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  • 1
    Orig.schr. Ausgabe: 第1版
    Title: 「猫」の社会学 : 猫から見る日本の近世-現代
    Title: ネコ ノ シャカイガク : ネコ カラ ミル ニホン ノ キンセイ-ゲンダイ
    Author, Corporation: 遠藤, 薰
    Publisher: 東京 : 勁草書房
    ISBN: 9784326654406
    Language: Japanese
    Pages: viii, 301, xvi Seiten , Illustrationen , 20 cm
    Edition: dai1ban
    RVK:
    Keywords: Cats Social aspects 17th century ; History ; Cats Social aspects 18th century ; History ; Cats Social aspects 19th century ; History ; Cats Social aspects 20th century ; History ; Cats Social aspects 21st century ; History ; ねこ(猫) 歴史 ; 猫 日本 ; 歴史 ; 江戸時代 ; 猫 日本 ; 歴史 ; 明治以後 ; 日本 歴史 ; 近世 ; 日本 歴史 ; 近代 ; Soziologie ; Geschichte 794- ; Mensch ; Tiere ; Zen-Buddhismus ; Shintō ; Schrein ; Sensōji ; Ukiyo-e ; Massenmedien ; Kino ; Internetphänomen ; Kabuki ; Modernisierung ; Seidenraupenzucht ; Inari Gott
    Note: Includes bibliographical references (pages v-xiv (third group)) and index , 参考文献: 巻末pv-xiv , 索引: 巻末pii-iv
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  • 2
    ISBN: 9789811061387
    Language: English
    Pages: 1 Online-Ressource (201 pages)
    Parallel Title: Print version Endo, Kaoru Reconstruction of the Public Sphere in the Socially Mediated Age
    DDC: 302.30284999999998
    Keywords: Online social networks ; Online social networks ; Electronic books
    Abstract: Intro -- Preface -- Contents -- 1 Public Sphere and Social Capital in the Age of Intermediality: Approach from Computational Social Science -- 1.1 Society 5.0 and Community 5.0 -- 1.2 2D Risk Society and Cyber Public Sphere -- 1.3 The Possibility of Computational Social Science -- 1.4 The Structure of the Volume -- Theory -- 2 What Is Public Opinion? In the Age of Comlexedly-Mediated Democracy and Scandal Politics -- 2.1 Introduction -- 2.2 Public Opinion/Will of the People in Modern Times and Related Questions -- 2.2.1 What Is ``public Opinion?'' -- 2.2.2 ``Public Opinion'' from ``The Will of the People''/Moving Towards ``Public Opinion'' -- 2.2.3 Changes in the Backdrop---Structural Variations of the World -- 2.2.4 Changes in the Backdrop---Variations in the Media Environment -- 2.2.5 Public Opinion in the Environment of Intermediality -- 2.3 Municipal Government and Public Opinion in the 2010s -- 2.3.1 From Inose's Resignation to Masuzoe's Resignation -- 2.3.2 The Advancement of Intermediality -- 2.3.3 Public Opinion and Scandals -- 2.4 The ``Hoikuen Ochita'' Movement of 2016 -- 2.4.1 2016 as a Year of Scandal -- 2.4.2 Development of the ``Hoikuen Ochita'' Movement -- 2.4.3 The ``Hoikuen Ochita'' Movement and Its Aftermath -- 2.5 Masuzoe Scandal -- 2.5.1 Origins of the Scandal -- 2.5.2 Governor Masuzoe and the Actions of the Tokyo Metropolitan Assembly -- 2.5.3 The Evil of Underhandedness---Why Did the Bunshun Accusations Resound so Effectively? -- 2.5.4 Daytime Programming and Ratings---``The King in Exile'' on TV -- 2.6 2016 Tokyo Gubernatorial Election -- 2.6.1 Dynamics of the 2016 Tokyo Gubernatorial Election -- 2.6.2 Public Opinion of the Tokyo Gubernatorial Election -- 2.6.3 Results of the Tokyo Gubernatorial Election -- 2.7 Conclusion -- References
    Abstract: 3 Does Agent-based Modeling Flourish in Sociology? Mind the Gap between Social Theory and Agent-based Models -- 3.1 Agent-based Modeling and Social Theory -- 3.2 Significance of Incorporating Meaning and Reflexivity in Agent-based Modeling -- 3.3 Revisiting the Logic of Agent-based Modeling -- 3.4 Building Reflexivity and Meaning in Agent-based Models -- 3.5 Assuming an Infinite Set of Goals in Agent-based Models -- 3.6 Conclusions: Future Direction of Agent-based Modeling -- References -- 4 Does the Internet Make People Selfish? Effects of the Internet on Citizens' Political Attitudes -- 4.1 Background -- 4.2 Data and Methods -- 4.2.1 Data -- 4.2.2 Dependent Variables -- 4.2.3 