Similar Search Results

Social Set Visualizer (SoSeVi): Design, development and evaluation of a visual analytics tool for computational set analysis of big social data

Flesch, Benjamin Johannes - 2019

This dissertation presents the design, development and evaluation of the Social Set Visualizer, an innovative Visual Analytics software tool, that expands upon a novel set-based approach to Big Social Data Analytics for large-scale datasets from social media platforms such as Facebook. Over the...

Persistent link: https://www.econbiz.de/10012255117

From big data to econophysics and its use to explain complex phenomena

Ferreira, Paulo; Pereira, Éder J. A. L.; Pereira, … - In: Journal of Risk and Financial Management 13 (2020) 7, pp. 1-10

and deals with complex systems. Different approaches such as power laws and complex networks are discussed, as possible …

Persistent link: https://www.econbiz.de/10012611382

Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain

Kamel, Donia; Pollacci, Laura - 2023

former offers and the rich data source the latter provides, enable the causal identification of the effect of networks on … the question of the importance of academic networks for migration post the fall of the Berlin Wall and Iron Curtain. Using … Microsoft Academic Knowledge Graph, a scholarly big data source, mapping of academics' networks is possible and information …

Persistent link: https://www.econbiz.de/10014290287

Exploring city social interaction ties in the big data era: Evidence based on location-based social media data from China

Wu, Wenjie; Wang, Jianghao - 2015

Location-based social media data is, increasingly, an important facilitator of exploring the movement of goods and people in and between countries across the globe. Typical examples include Twitter, Facebook, Foursquare. As with all social media data outputs, the fundamental value of...

Persistent link: https://www.econbiz.de/10011400525

Social media sentiment and consumer confidence

Daas, Piet J.H.; Puts, Marco J.H. - 2014

Changes in the sentiment of Dutch public social media messages were compared with changes in monthly consumer confidence over a period of three-and-a-half years, revealing that both were highly correlated (up to r = 0.9) and that both series cointegrated. This phenomenon is predominantly...

Persistent link: https://www.econbiz.de/10011606339

Quantifying the effects of online bullishness on international financial markets

Mao, Huina; Counts, Scott; Bollen, Johan - 2015

Computational methods to gauge investor sentiment from commonly used online data sources that rely on machine learning classifiers and lexicons have shown considerable promise, but suffer from measurement and classification errors. In our work, we develop a simple, direct and unambiguous...

Persistent link: https://www.econbiz.de/10011606343

Information needs of financial market professionals in the big data and social media era. The empirical evidence from Poland

Cwynar, Andrzej; Cwynar, Wiktor; Pater, Robert; … - In: e-Finanse: Financial Internet Quarterly 13 (2017) 4, pp. 1-13

To meet general objectives of the article, i.e. to check the extent to which the information needs of financial market institutions are satisfied, and to learn about whether there is a transition in this realm triggered by the advent of social media and big data, we surveyed a sample of 415...

Persistent link: https://www.econbiz.de/10012011819

Social-media analysis for disaster prevention: Forest fire in Artenara and Valleseco, Canary Islands

Zamarreño-Aramendia, Gorka; Cristòfol, F. J.; de … - In: Journal of Open Innovation: Technology, Market, and … 6 (2020) 4, pp. 1-18

This manuscript investigates the use of social media, specifically Twitter, during the forest fires in Artenara and Valleseco, Canary Islands, Spain, during summer 2019. The used methodology was big-data analysis through the Union Metrics and Twlets tools, as well as content analysis of posts...

Persistent link: https://www.econbiz.de/10012620478

Comparing methods to collect and geolocate tweets in Great Britain

Schlosser, Stephan; Toninelli, Daniele; Cameletti, Michela - In: Journal of Open Innovation: Technology, Market, and … 7 (2021) 1, pp. 1-20

In the era of Big Data, the Internet has become one of the main data sources: Data can be collected for relatively low costs and can be used for a wide range of purposes. To be able to timely support solid decisions in any field, it is essential to increase data production efficiency, data...

Persistent link: https://www.econbiz.de/10012620552

The impact of Digitalization on Business Models: How IT Artefacts, Social Media, and Big Data Force Firms to Innovate Their Business Model

Bouwman, Harry; de Reuver, Mark; Nikou, Shahrokh - 2017

Digital technology has forced entrepreneurs to reconsider their business models (BMs). Although research on entrepreneurial intention and business models is gaining attention, there is still a large knowledge gap on both fields. In this paper, we specifically address the impact of digitalization...

Persistent link: https://www.econbiz.de/10011720175

1
2
3
4
5
6
7
8
9
10
Next
Last