Probabilistic approaches for social media analysis: data, community and influence
"This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its life...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Tapei ; Chennai ; Tokyo
World scientific
[2020]
|
Schriftenreihe: | East China Normal University scientific reports
vol. 11 |
Schlagworte: | |
Online-Zugang: | FUBA1 URL des Erstveröffentlichers |
Zusammenfassung: | "This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle. The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases"-- |
Beschreibung: | 1 Online-Ressource (xxii, 265 Seiten) Illustrationen |
ISBN: | 9789811207389 |
DOI: | 10.1142/11476 |
Internformat
MARC
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Datensatz im Suchindex
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author | Yue, Kun 1979- Li, Jin Wu, Hao 1979- Liu, Weiyi 1950- Yin, Zidu |
author_GND | (DE-588)1174759267 (DE-588)1208236792 (DE-588)117475981X |
author_facet | Yue, Kun 1979- Li, Jin Wu, Hao 1979- Liu, Weiyi 1950- Yin, Zidu |
author_role | aut aut aut aut aut |
author_sort | Yue, Kun 1979- |
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building | Verbundindex |
bvnumber | BV046811204 |
collection | ZDB-124-WOP |
ctrlnum | (OCoLC)1190912560 (DE-599)BVBBV046811204 |
dewey-full | 302.23/1 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 302 - Social interaction |
dewey-raw | 302.23/1 |
dewey-search | 302.23/1 |
dewey-sort | 3302.23 11 |
dewey-tens | 300 - Social sciences |
discipline | Soziologie |
discipline_str_mv | Soziologie |
doi_str_mv | 10.1142/11476 |
format | Electronic eBook |
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id | DE-604.BV046811204 |
illustrated | Not Illustrated |
index_date | 2024-07-03T14:58:54Z |
indexdate | 2024-07-10T08:54:30Z |
institution | BVB |
isbn | 9789811207389 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032219758 |
oclc_num | 1190912560 |
open_access_boolean | |
owner | DE-188 |
owner_facet | DE-188 |
physical | 1 Online-Ressource (xxii, 265 Seiten) Illustrationen |
psigel | ZDB-124-WOP |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | World scientific |
record_format | marc |
series | East China Normal University scientific reports |
series2 | East China Normal University scientific reports |
spelling | Yue, Kun 1979- Verfasser (DE-588)1174759267 aut Probabilistic approaches for social media analysis data, community and influence Kun Yue, Jin Li, Hao Wu, Weiyi Liu, Zidu Yin (Yunnan University, China) New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Tapei ; Chennai ; Tokyo World scientific [2020] © 2020 1 Online-Ressource (xxii, 265 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier East China Normal University scientific reports vol. 11 "This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle. The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases"-- Social media Data processing Text processing (Computer science) Quantitative research Statistical methods Machine learning Content analysis (Communication) Data processing Social Media (DE-588)4639271-3 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Quantitative Methode (DE-588)4232139-6 gnd rswk-swf Textanalyse (DE-588)4194196-2 gnd rswk-swf Social Media (DE-588)4639271-3 s Textanalyse (DE-588)4194196-2 s Maschinelles Lernen (DE-588)4193754-5 s Quantitative Methode (DE-588)4232139-6 s DE-604 Li, Jin Verfasser aut Wu, Hao 1979- Verfasser (DE-588)1208236792 aut Liu, Weiyi 1950- Verfasser (DE-588)117475981X aut Yin, Zidu Verfasser aut Erscheint auch als Druck-Ausgabe, Hardcover 978-981-120-737-2 East China Normal University scientific reports vol. 11 (DE-604)BV046821394 11 https://doi.org/10.1142/11476 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Yue, Kun 1979- Li, Jin Wu, Hao 1979- Liu, Weiyi 1950- Yin, Zidu Probabilistic approaches for social media analysis data, community and influence East China Normal University scientific reports Social media Data processing Text processing (Computer science) Quantitative research Statistical methods Machine learning Content analysis (Communication) Data processing Social Media (DE-588)4639271-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Quantitative Methode (DE-588)4232139-6 gnd Textanalyse (DE-588)4194196-2 gnd |
subject_GND | (DE-588)4639271-3 (DE-588)4193754-5 (DE-588)4232139-6 (DE-588)4194196-2 |
title | Probabilistic approaches for social media analysis data, community and influence |
title_auth | Probabilistic approaches for social media analysis data, community and influence |
title_exact_search | Probabilistic approaches for social media analysis data, community and influence |
title_exact_search_txtP | Probabilistic approaches for social media analysis data, community and influence |
title_full | Probabilistic approaches for social media analysis data, community and influence Kun Yue, Jin Li, Hao Wu, Weiyi Liu, Zidu Yin (Yunnan University, China) |
title_fullStr | Probabilistic approaches for social media analysis data, community and influence Kun Yue, Jin Li, Hao Wu, Weiyi Liu, Zidu Yin (Yunnan University, China) |
title_full_unstemmed | Probabilistic approaches for social media analysis data, community and influence Kun Yue, Jin Li, Hao Wu, Weiyi Liu, Zidu Yin (Yunnan University, China) |
title_short | Probabilistic approaches for social media analysis |
title_sort | probabilistic approaches for social media analysis data community and influence |
title_sub | data, community and influence |
topic | Social media Data processing Text processing (Computer science) Quantitative research Statistical methods Machine learning Content analysis (Communication) Data processing Social Media (DE-588)4639271-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Quantitative Methode (DE-588)4232139-6 gnd Textanalyse (DE-588)4194196-2 gnd |
topic_facet | Social media Data processing Text processing (Computer science) Quantitative research Statistical methods Machine learning Content analysis (Communication) Data processing Social Media Maschinelles Lernen Quantitative Methode Textanalyse |
url | https://doi.org/10.1142/11476 |
volume_link | (DE-604)BV046821394 |
work_keys_str_mv | AT yuekun probabilisticapproachesforsocialmediaanalysisdatacommunityandinfluence AT lijin probabilisticapproachesforsocialmediaanalysisdatacommunityandinfluence AT wuhao probabilisticapproachesforsocialmediaanalysisdatacommunityandinfluence AT liuweiyi probabilisticapproachesforsocialmediaanalysisdatacommunityandinfluence AT yinzidu probabilisticapproachesforsocialmediaanalysisdatacommunityandinfluence |