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http://cimat.repositorioinstitucional.mx/jspui/handle/1008/1003| A MODEL OF USERS INTERACTION IN A SOCIAL NETWORK USING RANDOM GRAPHS | |
| JOSE GUILLERMO HERRERA RAMIREZ | |
| Acceso Abierto | |
| Atribución-NoComercial | |
| Twitter is an online social network, specifically, it is a micro-blogging composed of short messages on any topic. In these messages the users can interact with other users. Thus, due to the interaction of users is significantly in different areas such as marketing and politics. We try to model this behavior using random graphs. The objective of this work is to model the interaction of users in a social network through time. We are interested in describing things like: How many links are added at every step and how they appear at every step. If there are differences between the links from the current nodes and from the new nodes. Which is the distribution for in-degree and out-degree through time. What is the value of the biggest in-degree and out-degree. Even more, how is the network at the end of the process. In other words, we want to know how the network grows. We propose a model which is a variation to the Barabasi-Albert preferential model with the main differences that our consider 1) directed edges and 2) two types of preferential interactions are considered. | |
| 09-08-2018 | |
| Trabajo de grado, maestría | |
| OTRAS | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | Tesis del CIMAT |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| TE 725.pdf | 2.59 MB | Adobe PDF | Visualizar/Abrir |