Jogos casuais: comunicação, entretenimento e desenvolvimento sustentável em EcoCity

A complexidade do fenômeno comunicacional desafia estudiosos do campo na atualidade, principalmente no âmbito dos ambientes sociais. O processo de interação mediada, por exemplo, ganhou grandes proporções na virada do século XXI com o advento das Tecnologias de Informação e de Comunicação (TIC). Os suportes tecnológicos eletrônicos ou computacionais passaram a nortear grande parte do entretenimento e da comunicação. Nesse caminho esta pesquisa analisa novas práticas de comunicação na atualidade e aponta como os jogos eletrônicos, ou também chamados games, vêm se conjugando nos processos de mediação nessas práticas. O trabalho envolve os jogos para computador, mais especificamente os chamados jogos casuais. O objeto de estudo são os tipos de interação social em jogos casuais online e o corpus de análise é o EcoCity, um jogo de simulação com final aberto que funciona nos sites de serviço de rede social. A abordagem da construção de cidades sustentáveis no game traz fatores ambientais à cena. A hipótese é que a socialização em torno desses fatores podem de alguma forma agregar valor nos usos e apropriações que os indivíduos fazem dos jogos casuais durante os processos comunicativos e interativos.

Exposição da intimidade e performance na hipermodernidade: estreitamento da vida humana?

Esta dissertação tem como objetivo refletir sobre os novos padrões ideais e morais presentes na contemporaneidade: a exposição da intimidade e o culto a performance. Foram entrevistados 8 sujeitos usuários do facebook, principal rede social utilizada no Brasil. Foi utilizada um modelo de entrevista semi-estruturada, com conteúdo invisível, objetivando entender os usos e as influências do facebook sobre os sujeitos. E também foi utilizado o método de etnografia na internet, definida como netnografia. Os resultados apontam que a intimidade exposta no facebook está diretamente influenciada pelo culto à performance, sugerindo um novo eixo sobre a qual a autenticidade se estrutura. O fato dos perfis serem autoconstruídos provoca ainda mais as tendências performáticas. A interioridade humana é permeada por múltiplos aspectos e frequentes instabilidades, porém tais aspectos não parecem valorizados, sendo frequentemente negados. Torna-se importante ampliar estas discussões para que a vida humana tenha possibilidades de manifestações mais plenas.

The Long Voyage to Including Sociocultural Analysis in NOAA’s National Marine Fisheries Service

The United States has managed and analyzed its marine fisheries since 1871, and since 1970 via NOAA’s National Marine Fisheries Service (NMFS). As the primary directive moved from aiding fishermen in expanding their operations emphasizing conservation, the government over time recognized that management involves influencing people not fish, and has hired social scientists to complement the biologists who assess fish populations. This change has not always been smooth. We use archival documents and oral histories to trace the development of sociocultural analytic capabilities within NMFS and describe future plans for growing the program. Four points are made. First, NMFS has created the best developed social science program in NOAA. Second, established institutions change slowly; achieving the social science presence in NMFS has taken over 25 years. Third, change needs visionaries and champions with both tenacity and opportunity. Fourth, social science data collection and research helps in making fishery management decisions, but they have also been useful in evaluating the impact and helping with the recovery from Hurricane Katrina. Good work finds other uses.

A Análise de redes sociais e a perspectiva geoespacial: um estudo de caso para avaliar a capilaridade do fluxo de informações em redes socioespaciais.

A noção de rede social e os métodos em análise em redes sociais (ARS) tem atraído considerável interesse e curiosidade para a comunidade científica nestas últimas décadas, assim como a crescente fascinação pública sobre as relações mais complexas da sociedade moderna. A ARS está baseada na importância de relações entre a interação de unidades. Numa análise de rede social a observação dos atributos sociais de um ator pode ser entendida como padrão ou como uma estrutura de relação entre as unidades. Desta forma, quando empregados a uma perspectiva de rede, é possível estudar os padrões de estruturas relacionais diretamente, sem referência a atributos dos indivíduos envolvidos. Na análise convencional de redes sociais a distância geográfica (ou geoespacial) não tem efeito mapeado na rede. Quando utilizada, esta informação normalmente adquire caráter de um atributo complementar associado individualmente a cada ator (ou aglomerados de atores) da própria rede. O objetivo deste trabalho é demonstrar, numa escala local (de maneira mais granular) como o posicionamento geoespacial dos atores, considerado como elementos da rede, pode desvendar aspectos significativos do comportamento destes que não seriam revelados em análises convencionais. No estudo de caso utilizou-se ainda conceitos de outras disciplinas, como a Matemática e a Física, para verificar a capilaridade do fluxo da informação da rede em três perspectivas distintas: a social, a espacial e a socioespacial. O trabalho descreve o campo emergente de pesquisa em ARS, abordando também questões fundamentais sobre como estas diferentes perspectivas podem trazer resultados mais assertivos para orientar uma tomada de decisão no mercado.

