Sociology
22 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Sociology
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BIG-bench
Most implemented papers
A Distributed Hybrid Community Detection Methodology for Social Networks
Nowadays, the amount of digitally available information has tremendously grown, with real-world data graphs outreaching the millions or even billions of vertices.
Toward Gender-Inclusive Coreference Resolution
Correctly resolving textual mentions of people fundamentally entails making inferences about those people.
Identifying the latent space geometry of network models through analysis of curvature
A common approach to modeling networks assigns each node to a position on a low-dimensional manifold where distance is inversely proportional to connection likelihood.
Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics
Shared practices to assess the diversity of retrieval system results are still debated in the Information Retrieval community, partly because of the challenges of determining what diversity means in specific scenarios, and of understanding how diversity is perceived by end-users.
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks
mayaokawa/opinion_dynamics
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Traditionally, theoretical models of opinion dynamics have been proposed to describe the interactions between individuals (i. e., social interaction) and their impact on the evolution of collective opinions.
AI-Assisted Discovery of Quantitative and Formal Models in Social Science
druidowm/occamnet_socialsci
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In social science, formal and quantitative models, such as ones describing economic growth and collective action, are used to formulate mechanistic explanations, provide predictions, and uncover questions about observed phenomena.
Practical and scalable simulations of non-Markovian stochastic processes
While analytic solutions often cannot be derived, existing simulation frameworks can generate stochastic trajectories compatible with the dynamical laws underlying the random phenomena.
Dramatic Conversation Disentanglement
kentchang/dramatic-conversation-disentanglement
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We present a new dataset for studying conversation disentanglement in movies and TV series.
Adversaries with Limited Information in the Friedkin--Johnsen Model
To address this concern, we raise the following question: Can an attacker sow discord in a social network, even when only the network topology is known?
Decoding the Workplace & EOR: An Employee Survey Analysis by Data Science Techniques and Visualization
This research study explores the new dynamics of employee-organi-zation relationships (EOR) [6] using advanced data science methodologies and presents findings through accessible visualizations.
