Online Social Networks: Concepts for Data Collection and Analysis

Author(s):  
Bernie Hogan
2018 ◽  
Vol 25 (4) ◽  
pp. 185
Author(s):  
Mônica Wendhausen ◽  
Sônia Maria Martins de Melo ◽  
Rui Marques Vieira

A pesquisa fenomenológica numa investigação qualitativa é peculiar por trazer ao campo epistemológico a lógica da compreensão do fenômeno em si por meio de num exercício exaustivo de redução, na busca da essência do fenômeno no momento em que ele acontece. O desafio neste estudo ainda vai mais além: realizar as reduções por meio das primeiras recolhas e análises de dados de postagens realizadas em dois grupos criados no Facebook, de duas Turmas de escolares participantes de um Projeto Educativo intitulado Projeto Aprender a Conhecer: Pesquisar de Corpo Inteiro (PAC), que ocorre numa Escola Pública Brasileira, objeto desta investigação. Diante disso, este artigo apresenta um pequeno extrato de um doutoramento em curso. Os resultados apontaram que uma análise fenomenológica de documentos virtuais requer um olhar bastante criterioso, bem como a necessidade da utilização de um enxerto-hermenêutico, que no nosso ponto de vista, permitiu emergir as primeiras tendências da análise. Enfim, as asserções desvelaram a categoria participação como um dos elementos que poderá levar todos os envolvidos no projeto a aprender juntos, mas também, as contradições em relação ao entendimento e compreensão do tipo de participação dos estudantes no projeto, que ora parece tutelada/ restrita, ora parece plena/ativa. Tal tendência parece-nos essencial para a compreensão do PAC e sua influência na construção de num novo espaço/tempo de fazer escola.Palavras-chave: Pesquisa qualitativa. Método fenomenológico. Redes sociais. Projeto educativo. Recolha e análise de dados. DATA COLLECTION AND ANALYSIS IN A PHENOMENOLOGICAL PERSPECTIVE: registration of social networks as a documentary corpus in an investigation in educationAbstractA Phenomenological research in a qualitative investigation is peculiar to bring to the epistemological field the logic of the understanding of the phenomenon in itself through an exhaustive exercise of reduction, in search of the essence of the phenomenon at the moment in which it happens. The challenge in this study goes even further: to carry out the reductions through the first collection and analysis of data from postings made in two groups created on Facebook, from two classes of schoolchildren participating in the Educational Project “Learning to Know: research with Whole Body”, which occurs in a Brazilian Public School, object of this study. Therefore, this article presents a small extract of an ongoing PhD. The results point out that a phenomenological analysis of virtual documents requires a very critical observation as well as the need to use a hermeneutic-graft, which in our view allowed us to emerge the first trends of analysis. Finally, the assertions revealed the participation category as one of the elements that could lead all involved in the project to learn together, but also, the contradictions regarding the understanding and comprehension of the type of students' participation in the project, which sometimes seems to be supervised / restricted , sometimes seems full / active. Such a trend seems to us essential for the understanding of the PAC and its influence on the construction of a new space / time to do school.          Keywords: Qualitative Research. Phenomenological Method. Social Networks. Educational Project. Data Collection And Analysis. RECOGIDA Y ANÁLISIS DE DATOS DESDE UNA PERSPECTIVA FENOMENOLÓGICA: registros de las redes sociales como corpus documental en una investigación en educaciónResumenLa investigación fenomenológica en una investigación cualitativa es peculiar por traer al campo epistemológico la lógica de la comprensión del fenómeno en sí, por medio de un ejercicio exhaustivo de reducción, en la búsqueda de la esencia del fenómeno en el momento en que sucede. El desafío en este estudio va aún más allá: realizar las reducciones por medio de las primeras recogidas y análisis de datos de publicaciones realizadas en dos grupos creados en Facebook, de dos clases de escolares participantes en un proyecto educativo titulado: “Proyecto Aprender a Conocer: Investigar de Cuerpo Entero (PAC)”, que se desarrolla en una Escuela Pública Brasileña, objeto de esta investigación. Por lo que este artículo presenta un pequeño extracto de un doctorado en curso. Los resultados apuntan a que un análisis fenomenológico de documentos virtuales requiere una mirada bastante cuidadosa, así como, se refiere la necesidad de la utilización de un injerto-hermenéutico, que desde nuestro punto de vista, permitió emerger las primeras tendencias del análisis. Finalmente, los hallazgos revelaron la categoría participación como uno de los elementos que podría llevar a todos los involucrados en el proyecto, a aprender juntos, pero también, se desvelaron las contradicciones en relación al entendimiento y a la comprensión del tipo de participación de los estudiantes en el proyecto, que ahora parece estar supervisada / restringida, y completa / activa. Dicha tendencia nos parece esencial para la comprensión del PAC y su influencia en la construcción de un nuevo espacio / tiempo para hacer escuela.Palabras clave: Investigación cualitativa. Método fenomenológico. Redes sociales. Proyecto Educativo. Recogida y análisis de datos.


Author(s):  
David Knoke

This chapter explains how international terror networks, consisting of individuals and organizations spanning countries and continents, form and evolve. It describes tools and methods used by social network analysts to study such networks; their applications by counterterrorist organizations; their limitations and problems in data collection and analysis; and directions for future research. It also discusses a few recent case studies by prominent researchers.


Author(s):  
Theodoros Tzouramanis ◽  
Alexandros Kefallonitis ◽  
Georgios Papageorgiou

Author(s):  
Alan Mislove ◽  
Christo Wilson

The Web today offers a tremendous number of sites and services that can provide useful data for researchers. Websites ranging from online social networks (e.g., Facebook, Twitter), to online marketplaces (e.g., eBay, Craigslist), to recommendation services (e.g., Yelp, TripAdvisor) can be used to examine human behavior at scale. However, collecting data from these services brings up a host of technical, legal, and ethical issues for researchers, and many research communities are still grappling with the challenges that obtaining data from these services presents. This chapter provides an overview of many such issues, aiming to provide practitioners with specific examples of how various services can be accessed and how different communities have dealt with the ethical and legal challenges that they present.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Wenxian Wang ◽  
Xingshu Chen ◽  
Shuyu Jiang ◽  
Haizhou Wang ◽  
Mingyong Yin ◽  
...  

AbstractNowadays, millions of people use Online Social Networks (OSNs) like Twitter, Facebook and Sina Microblog, to express opinions on current events. The widespread use of these OSNs has also led to the emergence of social bots. What is more, the existence of social bots is so powerful that some of them can turn into influential users. In this paper, we studied the automated construction technology and infiltration strategies of social bots in Sina Microblog, aiming at building friendly and influential social bots to resist malicious interpretations. Firstly, we studied the critical technology of Sina Microblog data collection, which indicates that the defense mechanism of that is vulnerable. Then, we constructed 96 social bots in Sina Microblog and researched the influence of different infiltration strategies, like different attribute settings and various types of interactions. Finally, our social bots gained 5546 followers in the 42-day infiltration period with a 100% survival rate. The results show that the infiltration strategies we proposed are effective and can help social bots escape detection of Sina Microblog defense mechanism as well. The study in this paper sounds an alarm for Sina Microblog defense mechanism and provides a valuable reference for social bots detection.


Author(s):  
Theodoros Tzouramanis ◽  
Alexandros Kefallonitis ◽  
Georgios Papageorgiou

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