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Social Network monitoring

Authors: Colom Montoya, Joan;

Social Network monitoring

Abstract

Aquest Treball Final de Grau implementa una eina per monitoritzar els comentaris i mencions que es fan sobre les fotografies que publiquem en la compte d'Instagram. Durant el procés de monitorització s'obtenen diverses dades i metadades associades als recursos monitoritzats (comentaris i mencions). Per tal d'obtindre major suport i fiabilitat, hem fet ús de l'API oficial d'Instagram (Facebook), la Graph API. Aquesta API està en constant evolució i va incorporant noves funcionalitats. L'arquitectura del sistema implementat permetrà que aquestes es puguin incorporar de manera fàcil, així com poder modificar les dades i metadades que s'obtenen durant el procés de monitorització. Així doncs, el nostre sistema és fàcil de mantenir i ampliar.

Monitoring consists on continuously checking the status of a system due to ensure the reliability, security or, simply, giving information to the user. This is a process that requires many resources, both software and hardware. Depending on the information received by the system user, the user may decide one or another course of action. Assuming the fact of monitoring various social networks, how could an efficient software architecture be used and allow these social networks monitoring? Based on this premise, this TFG tries to give a response to this fact.

Country
Spain
Keywords

mencions, simulator, simulate, keyword, Social networks, dades, Xarxes socials, simulador, metadades, :Informàtica [Àrees temàtiques de la UPC], simular, monitorització, Metadades, Metadata, filter, publicacions, metadata, posts, comentaris, paraula clau, monitoritzar, filtrar, post, monitor, data, comments, Instagram, Àrees temàtiques de la UPC::Informàtica, publicació, mentions

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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