A emoção em rede: as éticas e estéticas Emo

O presente trabalho consiste em analisar as características mais marcantes da tribo urbana Emo, cuja origem se encontra no estilo musical emocore. Trata-se de um estudo que pontua basicamente a música, sexualidade, moda e sentimentalidades no imaginário emo, apresentadas como elementos que se configuram em élans comunitários da tribo. Dentro da perspectiva da Pós-modernidade, a pesquisa não objetiva encontrar razões ou justificativas para o comportamento dos jovens da tribo, apenas ponderar algumas temáticas sob a ótica do imaginário, tribalismo urbano e conceitos de corpo dentro do viés já explorado em pesquisas de Comunicação Social. Tendo a rede social Facebook como principal terreno para realização da netnografia, foram analisadas publicações em perfis e fan pages desmistificando a tribo e mostrando as diversas facetas destes jovens. Ao abordar temas polêmicos como bissexualidade, androginia, suicídio e automutilação, o estudo mostra como os emos se colocam socialmente dentre suas lógicas subversivas e contraditórias elucidando outras formas de ver o mundo. Os conceitos de tribalismo urbano de Maffesoli (1987) guiaram os passos deste estudo que se valeu da ótica deste e de outros autores que tratam questões da Pós-modernidade

Morphological variability between wild populations and inbred stocks of a Chinese minnow, Gobiocypris rarus

Gobiocypris rarus, a small, native cyprinid fish, is currently widely used in research on fish pathology, genetics, toxicology, embryology, and physiology in China. To develop this species as a model laboratory animal, inbred strains have been successfully created. In this study, to explore a method to discriminate inbred strains and evaluate inbreeding effects, morphological variation among three wild populations and three inbred stocks of G. rarus was investigated by the multivariate analysis of eight meristic and 30 morphometric characters. Tiny intraspecific variations in meristic characters were found, but these were not effective for population distinction. Stepwise discriminant analysis and cluster analysis of conventional measures and truss network data showed considerabe divergence among populations, especially between wild populations and inbred stocks. The average discriminant accuracy for all populations was 82.1% based on conventional measures and 86.4% based on truss data, whereas the discriminant accuracy for inbred strains was much higher. These results suggested that multivariate analyses of morphometric characters are an effective method for discriminating inbred strains of G. rarus. Morphological differences between wild populations and inbred strains appear to result from both genetic differences and environmental factors. Thirteen characters, extracted from stepwise discriminant analysis, played important roles in morphological differentiation. These characters were mainly measures related to body depth and head size.

一种宏观网络数据挖掘网格系统

研究宏观网络安全数据挖掘系统的目的是保护大型网络中关键网络基础设施的可用性、机密性和完整性。为此,首先提出了一种宏观网络数据挖掘的系统框架;然后分析了宏观网络挖掘子系统和态势分析子系统;最后利用网格计算技术实现了该平台,并给出了其运行环境。该系统具有可扩展性,能有效进行宏观网络的数据挖掘和实时势态感知.

同事关系质量及其作用机制

Although the research into coworker relationship quality has been recognized one of key factors related to organization performance, and has been thought a new trend in organization behavior research with the flatting of organization structure and complication of task assignment, there is relatively little empirical research on the mechanism between coworkers’ interaction, contraring to the fruitful results on member exchange research based on social network theory, say nothing of the influence of cultural differences such as GUANXI. This research developed the scale for the assessment of Coworker Relationship Quality by literature review, deep interview, and questionnaires, compared the predictable ability of Coworker Relationship Quality (CRQ) scale and Coworker Exchange (CWX) scale on employees’ work attitudes and behaviors. Finally, the mediating effect of Coworker Relationship Quality between employees’ similarities on personality and their work attitudes and behaviors was investigated. Following are main results. Firstly, we found that the interpersonal communication, trust, and mutual support are the key factors of coworker relationship quality, which is similar to the result getting from western samples. But Chinese people are more GUANXI ORIENTATION, means they want to build longtime relationship with others, not only when they are coworkers, but also when one of them left the organization. Secondly, though the core meaning of CRQ and CWX are same, their predictable ability on organization outcomes is different. CRQ is more powerful than CWX, especially on turnover intention. The result showed that after controlling the effect of demographic variables and CRQ, CWX cannot predict turnover intention significantly, but CRQ can still predict turnover intention significantly after controlling demographic variables and CWX. Thirdly, the partial mediating effect of CRQ between positive affectivity similarity and organizational citizenship behavior, coworker satisfaction, organizational commitment and turnover intention are validated, but we did not find the mediating effect of CRQ between demographic variable similarity and workers’ attitudes and behaviors. The Similarity Attraction Paradigm, Social Identity Theory, and Self Category Theory were supported.

