Verwandte Artikel zu Computational Sociology with Python: Data-Driven Insights...
Computational Sociology with Python: Data-Driven Insights into Social Structures, Networks, and Behaviors - Softcover
Inhaltsangabe
Reactive Publishing
Computational Sociology with Python offers a rigorous, hands-on introduction to applying computational methods to the study of society. Bridging social theory and modern data science, this book equips researchers, students, and analysts with the Python tools needed to move beyond traditional surveys and small-scale studies toward large-scale, data-driven analysis of social structures, networks, and human behavior.
What You'll Discover- Core computational approaches to modeling social phenomena, including agent-based models, network analysis, and statistical simulations.
- Practical Python implementations using libraries such as NetworkX, Pandas, NumPy, SciPy, Matplotlib, and scikit-learn to analyze real-world datasets.
- Key topics in computational sociology: social network dynamics, community detection, opinion formation and diffusion, inequality and segregation, collective behavior, and emergent social patterns.
- End-to-end workflows — from data collection and cleaning through exploratory analysis, visualization, and modeling to interpretation of results.
- Theoretical foundations paired with code examples that illustrate how classic sociological concepts (e.g., social capital, structural holes, homophily) can be operationalized and tested at scale.
Written in a clear, accessible style suitable for both social scientists new to programming and data scientists interested in social applications, the book emphasizes reproducible research practices and ethical considerations in computational social science.
Whether you are an academic researcher, graduate student, data analyst, or policy professional, Computational Sociology with Python provides the conceptual framework and technical skills to extract meaningful insights from the complex web of human interactions in the digital age.
Perfect for:
- Sociology and social science students seeking computational methods training
- Data scientists and Python developers exploring social applications
- Researchers working with social media, survey, or administrative data
- Anyone interested in understanding society through code and data
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suchergebnisse für Computational Sociology with Python: Data-Driven Insights...
Beispielbild für diese ISBN
Computational Sociology with Python: Data-Driven Insights into Social Structures, Networks, and Behaviors
Print-on-DemandAnbieter: California Books, Miami, FL, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers I-9798181022546
Neu kaufen
EUR 29,09
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Computational Sociology with Python
Anbieter: PBShop.store US, Wood Dale, IL, USA
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers L2-9798181022546
Neu kaufen
EUR 32,34
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Computational Sociology with Python (Paperback)
Print-on-DemandAnbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. Reactive PublishingComputational Sociology with Python offers a rigorous, hands-on introduction to applying computational methods to the study of society. Bridging social theory and modern data science, this book equips researchers, students, and analysts with the Python tools needed to move beyond traditional surveys and small-scale studies toward large-scale, data-driven analysis of social structures, networks, and human behavior.What You'll DiscoverCore computational approaches to modeling social phenomena, including agent-based models, network analysis, and statistical simulations.Practical Python implementations using libraries such as NetworkX, Pandas, NumPy, SciPy, Matplotlib, and scikit-learn to analyze real-world datasets.Key topics in computational sociology: social network dynamics, community detection, opinion formation and diffusion, inequality and segregation, collective behavior, and emergent social patterns.End-to-end workflows - from data collection and cleaning through exploratory analysis, visualization, and modeling to interpretation of results.Theoretical foundations paired with code examples that illustrate how classic sociological concepts (e.g., social capital, structural holes, homophily) can be operationalized and tested at scale.Written in a clear, accessible style suitable for both social scientists new to programming and data scientists interested in social applications, the book emphasizes reproducible research practices and ethical considerations in computational social science.Whether you are an academic researcher, graduate student, data analyst, or policy professional, Computational Sociology with Python provides the conceptual framework and technical skills to extract meaningful insights from the complex web of human interactions in the digital age.Perfect for: Sociology and social science students seeking computational methods trainingData scientists and Python developers exploring social applicationsResearchers working with social media, survey, or administrative dataAnyone interested in understanding society through code and data This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798181022546
Beispielbild für diese ISBN
Computational Sociology with Python
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers L2-9798181022546
Neu kaufen
EUR 29,92
EUR 4,86 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Computational Sociology with Python (Paperback)
Print-on-DemandAnbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. Reactive PublishingComputational Sociology with Python offers a rigorous, hands-on introduction to applying computational methods to the study of society. Bridging social theory and modern data science, this book equips researchers, students, and analysts with the Python tools needed to move beyond traditional surveys and small-scale studies toward large-scale, data-driven analysis of social structures, networks, and human behavior.What You'll DiscoverCore computational approaches to modeling social phenomena, including agent-based models, network analysis, and statistical simulations.Practical Python implementations using libraries such as NetworkX, Pandas, NumPy, SciPy, Matplotlib, and scikit-learn to analyze real-world datasets.Key topics in computational sociology: social network dynamics, community detection, opinion formation and diffusion, inequality and segregation, collective behavior, and emergent social patterns.End-to-end workflows - from data collection and cleaning through exploratory analysis, visualization, and modeling to interpretation of results.Theoretical foundations paired with code examples that illustrate how classic sociological concepts (e.g., social capital, structural holes, homophily) can be operationalized and tested at scale.Written in a clear, accessible style suitable for both social scientists new to programming and data scientists interested in social applications, the book emphasizes reproducible research practices and ethical considerations in computational social science.Whether you are an academic researcher, graduate student, data analyst, or policy professional, Computational Sociology with Python provides the conceptual framework and technical skills to extract meaningful insights from the complex web of human interactions in the digital age.Perfect for: Sociology and social science students seeking computational methods trainingData scientists and Python developers exploring social applicationsResearchers working with social media, survey, or administrative dataAnyone interested in understanding society through code and data This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798181022546
Neu kaufen
EUR 34,25
EUR 43,19 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Computational Sociology with Python : Data-Driven Insights into Social Structures, Networks, and Behaviors
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingComputational Sociology with Python offers a rigorous, hands-on introduction to applying computational methods to the study of society. Bridging social theory and modern data science, this book equips researchers, students, and analysts with the Python tools needed to move beyond traditional surveys and small-scale studies toward large-scale, data-driven analysis of social structures, networks, and human behavior.What You'll Discover- Core computational approaches to modeling social phenomena, including agent-based models, network analysis, and statistical simulations.- Practical Python implementations using libraries such as NetworkX, Pandas, NumPy, SciPy, Matplotlib, and scikit-learn to analyze real-world datasets.- Key topics in computational sociology: social network dynamics, community detection, opinion formation and diffusion, inequality and segregation, collective behavior, and emergent social patterns.- End-to-end workflows - from data collection and cleaning through exploratory analysis, visualization, and modeling to interpretation of results.- Theoretical foundations paired with code examples that illustrate how classic sociological concepts (e.g., social capital, structural holes, homophily) can be operationalized and tested at scale.Written in a clear, accessible style suitable for both social scientists new to programming and data scientists interested in social applications, the book emphasizes reproducible research practices and ethical considerations in computational social science.Whether you are an academic researcher, graduate student, data analyst, or policy professional, Computational Sociology with Python provides the conceptual framework and technical skills to extract meaningful insights from the complex web of human interactions in the digital age.Perfect for: - Sociology and social science students seeking computational methods training- Data scientists and Python developers exploring social applications- Researchers working with social media, survey, or administrative data- Anyone interested in understanding society through code and data. Bestandsnummer des Verkäufers 9798181022546
Neu kaufen
EUR 40,00
EUR 62,27 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 2 verfügbar