Handbook of Computational Social Science, Volume 2
"The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities...
সংরক্ষণ করুন:
| বিন্যাস: | Online |
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| ভাষা: | ইংরেজি |
| প্রকাশিত: |
Taylor & Francis
2021
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | OCN: 1282299052 |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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| _version_ | 1869526554796621824 |
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| collection | Directory of Open Access Books |
| description | "The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.
The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions.
With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors." |
| format | Online |
| id | doab-20.500.12854ir-72778 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-727782025-08-13T14:11:42Z Handbook of Computational Social Science, Volume 2 Engel, Uwe Quan-Haase, Anabel Xun Liu, Sunny Lyberg, Lars AI, big data, data analysis, data archives, data ownership, data science, digital trace, ethical standards, ethics, human-robot interaction, information technology, machine learning, open data, politics, policy, quantitative, replication, social, social media, socio-robots, survey data, survey design, survey methodology, unstructured data thema EDItEUR::J Society and Social Sciences::JM Psychology thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology thema EDItEUR::J Society and Social Sciences::JM Psychology thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology "The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors." 2021-11-12T04:14:42Z 2021-11-12T04:14:42Z 2021-11-11T13:10:34Z 2021 book OCN: 1282299052 https://library.oapen.org/handle/20.500.12657/51439 9780367456535 9780367456528 9781003024583 https://directory.doabooks.org/handle/20.500.12854/72778 eng open access Taylor & Francis Routledge fa69b019-f4ee-4979-8d42-c6b6c476b5f0 Chapter 2 A brief history of Apis Chapter 21 From Frequency Counts to Contextualized Word Embeddings Chapter 19 Unsupervised Methods Chapter 21 From Frequency Counts to Contextualized Word Embeddings 9780367456535 9780367456528 9781003024583 Routledge open access |
| spellingShingle | AI, big data, data analysis, data archives, data ownership, data science, digital trace, ethical standards, ethics, human-robot interaction, information technology, machine learning, open data, politics, policy, quantitative, replication, social, social media, socio-robots, survey data, survey design, survey methodology, unstructured data thema EDItEUR::J Society and Social Sciences::JM Psychology thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology thema EDItEUR::J Society and Social Sciences::JM Psychology thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology Handbook of Computational Social Science, Volume 2 |
| title | Handbook of Computational Social Science, Volume 2 |
| title_full | Handbook of Computational Social Science, Volume 2 |
| title_fullStr | Handbook of Computational Social Science, Volume 2 |
| title_full_unstemmed | Handbook of Computational Social Science, Volume 2 |
| title_short | Handbook of Computational Social Science, Volume 2 |
| title_sort | handbook of computational social science volume 2 |
| topic | AI, big data, data analysis, data archives, data ownership, data science, digital trace, ethical standards, ethics, human-robot interaction, information technology, machine learning, open data, politics, policy, quantitative, replication, social, social media, socio-robots, survey data, survey design, survey methodology, unstructured data thema EDItEUR::J Society and Social Sciences::JM Psychology thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology thema EDItEUR::J Society and Social Sciences::JM Psychology thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology |
| topic_facet | AI, big data, data analysis, data archives, data ownership, data science, digital trace, ethical standards, ethics, human-robot interaction, information technology, machine learning, open data, politics, policy, quantitative, replication, social, social media, socio-robots, survey data, survey design, survey methodology, unstructured data thema EDItEUR::J Society and Social Sciences::JM Psychology thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology thema EDItEUR::J Society and Social Sciences::JM Psychology thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology |
| url | OCN: 1282299052 |