19 research outputs found

    Graphical Analysis of Social Group Dynamics

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    Identifying communities in social networks becomes an increasingly important research problem. Several methods for identifying such groups have been developed, however, qualitative analysis (taking into account the scale of the problem) still poses serious problems. This paper describes a tool for facilitating such an analysis, allowing to visualize the dynamics and supporting localization of different events (such as creation or merging of groups). In the final part of the paper, the experimental results performed using the benchmark data (Enron emails) provide an insight into usefulness of the proposed tool.Comment: Fourth International Conference on Computational Aspects of Social Networks, CASoN 2012, Sao Carlos, Brazil, November 21-23, 2012, pp. 41-46; IEEE Computer Society, 201

    Predicting Community Evolution in Social Networks

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    Nowadays, sustained development of different social media can be observed worldwide. One of the relevant research domains intensively explored recently is analysis of social communities existing in social media as well as prediction of their future evolution taking into account collected historical evolution chains. These evolution chains proposed in the paper contain group states in the previous time frames and its historical transitions that were identified using one out of two methods: Stable Group Changes Identification (SGCI) and Group Evolution Discovery (GED). Based on the observed evolution chains of various length, structural network features are extracted, validated and selected as well as used to learn classification models. The experimental studies were performed on three real datasets with different profile: DBLP, Facebook and Polish blogosphere. The process of group prediction was analysed with respect to different classifiers as well as various descriptive feature sets extracted from evolution chains of different length. The results revealed that, in general, the longer evolution chains the better predictive abilities of the classification models. However, chains of length 3 to 7 enabled the GED-based method to almost reach its maximum possible prediction quality. For SGCI, this value was at the level of 3 to 5 last periods.Comment: Entropy 2015, 17, 1-x manuscripts; doi:10.3390/e170x000x 46 page

    Techniques for calculating software product metrics threshold values: A systematic mapping study

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    Several aspects of software product quality can be assessed and measured using product metrics. Without software metric threshold values, it is difficult to evaluate different aspects of quality. To this end, the interest in research studies that focus on identifying and deriving threshold values is growing, given the advantage of applying software metric threshold values to evaluate various software projects during their software development life cycle phases. The aim of this paper is to systematically investigate research on software metric threshold calculation techniques. In this study, electronic databases were systematically searched for relevant papers; 45 publications were selected based on inclusion/exclusion criteria, and research questions were answered. The results demonstrate the following important characteristics of studies: (a) both empirical and theoretical studies were conducted, a majority of which depends on empirical analysis; (b) the majority of papers apply statistical techniques to derive object-oriented metrics threshold values; (c) Chidamber and Kemerer (CK) metrics were studied in most of the papers, and are widely used to assess the quality of software systems; and (d) there is a considerable number of studies that have not validated metric threshold values in terms of quality attributes. From both the academic and practitioner points of view, the results of this review present a catalog and body of knowledge on metric threshold calculation techniques. The results set new research directions, such as conducting mixed studies on statistical and quality-related studies, studying an extensive number of metrics and studying interactions among metrics, studying more quality attributes, and considering multivariate threshold derivation. 2021 by the authors. Licensee MDPI, Basel, Switzerland.Funding: Authors thanks to the Molde University College-Specialized Univ. in Logistics, Norway for the support of Open access fund.Scopus2-s2.0-8512089773

    Automating interpretations of trustworthiness

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    Modelling, Dimensioning and Optimization of 5G Communication Networks, Resources and Services

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    This reprint aims to collect state-of-the-art research contributions that address challenges in the emerging 5G networks design, dimensioning and optimization. Designing, dimensioning and optimization of communication networks resources and services have been an inseparable part of telecom network development. The latter must convey a large volume of traffic, providing service to traffic streams with highly differentiated requirements in terms of bit-rate and service time, required quality of service and quality of experience parameters. Such a communication infrastructure presents many important challenges, such as the study of necessary multi-layer cooperation, new protocols, performance evaluation of different network parts, low layer network design, network management and security issues, and new technologies in general, which will be discussed in this book

    Southern Adventist University Undergraduate Catalog 2011-2012

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    Southern Adventist University\u27s undergraduate catalog for the academic year 2011-2012.https://knowledge.e.southern.edu/undergrad_catalog/1063/thumbnail.jp

    El Libro de los libros: 1160 Libros profesionales de descarga gratuita y legal para Bibliotecarios y Documentalistas

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    [ES]Compilación de 1060 libros de Información y Documentación con enlace al texto completo de la obra, resumen y referencia bibliográfica, de interés para profesionales de las bibliotecas y servicios de información[EN] Compilation books 1060 on Information and Documentation with link to the full text of the work, abstract and bibliographic references of interest to library professionals and information service

    IFPOC Symposium:Discovering antecedents and consequences of complex change recipients' reactions to organizational change.

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    IFPOC symposium: Discovering antecedents and consequences of complex change recipients' reactions to organizational change Chairs: Maria Vakola (Athens University of Economics and Business) & Karen Van Dam (Open University) Discussant: Mel Fugate (American University, Washington, D.C) State of the art Organisations are required to continuously change and develop but there is a high failure rate associated with change implementation success. In the past two decades, change researchers have started to investigate change recipients' reactions to change recognizing the crucial role of these reactions for successful change. This symposium aims at identifying and discussing the complex processes that underlie the relationships among antecedents, reactions and outcomes associated with organizational change. New perspective / contributions This symposium consists of five studies that extend our knowledge in the field by (i) providing an analysis of change recipients' reactions going beyond the dichotomous approaches (acceptance or resistance) (ii) revealing understudied antecedents-reactions and reactions-consequences patterns and relationships (iii) shedding light on the role of contextual factors i.e team climate and individual factors i.e emotion regulation on the adaptation to change. This symposium is based on a combination of both quantitative (i.e diary, survey) and qualitative (i.e interviews) research methodology. Research / practical implications This symposium aims to increase our understanding of the complex processes associated with change recipients' reactions to change. Discovering how these reactions are created and what are their results may reveal important contingencies that can explain how positive organizational outcomes during times of change can be stimulated which is beneficial for both researchers and practitioners
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