000 | 03247namaa2200481uu 4500 | ||
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001 | oapen51439 | ||
003 | oapen | ||
005 | 20240507100210.0 | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 211111s2021 xx |||||o ||| 0|eng d | ||
020 | _a9780367456528 | ||
020 | _a9780367456535 | ||
020 | _a9781003024583 | ||
040 |
_aoapen _coapen |
||
041 | 0 | _aeng | |
042 | _adc | ||
072 | 7 |
_aJM _2bicssc |
|
072 | 7 |
_aJMB _2bicssc |
|
100 | 1 |
_aEngel, Uwe _4edt |
|
245 | 1 | 0 | _aHandbook of Computational Social Science, Volume 2 |
260 |
_bTaylor & Francis _c2021 |
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300 | _a1 online resource | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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506 | 0 |
_aFree-to-read _fUnrestricted online access _2star |
|
520 | _a"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." | ||
540 |
_aAll rights reserved _uhttp://oapen.org/content/about-rights |
||
546 | _aEnglish | ||
650 | 7 |
_aPsychological methodology _2bicssc |
|
650 | 7 |
_aPsychology _2bicssc |
|
653 | _aAI, 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 | ||
700 | 1 |
_aEngel, Uwe _4oth |
|
700 | 1 |
_aLyberg, Lars _4edt |
|
700 | 1 |
_aLyberg, Lars _4oth |
|
700 | 1 |
_aQuan-Haase, Anabel _4edt |
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700 | 1 |
_aQuan-Haase, Anabel _4oth |
|
700 | 1 |
_aXun Liu, Sunny _4edt |
|
700 | 1 |
_aXun Liu, Sunny _4oth |
|
793 | 0 | _aOAPEN Library. | |
856 | 4 | 0 |
_uhttps://library.oapen.org/handle/20.500.12657/51439 _70 _zFree-to-read: OAPEN Library: description of the publication |
999 |
_c36526 _d36526 |