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DDDAS in the Social Sciences
The work presented in this chapter is driven by an enduring social science Grand Challenge: How can the field of social sciences improve its... -
COVID research across the social sciences in 2020: a bibliometric approach
Research on the COVID-19 pandemic has produced an incredible volume of social science research. To explore the initial areas of COVID-19 scholarship,...
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Studying social networks in the age of computational social science
Social and behavioral sciences now stand at a critical juncture. The emergence of Computational Social Science has significantly changed how social...
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Evolution of gender research in the social sciences in post-Soviet countries: a bibliometric analysis
While interest in map** the patterns of publication and research in post-Soviet countries has been growing steadily, there is a gap in knowledge...
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Behavioral Analysis
Behavioral analysis studies behavior patterns to understand why humans act a certain way. It involves collecting and processing behavioral data, such... -
The application of exponential random graph models to collaboration networks in biomedical and health sciences: a review
Collaboration has become crucial in solving scientific problems in biomedical and health sciences. There is a growing interest in applying social...
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Are the strategic research agendas of researchers in the social sciences determinants of research productivity?
This study analyzes the association between the strategic research agendas of researchers in the social sciences and their research performance....
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Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions
Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the different experiences or characteristics of...
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Automated Text Psychodiagnostics and the Problem of Monitoring Social Networks
AbstractThe article presents a review of the results of the automated text psychodiagnostics obtained using the intellectual text analysis tool...
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Identifying temporal changes in student engagement in social annotation during online collaborative reading
Social annotation plays a crucial role in nurturing and sustaining a collaborative reading community, offering the potential to enhance students’...
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Design principles for social exchange in social virtual reality-enabled virtual teams
Social virtual reality (SVR) is a novel technology that can simulate and potentially enhance our face-to-face interactions. However, our...
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Mediating role of academic help-seeking among students’ social networking self-efficacy and social presence in online environments
In the digital era, there has been a growing focus on seeking online academic help-seeking as an effective factor for success in the virtual learning...
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The dynamics of Q&A in academic social networking sites: insights from participants, interaction network, response time, and discipline differences
A growing number of scholars are using academic social networking sites (ASNSs) for informal academic exchange online. ASNSs have developed question...
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Social media sensors as early signals of influenza outbreaks at scale
Detecting early signals of an outbreak in a viral process is challenging due to its exponential nature, yet crucial given the benefits to public...
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Computational social science with confidence
There is an ongoing shift in computational social science towards validating our methodologies and improving the reliability of our findings. This is...
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Much more than a prediction: Expert-based software effort estimation as a behavioral act
Traditionally, Software Effort Estimation (SEE) has been portrayed as a technical prediction task, for which we seek accuracy through improved...
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Hybrid Spaces, Hybrid Methodologies: Finding Ways of Working with Social Sciences and Humanities in Human-Computer Interaction
Starting from the need for responsible research and innovation in computing, this paper addresses the challenges that come from working with the... -
The rise of user profiling in social media: review, challenges and future direction
Social media have become very popular as the number of users, organizations and research associated continue to increase rapidly. As such, user...
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How Accurate are GPT-3’s Hypotheses About Social Science Phenomena?
We test whether GPT-3 can accurately predict simple study outcomes in the social sciences. Ground truth outcomes were obtained by surveying 600 adult...
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Supporting Social Science and Management Areas
This chapter of the SCS M&S Body of Knowledge addresses two topics, namely, using causal modeling and simulation to enhance aspects of social science...