Publication: Herramienta para visualizar la evolución de producción de conocimiento on-line en wikis
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2017
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Abstract
Las comunidades colaborativas forman cada vez una parte más importante de nuestra realidad. Bien sea a través de software libre (GitHub) o por plataformas de conocimiento compartido (Wikipedia, StackOverflow) lo cierto es que hoy en día parece inevitable nutrirse de los contenidos generados por estas comunidades. Sin embargo, el conocimiento que tenemos del funcionamiento organizacional interno todavía se encuentra en un estado poco avanzado. Existen multitud de estudios sobre Wikipedia, quizá el ejemplo más grande y de mayor impacto de estas comunidades. Sin embargo, no se debe caer en la tentación de extrapolar los hallazgos al resto de comunidades, menos populares y de contenido más específico. ¿Por qué algunas comunidades triunfan mientras otras se quedan en el olvido? ¿De qué depende el éxito de un proyecto colaborativo? ¿Cómo está relacionada la continuidad de los mismos con la actividad de sus usuarios? Éstas son sólo algunas de las preguntas que pueden surgir a la hora de analizar la evolución de distintas wikis.
Este proyecto pretende proporcionar una herramienta para el análisis un conjunto de comunidades tan grande como lo es Wikia (ahora conocida como FANDOM, se trata de una plataforma de wikis temáticas) que permita responder a algunas de las cuestiones planteadas y a cualquier otra que le pueda surgir al administrador de una comunidad. Además, también servirá para monitorizar el estado de la misma a lo largo del tiempo. El resultado final es una aplicación de escritorio que se ejecuta en modo de servidor local y se despliega en un navegador web. Esta aplicación, desarrollada en Python, permite visualizar los datos obtenidos de la exportación de la base de datos de una wiki (conocida como data-dump), para así poder observar tanto la evolución de la comunidad a lo largo del tiempo de una forma global, como el estado de la misma en un momento concreto del tiempo.
Collaborative communities are increasingly present in our daily life. Werther on open source software (GitHub) or in peer produced knowledge (Wikipedia, StackOverflow), it is inevitable to be a consumer of the contents generated by this communities. However, their organization is yet to be understood. There are many studies about perhaps the greatest and most influential of them all: Wikipedia. However, one should not be tempted to assume that the findings about Wikipedia can are applicable to other, more specific, communities. Why do some of them triumph while most of them are abandoned? What determines the success of such communities? How can user activity determine the survival of the community? These are some of the questions that arise when analyzing this phenomenon. This project intends to provide a tool for the analysis of a community such as those in Wikia (known as FANDOM nowadays) which could lead to answer some of the questions stated above as well as many others that may arise. Also, it will be especially useful to wiki administrators to monitor their ecosystem and analyze its evolution. The final result is a desktop app executed as a local server that deploys on a web browser. This application, developed in Python, allows the user to visualize the data obtained from a wiki database export, also known as data-dump, so that he or she can observe the global evolution of the community as well as its status at a certain point in time.
Collaborative communities are increasingly present in our daily life. Werther on open source software (GitHub) or in peer produced knowledge (Wikipedia, StackOverflow), it is inevitable to be a consumer of the contents generated by this communities. However, their organization is yet to be understood. There are many studies about perhaps the greatest and most influential of them all: Wikipedia. However, one should not be tempted to assume that the findings about Wikipedia can are applicable to other, more specific, communities. Why do some of them triumph while most of them are abandoned? What determines the success of such communities? How can user activity determine the survival of the community? These are some of the questions that arise when analyzing this phenomenon. This project intends to provide a tool for the analysis of a community such as those in Wikia (known as FANDOM nowadays) which could lead to answer some of the questions stated above as well as many others that may arise. Also, it will be especially useful to wiki administrators to monitor their ecosystem and analyze its evolution. The final result is a desktop app executed as a local server that deploys on a web browser. This application, developed in Python, allows the user to visualize the data obtained from a wiki database export, also known as data-dump, so that he or she can observe the global evolution of the community as well as its status at a certain point in time.
Description
Trabajo de Fin de Grado en Ingeniería Informática (Universidad Complutense, Facultad de Informática, curso 2016/2017)