Carregant...
Miniatura

Tipus de document

Treball de fi de grau

Data de publicació

Llicència de publicació

memòria: cc-nc-nd (c) Carles Pérez Onielfa, 2022
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/192142

Visualizing and ranking the influence of users who post memes in social networks

Títol de la revista

ISSN de la revista

Títol del volum

Recurs relacionat

Resum

[en] Memes evolve and mutate through their diffusion in social media. They have the potential to propagate ideas and, by extension, products. Many studies have focused on memes, but none so far, to our knowledge, on the users who post them, their relationships, and the reach of their influence. In this project, we define a meme influence graph together with suitable metrics to visualize and quantify influence between users who post memes. Then, we describe a process to implement our definitions using a new approach to meme detection based on text- to-image area ratio and contrast. After applying our method to a set of users of the Instagram platform, we conclude that our metrics add information to already existing user characteristics and that our methodology can also be used to study the popularity of memes types among the users.

Descripció

Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2022, Director: Sergio Escalera Guerrero i Carles Casacuberta

Citació

Citació

PÉREZ ONIELFA, Carles. Visualizing and ranking the influence of users who post memes in social networks. [consulta: 25 de febrer de 2026]. [Disponible a: https://hdl.handle.net/2445/192142]

Exportar metadades

JSON - METS

Compartir registre