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  • 2015-2019  (3)
  • 2018  (3)
  • Kaya, Mehmet  (2)
  • Arxer, Steven L.
  • Cham : Springer  (3)
  • 1
    ISBN: 9783319615578
    Language: English
    Pages: Online-Ressource (XI, 132 p. 4 illus. in color, online resource)
    Series Statement: International perspectives on social policy, administration, and practice
    Series Statement: SpringerLink
    Series Statement: Bücher
    Series Statement: Springer eBook Collection
    Series Statement: Social Sciences
    Parallel Title: Erscheint auch als Dimensions of community-based projects in health care
    Parallel Title: Printed edition
    Keywords: Social sciences ; Health promotion ; Medical research ; Quality of life ; Social service ; Health psychology ; Social Sciences
    Abstract: This salient reference grounds readers in the theoretical basis and day-to-day practice of community-based health care programs, and their potential as a transformative force in public health. Centering around concepts of self-determination, empowerment, and inclusiveness, the book details the roles of physicians, research, and residents in the transition to self-directed initiatives and greater community control. Community-focused interventions and methods, starting with genuine dialogue between practitioners and residents, are discussed as keys to understanding local voice and worldview, and recognizing residents as active participants and not simply targets of service delivery. And coverage pays careful attention to training issues, including how clinicians can become involved in community-based care without neglecting individual patient needs. Among the topics covered are: Narrative medicine in the context of community-based practice. Qualitative and participatory action research. Health committees as a community-based strategy. Dialogue, world entry, and community-based intervention. Politics of knowledge in community-based work. Training physicians with communities. Dimensions of Community-Based Projects in Health Care challenges sociologists, social workers, and public health administrators to look beyond traditional biomedical concepts of care and naturalistic methods of research, and toward more democratic programs, planning, and policy. The partnerships described in these pages reflect a deep commitment to patients’ lives, and to the future of public health
    Abstract: Introduction: holism, ecology, and community-based medicine -- Narrative medicine and public health -- Qualitative research and participatory action research -- Health committees as a community-based strategy -- Dialogue, relevant medicine, and world entry -- Politics of knowledge in community-based work -- Community mapping and population medicine -- Physician training required for community-based projects -- A cultural or a medical model? -- Primary care, primary health care, and community-based interventions -- Conclusions
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 2
    ISBN: 9783319781969
    Language: English
    Pages: Online-Ressource (X, 249 p. 89 illus., 77 illus. in color, online resource)
    Series Statement: Lecture Notes in Social Networks
    Series Statement: SpringerLink
    Series Statement: Bücher
    Series Statement: Springer eBook Collection
    Series Statement: Social Sciences
    Parallel Title: Erscheint auch als Social network based big data analysis and applications
    Parallel Title: Printed edition
    DDC: 310
    Keywords: Social sciences ; Data mining ; Social Sciences
    Abstract: This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field
    Abstract: Chapter1. Twitter as a Source for Time and Domain Dependent Sentiment Lexicons -- Chapter2. Hiding in Plain Sight: The Anatomy of Malicious Pages on Facebook -- Chapter3. Extraction and Analysis of Dynamic Conversational Networks from TV Series -- Chapter4. Diversity and Influence as Key Measures to Assess Candidates for Hiring or Promotion in Academia -- Chapter5. Timelines of Prostate Cancer Biomarkers -- Chapter6. Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks -- Chapter7. Influence and Extension of the Spiral of Silence in Social Networks: A Data-driven Approach -- Chapter8. Prepaid or Postpaid? That is the question.\\ Novel Methods of Subscription Type Prediction in Mobile Phone Services -- Chapter9. Dynamic Pattern Detection for Big Data Stream Analytics -- Chapter10. Community-based Recommendation for Cold-Start Problem: A Case Study of Reciprocal Online Dating Recommendation -- Chapter11. Combining Feature Extraction and Clustering for Better Face Recognition
    URL: Volltext  (lizenzpflichtig)
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  • 3
    ISBN: 9783030025922
    Language: English
    Pages: 1 online resource (238 pages)
    Series Statement: Lecture Notes in Social Networks Ser.
    Parallel Title: Erscheint auch als
    DDC: 302.30285
    Keywords: Online social networks ; Social media ; Electronic books
    Abstract: Intro -- Contents -- Social Network to Improve the Educational Experience with the Deployment of Different Learning Models -- 1 Introduction -- 2 Social Networks in Education -- 2.1 Facebook -- 2.2 Twitter -- 2.3 YouTube -- 3 SLNs: Sporadic Learning Networks -- 4 OPPIA Platform -- 4.1 Layer Model -- 4.2 OPPIA Architecture -- 4.3 OPPIA Operation -- 5 OPPIA Implementation -- 6 Conclusions and Future Work -- References -- Temporal Model of the Online Customer Review Helpfulness Prediction with Regression Methods -- 1 Introduction -- 2 Related Works -- 2.1 Linear Regression -- 2.2 The Coefficient of Determination -- 2.3 The Akaike Information Criterion -- 3 Method -- 3.1 Corpus Collection -- 3.2 Morphological Preprocessing -- 3.3 Feature Set -- 3.4 Sentiment Feature Selection -- 3.5 Evaluation Index -- 4 Experiments -- 4.1 Authors and Affiliations of Chinese Customer Review Corpus -- 4.2 Experimental Tools -- 4.3 Experimental Results -- 4.4 Discussion -- 5 Conclusion and Future Works -- References -- Traits of Leaders in Movement Initiation: Classification and Identification -- 1 Introduction -- 2 The Proposed Approach -- 2.1 Bidirectional Agreement in Multi-Agent Systems -- 2.2 Bidirectional Agreement Condition -- 2.3 Leaders as State Changers -- 2.4 Approach Overview -- 2.5 FLICA -- 2.6 Leadership Trait Characterization Scheme -- 3 Experimental Setup -- 3.1 Trait of Leadership Model -- 3.2 Datasets -- 3.3 Sensitivity Analysis in Model Classification -- 3.4 Hypotheses Tests -- 3.5 Parameter Setting -- 4 Results -- 4.1 Traits of Leader Classification: Sensitivity Analysis -- 4.2 Trait Identification of Baboon Movement -- 4.3 Trait Identification of Fish Movement -- 4.4 Traits of Leaders as Measure of Degree of Hierarchy Structure -- 5 Conclusions -- References -- Emotional Valence Shifts and User Behavior on Twitter, Facebook, and YouTube.
    Note: Description based on publisher supplied metadata and other sources
    URL: Volltext  (lizenzpflichtig)
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