Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML
<p dir="ltr">The main aim in this paper is to create a friend suggestion algorithm that can be used to recommend new friends to a user on Twitter when their existing friends and other details are given. The information gathered to make these predictions includes the user’s friends, t...
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| مؤلفون آخرون: | , , , , , , |
| منشور في: |
2022
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| الموضوعات: | |
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| _version_ | 1864513506160672768 |
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| author | Dharmendra Kumar Singh Singh (19517710) |
| author2 | Nithya N. (19517713) Rahunathan L. (19517716) Preyal Sanghavi (19517719) Ravirajsinh Sajubha Vaghela (19517722) Poongodi Manoharan (17727687) Mounir Hamdi (14150652) Godwin Brown Tunze (18300823) |
| author2_role | author author author author author author author |
| author_facet | Dharmendra Kumar Singh Singh (19517710) Nithya N. (19517713) Rahunathan L. (19517716) Preyal Sanghavi (19517719) Ravirajsinh Sajubha Vaghela (19517722) Poongodi Manoharan (17727687) Mounir Hamdi (14150652) Godwin Brown Tunze (18300823) |
| author_role | author |
| dc.creator.none.fl_str_mv | Dharmendra Kumar Singh Singh (19517710) Nithya N. (19517713) Rahunathan L. (19517716) Preyal Sanghavi (19517719) Ravirajsinh Sajubha Vaghela (19517722) Poongodi Manoharan (17727687) Mounir Hamdi (14150652) Godwin Brown Tunze (18300823) |
| dc.date.none.fl_str_mv | 2022-09-01T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.4018/ijitwe.304050 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Social_Network_Analysis_for_Precise_Friend_Suggestion_for_Twitter_by_Associating_Multiple_Networks_Using_ML/26889448 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Human-centred computing Machine learning Friend Suggestion Tags Tweet Analysis |
| dc.title.none.fl_str_mv | Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The main aim in this paper is to create a friend suggestion algorithm that can be used to recommend new friends to a user on Twitter when their existing friends and other details are given. The information gathered to make these predictions includes the user’s friends, tags, tweets, language spoken, ID, etc. Based on these features, the authors trained their models using supervised learning methods. The machine learning-based approach used for this purpose is the k-nearest neighbor approach. This approach is by and large used to decrease the dimensionality of the information alongside its feature space. K-nearest neighbor classifier is normally utilized in arrangement-based situations to recognize and distinguish between a few parameters. By using this, the features of the central user’s non-friends were compared. The friends and communities of a user are likely to be very different from any other user. Due to this, the authors select a single user and compare the results obtained for that user to suggest friends.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Information Technology and Web Engineering<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.4018/ijitwe.304050" target="_blank">https://dx.doi.org/10.4018/ijitwe.304050</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_2a0213b7bf6faa2dc0e876a6cb947cf7 |
| identifier_str_mv | 10.4018/ijitwe.304050 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26889448 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using MLDharmendra Kumar Singh Singh (19517710)Nithya N. (19517713)Rahunathan L. (19517716)Preyal Sanghavi (19517719)Ravirajsinh Sajubha Vaghela (19517722)Poongodi Manoharan (17727687)Mounir Hamdi (14150652)Godwin Brown Tunze (18300823)Information and computing sciencesHuman-centred computingMachine learningFriend SuggestionTagsTweet AnalysisTwitter<p dir="ltr">The main aim in this paper is to create a friend suggestion algorithm that can be used to recommend new friends to a user on Twitter when their existing friends and other details are given. The information gathered to make these predictions includes the user’s friends, tags, tweets, language spoken, ID, etc. Based on these features, the authors trained their models using supervised learning methods. The machine learning-based approach used for this purpose is the k-nearest neighbor approach. This approach is by and large used to decrease the dimensionality of the information alongside its feature space. K-nearest neighbor classifier is normally utilized in arrangement-based situations to recognize and distinguish between a few parameters. By using this, the features of the central user’s non-friends were compared. The friends and communities of a user are likely to be very different from any other user. Due to this, the authors select a single user and compare the results obtained for that user to suggest friends.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Information Technology and Web Engineering<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.4018/ijitwe.304050" target="_blank">https://dx.doi.org/10.4018/ijitwe.304050</a></p>2022-09-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.4018/ijitwe.304050https://figshare.com/articles/journal_contribution/Social_Network_Analysis_for_Precise_Friend_Suggestion_for_Twitter_by_Associating_Multiple_Networks_Using_ML/26889448CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/268894482022-09-01T00:00:00Z |
| spellingShingle | Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML Dharmendra Kumar Singh Singh (19517710) Information and computing sciences Human-centred computing Machine learning Friend Suggestion Tags Tweet Analysis |
| status_str | publishedVersion |
| title | Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML |
| title_full | Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML |
| title_fullStr | Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML |
| title_full_unstemmed | Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML |
| title_short | Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML |
| title_sort | Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML |
| topic | Information and computing sciences Human-centred computing Machine learning Friend Suggestion Tags Tweet Analysis |