TDA Mapping of All Distilled Embeddings, Colored by Percent Narcissistic Personality Disorder Embeddings.
<p>Yellow = No Narcissistic Personality Disorder Embeddings, Red = Entirely Comprised of Narcissistic Personality Disorder Embeddings.</p>
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2025
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| _version_ | 1852018121965043712 |
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| author | Andrew William Alexander (21807525) |
| author2 | Hongbin Wang (281658) |
| author2_role | author |
| author_facet | Andrew William Alexander (21807525) Hongbin Wang (281658) |
| author_role | author |
| dc.creator.none.fl_str_mv | Andrew William Alexander (21807525) Hongbin Wang (281658) |
| dc.date.none.fl_str_mv | 2025-07-29T17:25:42Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pdig.0000935.g007 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/TDA_Mapping_of_All_Distilled_Embeddings_Colored_by_Percent_Narcissistic_Personality_Disorder_Embeddings_/29667219 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Neuroscience Sociology Mental Health Virology Biological Sciences not elsewhere classified topological data mapping overall psychological wellbeing one difficulty lies large language models certain personality traits various psychiatric disorders increasing social violence propagate hate speech posting hate speech underlying hidden links topological data analysis learning classifications based general mental health carefully selected communities performed various machine online hate speech posters remain elusive identify potential similarities misinformation speech patterns social media posts hate speech various communities social media machine learning misinformation online hidden semantics general relationship analysis possible xlink "> united states presumably represent numbered vectors massive amount increased concern dimensional real collected thousands chatgpt make adequately analyzing |
| dc.title.none.fl_str_mv | TDA Mapping of All Distilled Embeddings, Colored by Percent Narcissistic Personality Disorder Embeddings. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Yellow = No Narcissistic Personality Disorder Embeddings, Red = Entirely Comprised of Narcissistic Personality Disorder Embeddings.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_7e846bfebf74187ac8ea7e87a8f29d2d |
| identifier_str_mv | 10.1371/journal.pdig.0000935.g007 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29667219 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | TDA Mapping of All Distilled Embeddings, Colored by Percent Narcissistic Personality Disorder Embeddings.Andrew William Alexander (21807525)Hongbin Wang (281658)MedicineNeuroscienceSociologyMental HealthVirologyBiological Sciences not elsewhere classifiedtopological data mappingoverall psychological wellbeingone difficulty lieslarge language modelscertain personality traitsvarious psychiatric disordersincreasing social violencepropagate hate speechposting hate speechunderlying hidden linkstopological data analysislearning classifications basedgeneral mental healthcarefully selected communitiesperformed various machineonline hate speechposters remain elusiveidentify potential similaritiesmisinformation speech patternssocial media postshate speechvarious communitiessocial mediamachine learningmisinformation onlinehidden semanticsgeneral relationshipanalysis possiblexlink ">united statespresumably representnumbered vectorsmassive amountincreased concerndimensional realcollected thousandschatgpt makeadequately analyzing<p>Yellow = No Narcissistic Personality Disorder Embeddings, Red = Entirely Comprised of Narcissistic Personality Disorder Embeddings.</p>2025-07-29T17:25:42ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pdig.0000935.g007https://figshare.com/articles/figure/TDA_Mapping_of_All_Distilled_Embeddings_Colored_by_Percent_Narcissistic_Personality_Disorder_Embeddings_/29667219CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/296672192025-07-29T17:25:42Z |
| spellingShingle | TDA Mapping of All Distilled Embeddings, Colored by Percent Narcissistic Personality Disorder Embeddings. Andrew William Alexander (21807525) Medicine Neuroscience Sociology Mental Health Virology Biological Sciences not elsewhere classified topological data mapping overall psychological wellbeing one difficulty lies large language models certain personality traits various psychiatric disorders increasing social violence propagate hate speech posting hate speech underlying hidden links topological data analysis learning classifications based general mental health carefully selected communities performed various machine online hate speech posters remain elusive identify potential similarities misinformation speech patterns social media posts hate speech various communities social media machine learning misinformation online hidden semantics general relationship analysis possible xlink "> united states presumably represent numbered vectors massive amount increased concern dimensional real collected thousands chatgpt make adequately analyzing |
| status_str | publishedVersion |
| title | TDA Mapping of All Distilled Embeddings, Colored by Percent Narcissistic Personality Disorder Embeddings. |
| title_full | TDA Mapping of All Distilled Embeddings, Colored by Percent Narcissistic Personality Disorder Embeddings. |
| title_fullStr | TDA Mapping of All Distilled Embeddings, Colored by Percent Narcissistic Personality Disorder Embeddings. |
| title_full_unstemmed | TDA Mapping of All Distilled Embeddings, Colored by Percent Narcissistic Personality Disorder Embeddings. |
| title_short | TDA Mapping of All Distilled Embeddings, Colored by Percent Narcissistic Personality Disorder Embeddings. |
| title_sort | TDA Mapping of All Distilled Embeddings, Colored by Percent Narcissistic Personality Disorder Embeddings. |
| topic | Medicine Neuroscience Sociology Mental Health Virology Biological Sciences not elsewhere classified topological data mapping overall psychological wellbeing one difficulty lies large language models certain personality traits various psychiatric disorders increasing social violence propagate hate speech posting hate speech underlying hidden links topological data analysis learning classifications based general mental health carefully selected communities performed various machine online hate speech posters remain elusive identify potential similarities misinformation speech patterns social media posts hate speech various communities social media machine learning misinformation online hidden semantics general relationship analysis possible xlink "> united states presumably represent numbered vectors massive amount increased concern dimensional real collected thousands chatgpt make adequately analyzing |