In: Social Choice and Welfare, 2018, vol. 51, p. 681-716
Using a laboratory experiment with nested local and global public goods, we analyze the stability of global groups when individuals have the option to separate, according to the degree of decentralization of decision-making. We show that increasing the number of decisions made at the local level within a smaller group reduces the likelihood that individuals vote in favor of a configuration...
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In: Publizistik, 2015, vol. 60, no. 4, p. 381-402
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In: The European Physical Journal B, 2015, vol. 88, no. 11, p. 1-9
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In: Global Change Biology, 2021, vol. 27, no. 5, p. 1003-1016
For an efficient allocation of the limited resources to alien species management, the most damaging species should be prioritized. Comparing alien species based on their impacts is not straightforward, as the same species can cause different types and magnitudes of impacts when introduced to different contexts, making it difficult to summarize its overall impact. The Environmental Impact...
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In: Journal of Informetrics, 2020, vol. 14, no. 3, p. 101038
Evaluating scholars’ achievements is an important problem in the science of science with applications in the evaluation of grant proposals and promotion applications. Since the number of scholars and the number of scholarly outputs grow exponentially with time, well-designed ranking metrics that have the potential to assist in these tasks are of prime importance. To rank scholars, it is...
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In: Physica A: Statistical Mechanics and its Applications, 2020, vol. 540, p. 123140
Interacting with each other, individuals in a population form various social network topologies. Models of evolutionary games on networks provide insight into how the collective behaviors of structured populations are influenced by individual decision making and network topologies. In a hierarchical society, many social resources are allocated according to certain social rankings, such as...
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In: BIT Numerical Mathematics, 2014, vol. 54, no. 2, p. 447-468
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In: IEEE Transactions on Knowledge and Data Engineering, 2019, vol. 31, no. 3, p. 507–520
Personalized recommendation is crucial to help users find pertinent information. It often relies on a large collection of user data, in particular users' online activity (e.g., tagging/rating/checking-in) on social media, to mine user preference. However, releasing such user activity data makes users vulnerable to inference attacks, as private data (e.g., gender) can often be inferred from...
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In: International Journal of Electronic Commerce, 2019, vol. 23, no. 1, p. 85–109
The recent financial network analysis approach reveals that the topologies of financial markets have an important influence on market dynamics. However, the majority of existing Finance Big Data networks are built as undirected networks without information on the influence directions among prices. Rather than understanding the correlations, this research applies the Granger causality test to...
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In: Scientometrics, 2010, vol. 84, no. 2, p. 465-479
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