the term ‘network’ and consider the concept in a more analytical manner. In this sequential mixed methods case study, an exploratory network analysis of the staff members (n=97) from five collaborating primary schools in a Shared Education partnership was performed using a socio-metric instrument to examine four collaborative interactions—exchanging resources, seeking professional knowledge, discussing personal matters, and meeting socially. This was then followed by semi-structured interviews with the staff members (n=16) observed as most central within the partnership's network. The findings of this study suggest that Shared Education can facilitate network structures that overcome systemic separation; that partner preference is based upon desirable structural characteristics; that partnership sustainability may be an extension of social network adaptability; that Shared Education offered an alternative model for collegial engagement; that the model can facilitate learning relationships and knowledge creation; and that relational embeddedness is also observed to be a critical aspect of the partnership's leadership. Therefore, it is advocated that those researching Shared Education must develop a more nuanced approach to thinking about the structure of partnerships and the relationships that constitute them.

abstract: With the rise of social media, hundreds of millions of people spend countless hours all over the globe on social media to connect, interact, share, and create user-generated data. This rich environment provides tremendous opportunities for many different players to easily and effectively reach out to people, interact with them, influence them, or get their opinions. There are two pieces of information that attract most attention on social media sites, including user preferences and interactions. Businesses and organizations use this information to better understand and therefore provide customized services to social media users. This data can be used for different purposes such as, targeted advertisement, product recommendation, or even opinion mining. Social media sites use this information to better serve their users. Despite the importance of personal information, in many cases people do not reveal this information to the public. Predicting the hidden or missing information is a common response to this challenge. In this thesis, we address the problem of predicting user attributes and future or missing links using an egocentric approach. The current research proposes novel concepts and approaches to better understand social media users in twofold including, a) their attributes, preferences, and interests, and b) their future or missing connections and interactions. More specifically, the contributions of this dissertation are (1) proposing a framework to study social media users through their attributes and link information, (2) proposing a scalable algorithm to predict user preferences; and (3) proposing a novel approach to predict attributes and links with limited information. The proposed algorithms use an egocentric approach to improve the state of the art algorithms in two directions. First by improving the prediction accuracy, and second, by increasing the scalability of the algorithms. / Dissertation/Thesis / Doctoral Dissertation Computer Science 2014