Hastags spreading analysis on social networks: a method for aproaching how new concepts spread in social networks.

This proposal consists in making and aproximatión and analyze the propagatioon of new terms in social networks, focused on twitter. The paradigm of symbolic interactionism conceives of communication as a production of meaning within a symbolic universe, so the use of the words are as well. New words appear and words disappear in the communication as long as they help us to refer something that we want to express, so they are spread when they get importance in the society. That's why new words are key for studying the society as they express new phenomenons. Approaching the way they spread would be an interesting tool for understanding better these new phenomenons and the importance they have in society. With this goal during this work it is tried to approach this way of spreading by means of its analysis in social networks. Social networks are not a representation of actual life socialization. Nowadays it represents a new way of socialization with it owns behavior; but fully interdependent with real life and sharing a lot of dynamics with it. Knowing this, studying the spread of new terms in twitter will helps us to know the expression of new social realities that take importance in our realities and the way they are expressed, and by this way we can also approach this new social realities in the hole social life. Twitter as the predilect social network for network analysis, and more when talking about text, is chosen for this investigation. As the study of just appeared words would be hard as its difficult to find these words that have to be completely new, hastags are ideal for this analysis, as they are also used for expressing social realities that get importance in the community. By different data science tools as network analysis, twitter api, web scrapping… in this project it is tried to build a method for analyzing this spreading of terms on twitter. This will be based on the capture of tweets with new hastags, the building of friendship networks in between the authors of these tweets and the visualization of the spreading in this networks. By means of this method it will be possible to analyze this spreading for different new words or hastags using different indicators and visualizations that will allow us to approach the different ways of spreading of the new concepts in twitter.