Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The purpose of this study is to investigate how content-related, context-related, and user-related variables can influence the answerability and popularity of a health-related post based on the user-dynamic social network and topic-dynamic semantic network, respectively.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This data set comes from the MetaFilter website. The question ID data of the askme section is obtained through the official dump data. After selecting a specific category, the corresponding other data is obtained using the ID, including the question title, description, questioner, tags, and all comments. , for the answerer, answer text, etc., while using the user information of all questioners and answerers, and also obtained user-related data from the dump data, including the number of comments, the number of likes, the number of followers, the number of followers, Date joined, number of questions asked, number of questions answered, etc.
https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company METAFILTER-NETWORK-INC..
https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
Explore the historical Whois records related to metafilter.com (Domain). Get insights into ownership history and changes over time.
https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company MetaFilter-Network-LLC.
https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
Explore historical ownership and registration records by performing a reverse Whois lookup for the email address matt@metafilter.com..
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The purpose of this study is to investigate how content-related, context-related, and user-related variables can influence the answerability and popularity of a health-related post based on the user-dynamic social network and topic-dynamic semantic network, respectively.