Towards the cloudification of the social networks analytics

Daniel Cea, Jordi Nin, Rubén Tous, Jordi Torres, Eduard Ayguadé

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

13 Cites (Scopus)

Resum

In the last years, with the increase of the available data from social networks and the rise of big data technologies, social data has emerged as one of the most profitable market for companies to increase their benefits. Besides, social computation scientists see such data as a vast ocean of information to study modern human societies. Nowadays, enterprises and researchers are developing their own mining tools in house, or they are outsourcing their social media mining needs to specialised companies with its consequent economical cost. In this paper, we present the first cloud computing service to facilitate the deployment of social media analytics applications to allow data practitioners to use social mining tools as a service. The main advantage of this service is the possibility to run different queries at the same time and combine their results in real time. Additionally, we also introduce twearch, a prototype to develop twitter mining algorithms as services in the cloud.

Idioma originalAnglès
Títol de la publicacióModeling Decisions forArtificial Intelligence - 11th International Conference, MDAI 2014, Proceedings
EditorsVicenç Torra, Yasuo Narukawa, Yasunori Endo
EditorSpringer Verlag
Pàgines192-203
Nombre de pàgines12
ISBN (electrònic)9783319120539
DOIs
Estat de la publicacióPublicada - 2014
Publicat externament
Esdeveniment11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014 - Tokyo , Japan
Durada: 29 d’oct. 201431 d’oct. 2014

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum8825
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349

Conferència

Conferència11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014
País/TerritoriJapan
CiutatTokyo
Període29/10/1431/10/14

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