The next generation of psychological data collection: Social networks and mobile sensing

2014 ◽  
Author(s):  
Benjamin Sage Crosier ◽  
Gregory Webster
2015 ◽  
Vol 53 (10) ◽  
pp. 124-126
Author(s):  
Seshadri Mohan ◽  
Nitin Agarwal ◽  
Ashutosh Dutta ◽  
Sudhir Dixit ◽  
Ramjee Prasad

2018 ◽  
Vol 14 (02) ◽  
pp. 165 ◽  
Author(s):  
Cidália Costa Fonte ◽  
Diogo Fontes ◽  
Alberto Cardoso

Whenever disaster situations occur the civil protection authorities need to have fast access to data that may help to plan emergency response. To contribute to the collection and integration of all available data a platform that aims to harvest Volunteered Geographical Information (VGI) from social networks and collaborative projects was created. This enables the integration of VGI with data coming from other sources, such as data collected by physical sensors in real time and made available through Applications Programming Interface (APIs), as well as, for example, official maps. The architecture of the created platform is described and its first prototype presented. Some example queries are performed and the results are analyzed.


Author(s):  
A S Mukhin ◽  
I A Rytsarev ◽  
R A Paringer ◽  
A V Kupriyanov ◽  
D V Kirsh

The article is devoted to the definition of such groups in social networks. The object of the study was selected data social network Vk. Text data was collected, processed and analyzed. To solve the problem of obtaining the necessary information, research was conducted in the field of optimization of data collection of the social network Vk. A software tool that provides the collection and subsequent processing of the necessary data from the specified resources has been developed. The existing algorithms of text analysis, mainly of large volume, were investigated and applied.


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.


2019 ◽  
Vol 38 (2) ◽  
pp. 293-307
Author(s):  
Po-Yen Chen

Purpose This study attempts to use a new source of data collection from open government data sets to identify potential academic social networks (ASNs) and defines their collaboration patterns. The purpose of this paper is to propose a direction that may advance our current understanding on how or why ASNs are formed or motivated and influence their research collaboration. Design/methodology/approach This study first reviews the open data sets in Taiwan, which is ranked as the first state in Global Open Data Index published by Open Knowledge Foundation to select the data sets that expose the government’s R&D activities. Then, based on the theory review of research collaboration, potential ASNs in those data sets are identified and are further generalized as various collaboration patterns. A research collaboration framework is used to present these patterns. Findings Project-based social networks, learning-based social networks and institution-based social networks are identified and linked to various collaboration patterns. Their collaboration mechanisms, e.g., team composition, motivation, relationship, measurement, and benefit-cost, are also discussed and compared. Originality/value In traditional, ASNs have usually been known as co-authorship networks or co-inventorship networks due to the limitation of data collection. This study first identifies some ASNs that may be formed before co-authorship networks or co-inventorship networks are formally built-up, and may influence the outcomes of research collaborations. These information allow researchers to deeply dive into the structure of ASNs and resolve collaboration mechanisms.


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