Measure social metrics with Sodatech: a monitoring and analysis platform of Big Data

Yingmin Li () and Christine Balagué ()
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Yingmin Li: IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - EESC-GEM Grenoble Ecole de Management - UEVE - Université d'Évry-Val-d'Essonne - TEM - Télécom Ecole de Management
Christine Balagué: IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - EESC-GEM Grenoble Ecole de Management - UEVE - Université d'Évry-Val-d'Essonne - TEM - Télécom Ecole de Management

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Abstract: Social Network Services (SNS) nowadays require marketing research study using Big Data tools. In this paper we present Sodatech platform: a monitoring and analysis tool of big data to help researchers and SNS community managers to measure effectiveness of social media marketing activities. Sodatech platform provides three functions: collect massive data from social network; analyze marketing metrics with big data tools; display intuitive data in a dynamic and interactive interface.

Date: 2015-05-26
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Published in ICWSM 2015 : The 9th International Conference on Web and Social Media, May 2015, Oxford, United Kingdom. pp.713-714

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01273643

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