社会形势预警的几种建模方法比较

Based on social survey data conducted by local research group in some counties executed in the nearly past five years in China, the author proposed and solved two kernel problems in the field of social situation forecasting: i) How can the attitudes’ data on individual level be integrated with social situation data on macrolevel; ii) How can the powers of forecasting models’ constructed by different statistic methods be compared? Five integrative statistics were applied to the research: 1) algorithm average (MEAN); 2) standard deviation (SD); 3) coefficient variability (CV); 4) mixed secondary moment (M2); 5) Tendency (TD). To solve the former problem, the five statistics were taken to synthesize the individual and mocrolevel data of social situations on the levels of counties’ regions, and form novel integrative datasets, from the basis of which, the latter problem was accomplished by the author: modeling methods such as Multiple Regression Analysis (MRA), Discriminant Analysis (DA) and Support Vector Machine (SVM) were used to construct several forecasting models. Meanwhile, on the dimensions of stepwise vs. enter, short-term vs. long-term forecasting and different integrative (statistic) models, meta-analysis and power analysis were taken to compare the predicting power of each model within and among modeling methods. Finally, it can be concluded from the research of the dissertation: 1) Exactly significant difference exists among different integrative (statistic) models, in which, tendency (TD) integrative models have the highest power, but coefficient variability (CV) ones have the lowest; 2) There is no significant difference of the power between stepwise and enter models as well as short-term and long-term forecasting models; 3) There is significant difference among models constructed by different methods, of which, support vector machine (SVM) has the highest statistic power. This research founded basis in all facets for exploring the optimal forecasting models of social situation’s more deeply, further more, it is the first time methods of meta-analysis and power analysis were immersed into the assessments of such forecasting models.

Constraint-based Mining of Frequent Arrangements of Temporal Intervals

The problem of discovering frequent arrangements of temporal intervals is studied. It is assumed that the database consists of sequences of events, where an event occurs during a time-interval. The goal is to mine temporal arrangements of event intervals that appear frequently in the database. The motivation of this work is the observation that in practice most events are not instantaneous but occur over a period of time and different events may occur concurrently. Thus, there are many practical applications that require mining such temporal correlations between intervals including the linguistic analysis of annotated data from American Sign Language as well as network and biological data. Two efficient methods to find frequent arrangements of temporal intervals are described; the first one is tree-based and uses depth first search to mine the set of frequent arrangements, whereas the second one is prefix-based. The above methods apply efficient pruning techniques that include a set of constraints consisting of regular expressions and gap constraints that add user-controlled focus into the mining process. Moreover, based on the extracted patterns a standard method for mining association rules is employed that applies different interestingness measures to evaluate the significance of the discovered patterns and rules. The performance of the proposed algorithms is evaluated and compared with other approaches on real (American Sign Language annotations and network data) and large synthetic datasets.

Public goods in networks

This paper considers incentives to provide goods that are non-excludable along social or geographic links. We find, first, that networks can lead to specialization in public good provision. In every social network there is an equilibrium where some individuals contribute and others free ride. In many networks, this extreme is the only outcome. Second, specialization can benefit society as a whole. This outcome arises when contributors are linked, collectively, to many agents. Finally, a new link increases access to public goods, but reduces individual incentives to contribute. Hence, overall welfare can be higher when there are holes in a network. © 2006 Elsevier Inc. All rights reserved.

Exact colorations of graphs and digraphs

A coloration is an exact regular coloration if whenever two vertices are colored the same they have identically colored neighborhoods. For example, if one of the two vertices that are colored the same is connected to three yellow vertices, two white and red, then the other vertex is as well. Exact regular colorations have been discussed informally in the social network literature. However they have been part of the mathematical literature for some time, though in a different format. We explore this concept in terms of social networks and illustrate some important results taken from the mathematical literature. In addition we show how the concept can be extended to ecological and perfect colorations, and discuss how the CATREGE algorithm can be extended to find the maximal exact regular coloration of a graph.

The centrality of groups and classes

This paper extends the standard network centrality measures of degree, closeness and betweenness to apply to groups and classes as well as individuals. The group centrality measures will enable researchers to answer such questions as ‘how central is the engineering department in the informal influence network of this company?’ or ‘among middle managers in a given organization, which are more central, the men or the women?’ With these measures we can also solve the inverse problem: given the network of ties among organization members, how can we form a team that is maximally central? The measures are illustrated using two classic network data sets. We also formalize a measure of group centrality efficiency, which indicates the extent to which a group's centrality is principally due to a small subset of its members.

Models of core/periphery structures

A common but informal notion in social network analysis and other fields is the concept of a core/periphery structure. The intuitive conception entails a dense, cohesive core and a sparse, unconnected periphery. This paper seeks to formalize the intuitive notion of a core/periphery structure and suggests algorithms for detecting this structure, along with statistical tests for testing a priori hypotheses. Different models are presented for different kinds of graphs (directed and undirected, valued and nonvalued). In addition, the close relation of the continuous models developed to certain centrality measures is discussed.

Knowledge networks change during radical and incremental innovation episodes: a case study on software developmen

The role intra-organizational knowledge exchanges play in innovation processes has been widely acknowledged in the organizational literature. This paper contributes to the understanding of which specific configurations knowledge networks assume during different phases of radical and incremental innovation processes. The case study we selected is a FLOSS (Free/Libre Open Source Software) community consisting of 233 developers committed to the development of a web browser application since November 2002. By harvesting the mailing list, official blog and code repository of a FLOSS community, we investigate the patterns of knowledge exchange and individual contributions of its developers. We measure structural cohesion and compare global and local network properties at different points in time. Preliminary results show that phases of radical and incremental innovation are associated with specific configurations of the knowledge network as a whole as well as with different network positions of the core developers of the software.