Independent Variable -- 4.2.4 Control Variables -- 4.2.5 Analytic Strategy -- 4.2.6 Descriptive Statistics -- 4.3 Analytical Results -- 4.4 Discussion -- 4.5 Conclusion -- References -- Empirical Investigation -- 5 Social Capital on Social Media -- 5.1 Introduction -- 5.2 Related Works -- 5.2.1 Twitter as Social Media -- 5.2.2 Information-Sharing on Twitter During Disasters -- 5.2.3 Social Capital -- 5.3 Social Capital on Social Media -- 5.3.1 Web Questionnaire -- 5.3.2 Correlation Between Bonding and Bridging Social Capitals -- 5.3.3 Behavioral Features of Users -- 5.3.4 Relationship Between Behavior Features and Social Capital -- 5.4 Social Capital During Disasters -- 5.4.1 Effect of Social Capital During Disasters -- 5.4.2 Results of Hypothesis Verification -- 5.5 Conclusion -- References -- 6 An Examination of a Novel Information Diffusion Model for Social Media -- 6.1 Information Diffusion on Social Media -- 6.2 False Rumors Spread During Great East Japan Earthquake -- 6.2.1 Method for Analyzing Tweets -- 6.2.2 False Rumor About Cosmo Oil Co., Ltd. Japan -- 6.2.3 False Rumor About Power Saving in Kansai Region -- 6.2.4 Single-Burst and Multi-burst False Rumor Diffusion
    Abstract: 6.3 Information Diffusion Model Based on Infectious Disease Model -- 6.3.1 Model of Infectious Disease -- 6.3.2 Differences Between Diffusion of Infections and False Rumors -- 6.3.3 Extended SIR Model -- 6.3.4 Simulation of Extended SIR model -- 6.3.5 Parameters Obtained from Actual Data -- 6.3.6 Experiment to Reproduce False Rumor Diffusion Using Extended SIR Model -- 6.4 Information Diffusion Model Based on Word-of-mouth Propogation -- 6.4.1 Weak Points of Extended SIR Model -- 6.4.2 State Transition Model -- 6.4.3 Multiplexing of Information Paths -- 6.4.4 Life Pattern -- 6.4.5 User Diversity -- 6.4.6 Experiment for Reproducing False Rumor Diffusion Using AIDM -- 6.5 Conclusion -- References -- 7 What Are Practical User Attributes in the Social Media Era?: Proposal for User Attribute Extraction from Their Social Capital -- 7.1 Introduction -- 7.2 Related Works -- 7.2.1 Profile Estimation of Social Media Users -- 7.2.2 Community Detection from Social Media -- 7.3 Framework for User Attribute Extraction -- 7.3.1 User Community Detection -- 7.3.2 Characteristic Words Extraction for Community -- 7.4 Evaluation -- 7.4.1 Community Detection -- 7.4.2 Dataset -- 7.4.3 Qualitative Evaluation -- 7.4.4 Quantitative Evaluation -- 7.5 Application -- 7.5.1 Media Analysis -- 7.5.2 Information Propagation Analysis -- 7.6 Conclusion -- References -- 8 Measuring Social Change Using Text Data: A Simple Distributional Approach -- 8.1 Introduction -- 8.2 A Simple Distributional Approach -- 8.3 Data -- 8.4 Seasonal and Trend-Cycle Adjustments -- 8.5 Keyword Extraction and Event Association -- 8.6 Discussion -- References -- 9 Value Co-creative Manufacturing Methodology with IoT-Based Smart Factory for Mass Customisation -- 9.1 Introduction -- 9.2 From ``Use Value'' to ``Value in-Use'' -- 9.3 Consumer-Based Model for Tailor-Made Rubber Products
    Abstract: 9.4 Value Co-creative Manufacturing Methodology -- 9.5 Business-Oriented Model -- 9.6 Case Study: Rubber Product -- 9.7 Conclusion -- References -- 10 Has the 3.11 Disaster Brought About Conservatism in Japan? -- 10.1 Introduction -- 10.1.1 The Earthquake and ``Japanese Pride'' -- 10.1.2 Research Question -- 10.2 Literature Review -- 10.2.1 ``Disaster Utopia'' and the Great Earthquake -- 10.2.2 Limitation -- 10.3 Hypotheses -- 10.3.1 Terror Management Theory -- 10.3.2 Working Hypotheses -- 10.4 Data and Method -- 10.4.1 Data -- 10.4.2 Response Variable: Terror Management -- 10.4.3 Response Variable: Conservatism -- 10.4.4 Estimation Strategy -- 10.5 Result -- 10.5.1 Hypothesis 1 -- 10.5.2 Hypothesis 2 -- 10.6 Discussion -- References
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