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Inverse Dynamical Inheritance in Stack Exchange Taxonomies

Authors

César Ojeda,Kostadin Cvejoski,Rafet Sifa,Christian Bauckhage

Fraunhofer Institute for Intelligent Analysis and Information Systems,Fraunhofer Institute for Intelligent Analysis and Information Systems,Fraunhofer Institute for Intelligent Analysis and Information Systems,Fraunhofer Institute for Intelligent Analysis and Information Systems


Proceedings:

Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media

Volume

Issue:

Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media

Track:

Poster Papers

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Abstract:

Question Answering websites are popular repositories of expert knowledge and cover areas as diverse as linguistics, computer science, or mathematics. Knowledge is commonly organized via user defined tags which implicitly create population folksonomies. However, the interplay between latent knowledge structures and the answering behavior of users has not been fully explored yet. Here, we propose a model of a dynamical tagging process guided by taxonomies, devise a robust algorithm that allow us to uncover hidden topic hierarchies, apply our method to analyze several Stack Exchange websites. Our results show that the dynamics of the system strongly correlate with uncovered taxonomies.

DOI:

10.1609/icwsm.v11i1.14932


ICWSM

Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media