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Studying social networks in the age of computational social science
EPJ Data Science, 2023 Social and behavioral sciences now stand at a critical juncture. The emergence of Computational Social Science has significantly changed how social networks are studied.
Xinwei Xu
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Manifesto of computational social science [PDF]
The European Physical Journal Special Topics, 2012 The increasing integration of technology into our lives has created unprecedented volumes of data on society's everyday behaviour. Such data opens up exciting new opportunities to work towards a quantitative understanding of our complex social systems, within the realms of a new discipline known as Computational Social Science.
Conte, R. +14 more
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Less can be more: Pruning street networks for sustainable city-making
Transportation Research Interdisciplinary Perspectives, 2023 Current trends in urban planning aim at the reduction of space for private vehicles to promote alternative mobility, more diverse activities on streets and reduced pollution for healthier cities.
Javier Argota Sánchez-Vaquerizo +1 more
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A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences
Mathematics, 2022 The use of Artificial Intelligence (AI) and Big Data analysis algorithms is complementary to theory-driven analysis approaches and becoming more popular also in social sciences.
Tuba Bircan, Almila Alkim Akdag Salah
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Social Set Analysis: A Set Theoretical Approach to Big Data Analytics
IEEE Access, 2016 Current analytical approaches in computational social science can be characterized by four dominant paradigms: text analysis (information extraction and classification), social network analysis (graph theory), social complexity analysis (complex systems ...
Ravi Vatrapu +3 more
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Machine Learning of Concepts Hard Even for Humans: The Case of Online Depression Forums
International Journal of Qualitative Methods, 2020 Social scientists of mixed-methods research have traditionally used human annotators to classify texts according to some predefined knowledge. The “big data” revolution, the fast growth of digitized texts in recent years brings new opportunities but also
Renáta Németh +2 more
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VOLUNTAS - International Journal of Voluntary and Nonprofit Organizations, 2020 How can computational social science (CSS) methods be applied in nonprofit and philanthropic studies? This paper summarizes and explains a range of relevant CSS methods from a research design perspective and highlights key applications in our field.
Ji Ma +6 more
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Social Network Analysis and MiningThe advent of large language models (LLMs) has marked a new era in the transformation of computational social science (CSS). This paper dives into the role of LLMs in CSS, particularly exploring their potential to revolutionize data analysis and content ...
Surendrabikram Thapa +6 more
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Computational Social Science and the Study of Political Communication
Political Communication, 2020 The challenge of disentangling political communication processes and their effects has grown with the complexity of the new political information environment. But so have scientists’ toolsets and capacities to better study and understand them. We map the
Yannis Theocharis, Andreas Jungherr
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Mechanisms of parasite‐mediated disruption of brain vessels
FEBS Letters, EarlyView.Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira +3 more
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