Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313360936> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W4313360936 endingPage "12" @default.
- W4313360936 startingPage "12" @default.
- W4313360936 abstract "The explosive evolution of the internet has paved the path for the rise of social networks, which can help people connect remotely. Currently, social networks are commonly used for sharing thoughts, feelings, information, and personal life, which vary from individual to individual. The world has witnessed a tremendous increase in social media usage in the last decade, and more people are expected to spend their time online after the COVID-19 pandemic. This increases the rapid propagation of rumors and fake news within societies and communities. On one end, social networks act as an excellent platform for digital marketing and sharing information. However, on the other end, social network rumors and fake news create a significant impact on society, including riots. To study and analyze social network rumors, several mathematical rumor propagation epidemic models have been proposed. The majority are related to disease-spreading epidemic models and reject the human aspect of social selection. This paper introduces a new mathematical rumor propagation model for social networks by incorporating the human psychological aspect of selection as a separate state. Our mathematical analysis and computational simulation proved that the model exists within the system. It was also proven that the system is always non-negative and there always exists a solution in the system. Our implementation of an intervention mechanism within the discrete compartmental model simulation proved the necessity of an effective interference that can help to prevent the implications of uncontrolled rumor dissemination within social networks." @default.
- W4313360936 created "2023-01-06" @default.
- W4313360936 creator A5009331931 @default.
- W4313360936 creator A5021371371 @default.
- W4313360936 date "2022-12-29" @default.
- W4313360936 modified "2023-09-26" @default.
- W4313360936 title "SEDIS—A Rumor Propagation Model for Social Networks by Incorporating the Human Nature of Selection" @default.
- W4313360936 cites W1559272737 @default.
- W4313360936 cites W1967613408 @default.
- W4313360936 cites W2096210783 @default.
- W4313360936 cites W2098384830 @default.
- W4313360936 cites W2113797309 @default.
- W4313360936 cites W2124637492 @default.
- W4313360936 cites W2311685324 @default.
- W4313360936 cites W2586711041 @default.
- W4313360936 cites W2765279419 @default.
- W4313360936 cites W2765918871 @default.
- W4313360936 cites W2974339752 @default.
- W4313360936 cites W2981278245 @default.
- W4313360936 cites W2984470463 @default.
- W4313360936 cites W3003960510 @default.
- W4313360936 cites W3033765882 @default.
- W4313360936 cites W3048375490 @default.
- W4313360936 cites W3048864214 @default.
- W4313360936 cites W3049059630 @default.
- W4313360936 cites W3084561134 @default.
- W4313360936 cites W3087058967 @default.
- W4313360936 cites W3142722621 @default.
- W4313360936 cites W3172819099 @default.
- W4313360936 cites W3198264424 @default.
- W4313360936 cites W3206807698 @default.
- W4313360936 cites W4224273597 @default.
- W4313360936 doi "https://doi.org/10.3390/systems11010012" @default.
- W4313360936 hasPublicationYear "2022" @default.
- W4313360936 type Work @default.
- W4313360936 citedByCount "1" @default.
- W4313360936 countsByYear W43133609362023 @default.
- W4313360936 crossrefType "journal-article" @default.
- W4313360936 hasAuthorship W4313360936A5009331931 @default.
- W4313360936 hasAuthorship W4313360936A5021371371 @default.
- W4313360936 hasBestOaLocation W43133609361 @default.
- W4313360936 hasConcept C108827166 @default.
- W4313360936 hasConcept C110875604 @default.
- W4313360936 hasConcept C136764020 @default.
- W4313360936 hasConcept C154945302 @default.
- W4313360936 hasConcept C17744445 @default.
- W4313360936 hasConcept C2522767166 @default.
- W4313360936 hasConcept C2780469804 @default.
- W4313360936 hasConcept C38652104 @default.
- W4313360936 hasConcept C39549134 @default.
- W4313360936 hasConcept C41008148 @default.
- W4313360936 hasConcept C4727928 @default.
- W4313360936 hasConcept C518677369 @default.
- W4313360936 hasConcept C81917197 @default.
- W4313360936 hasConceptScore W4313360936C108827166 @default.
- W4313360936 hasConceptScore W4313360936C110875604 @default.
- W4313360936 hasConceptScore W4313360936C136764020 @default.
- W4313360936 hasConceptScore W4313360936C154945302 @default.
- W4313360936 hasConceptScore W4313360936C17744445 @default.
- W4313360936 hasConceptScore W4313360936C2522767166 @default.
- W4313360936 hasConceptScore W4313360936C2780469804 @default.
- W4313360936 hasConceptScore W4313360936C38652104 @default.
- W4313360936 hasConceptScore W4313360936C39549134 @default.
- W4313360936 hasConceptScore W4313360936C41008148 @default.
- W4313360936 hasConceptScore W4313360936C4727928 @default.
- W4313360936 hasConceptScore W4313360936C518677369 @default.
- W4313360936 hasConceptScore W4313360936C81917197 @default.
- W4313360936 hasIssue "1" @default.
- W4313360936 hasLocation W43133609361 @default.
- W4313360936 hasOpenAccess W4313360936 @default.
- W4313360936 hasPrimaryLocation W43133609361 @default.
- W4313360936 hasRelatedWork W1975594555 @default.
- W4313360936 hasRelatedWork W2014794499 @default.
- W4313360936 hasRelatedWork W2159981908 @default.
- W4313360936 hasRelatedWork W2464620361 @default.
- W4313360936 hasRelatedWork W2510804350 @default.
- W4313360936 hasRelatedWork W2748952813 @default.
- W4313360936 hasRelatedWork W2983880603 @default.
- W4313360936 hasRelatedWork W3162813828 @default.
- W4313360936 hasRelatedWork W4225148309 @default.
- W4313360936 hasRelatedWork W4311717257 @default.
- W4313360936 hasVolume "11" @default.
- W4313360936 isParatext "false" @default.
- W4313360936 isRetracted "false" @default.
- W4313360936 workType "article" @default.