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A proposal to deal with sampling bias in social network big data

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A proposal to deal with sampling bias in social network big data

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Iacus, SM.; Porro, G.; Salini, S.; Siletti, E. (2018). A proposal to deal with sampling bias in social network big data. En 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018). Editorial Universitat Politècnica de València. 29-37. https://doi.org/10.4995/CARMA2018.2018.8302

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/112038

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Title: A proposal to deal with sampling bias in social network big data
Author:
Issued date:
Abstract:
[EN] Selection bias is the bias introduced by the non random selection of data, it leads to question whether the sample obtained is representative of the target population. Generally there are different types of selection ...[+]
Subjects: Web data , Internet data , Big data , QCA , PLS , SEM , Conference , Well-being , Social indicators , Sentiment analysis , Self-selection bias , Small area estimation
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
ISBN: 9788490486894
Source:
2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018).
DOI: 10.4995/CARMA2018.2018.8302
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/CARMA/CARMA2018/paper/view/8302
Conference name: CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics
Conference place: Valencia, Spain
Conference date: Julio 12-13,2018
Type: Capítulo de libro Comunicación en congreso

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