2024-03-19T09:21:01Zhttps://www.tdx.cat/oai/requestoai:www.tdx.cat:10803/2879742024-03-15T10:58:03Zcom_10803_236col_10803_690279
nam a 5i 4500
User behavior
Recommendations
Social media
Cultural models
Culture
Hofstede
Levine
Cultural dimensions
Gravity model
Twitter
Imagined audiences
Cultural differences
Social network
Twitter conventions
Comportamiento del usuario
Recomendaciones
Medios de comunicación social
Modelos culturales
Cultura
Dimensiones culturales de Hofstede
Modelo de gravedad
Audiencias imaginarias
Diferencias culturales
Red social
Convenciones de Twitter
User behavior in microblogs with a cultural emphasis
[Barcelona] :
Universitat Pompeu Fabra,
2015
Accés lliure
http://hdl.handle.net/10803/287974
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García-Gavilanes, Ruth Olimpia,
autor
Programa de doctorat en Tecnologies de la Informació i les Comunicacions,
degree
1 recurs en línia (160 pàgines)
Tesi
Doctorat
Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions
2015
Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions
Tesis i dissertacions electròniques
Baeza-Yates, Ricardo,
supervisor acadèmic
TDX
The main objective of this thesis is to carry out a multidisciplinary study of the behavior of microblog users. To that end we first explore several user behavior patterns employing data mining techniques. Then we use social science theories of culture and socio-economic indicators to better understand differences and similarities of user behavior across countries.
We found several insights on user behavior such as (i) social link recommendations made by current friends have a large effect on link formation and the accepted recommendations have more longevity than other links; (ii) as users mature, they evolve to adopt microblogs as a news media rather than a social network; (iii) the collective behavior of users from some countries standout, based on certain special characteristics such as conversations, reciprocity, etc.; (iv) national culture determines the temporal patterns with which users post, or the extent to which they mention, follow, recommend and befriend others; and (v) socio-economic and cultural features improve the prediction of communication strength among users from different countries.
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