Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Chetan Harichandra Mendhe"'
Publikováno v:
IEEE Transactions on Computational Social Systems. 8:260-269
Twitter has withstood the test of time as a successful social networking platform. In many circles globally, the majority of users choose Twitter when choosing a social media outlet for reliable scientific information and news. However, the Twitter a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c6279681d6d8740ca67f08251cff510
https://doi.org/10.1109/tcss.2020.2995497
https://doi.org/10.1109/tcss.2020.2995497
Autor:
Gautam Srivastava, Logan Praznik, Chetan Harichandra Mendhe, Vijay Mago, Mohiuddin Md Abdul Qudar
Publikováno v:
Lecture Notes in Social Networks ISBN: 9783030670436
Twitter is a prominent multilingual social networking site where users can post messages known as “tweets”. Twitter, like other social networking sites such as Facebook, allows users to categorize tweets by the use of “hashtags”. Communicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::115338e72af4b337711391e692d347ea
https://doi.org/10.1007/978-3-030-67044-3_11
https://doi.org/10.1007/978-3-030-67044-3_11
Autor:
Joseph Tassone, Mackenzie Simpson, Chetan Harichandra Mendhe, Vijay Mago, Salimur Choudhury, Peizhi Yan
Publikováno v:
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, Vol 20, Iss S11, Pp 1-15 (2020)
BMC Medical Informatics and Decision Making, Vol 20, Iss S11, Pp 1-15 (2020)
BackgroundThe collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the analysis of a collected set of Twitter data, a model will be developed for predictin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eb71b19d6d623905b2825db3ebb6e75
http://europepmc.org/articles/PMC7772918
http://europepmc.org/articles/PMC7772918
Publikováno v:
ASONAM
Communications on the popular social networking platform, Twitter, can be mapped in terms of a hashtag graph, where vertices correspond to hashtags, and edges correspond to co-occurrences of hashtags within the same distinct tweet. Furthermore, a ver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e13106e317100fea624203feb709bf7
https://doi.org/10.1145/3341161.3344828
https://doi.org/10.1145/3341161.3344828