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Communities discovered in the egonets of a random sample of kernel users were validated against rare words extracted from user tweets and were found to correspond to diverse real world topics.
Pages, posts, groups and other information extracted from user profile, usually have a name and a text that describe them.
As well as being able to extract information from social networks, it was possible to enrich educational interests extracted from user social network through the discovery of implicit interests.
We also desired to find out if using the profile and context features extracted from user's interaction on social networks, it is possible to recommend relevant educational resources.
The results of the third proof of concept, indicate that the second research question can be confirmed, as it was possible to generate relevant educational recommendations, using profile and context features extracted from user's interactions on social networks, and these recommendations could be presented through an application within the social network.
Moreover, U a cannot obtain M1 = h(x s || y s ) (i) from M3 = M1 ⊕ R c obtained by intercepting the login request of C i because of not having random number R c and (ii) from c i = h(x s || y s ) ⊕ f i extracted from user's smart card without knowing f i.
Similar(54)
A growing number of existing studies have explored the idea of 'collective attention' and related it to different quantities extracted from user-generated data.
This data is presumably being extracted from users' check-ins and Facebook posts.
This type of information is extremely useful to publishers, but it can be hard to extract from users — unless, of course, you're giving them some reward for opting-in to this kind of tracking.
We perform an analysis of 12 months worth of CourseRank data including user contributed information, such as ratings and comments, as well as information extracted from the user logs, and we analyze several aspects of user interactions and user-contributed content in the site, such as activity levels, user behavior and user content quality.
The design intention is extracted from the user manual while the way users interpret the design features is captured using direct observation, think aloud protocol and a structured questionnaire.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com