Matches in SemOpenAlex for { <https://semopenalex.org/work/W2892853481> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2892853481 endingPage "221" @default.
- W2892853481 startingPage "211" @default.
- W2892853481 abstract "In the last few years the micro-blogging platform Twitter has played a significant role in the communication of civil uprisings, political events or natural disasters. One of the reasons is the adoption of the hashtag, which represents a short word or phrase that follows the hash sign ( $$#$$ ). These semantic elements captured the topics behind the tweets and allowed the information flow to bypass traditional social network structure. The hashtags provide a way for users to embed metadata in their posts achieving several important communicative functions: they can indicate the specific semantic domain of the post, link the post to an existing topic, or provide a range of complex meanings in social media texts. In this paper, Generalized nets are applied as a tool to model the structural characteristics of a hashtag linguistic network through which possible communities of interests emerge, and to investigate the information propagation patterns resulting from the uncoordinated actions of users in the underlying semantic hashtag space. Generalized nets (GN) are extensions of the Petri nets by providing functional and topological aspects unavailable in Petri nets. The study of hashtag networks from a generalized nets perspective enables us to investigate in a deeper manner each element of the GN, substituting it with another, more detailed network in order to be examined in depth. The result is an improved understanding of topological connections of the data and the ability to dynamically add new details to expand the network and as a result discover underlying structural complexities unable to be discovered through traditional network analysis tool due to the prohibitive computational cost. Analysis is performed on a collection of Tweets and results are presented." @default.
- W2892853481 created "2018-10-05" @default.
- W2892853481 creator A5013306341 @default.
- W2892853481 creator A5064286820 @default.
- W2892853481 date "2018-09-28" @default.
- W2892853481 modified "2023-10-01" @default.
- W2892853481 title "Generalized Nets: A New Approach to Model a Hashtag Linguistic Network on Twitter" @default.
- W2892853481 cites W190660585 @default.
- W2892853481 cites W1963784284 @default.
- W2892853481 cites W1990798682 @default.
- W2892853481 cites W1994467642 @default.
- W2892853481 cites W1998002546 @default.
- W2892853481 cites W2000577124 @default.
- W2892853481 cites W2001653897 @default.
- W2892853481 cites W2002470750 @default.
- W2892853481 cites W2056076776 @default.
- W2892853481 cites W2131681506 @default.
- W2892853481 cites W2139575250 @default.
- W2892853481 cites W2145446394 @default.
- W2892853481 cites W2160943512 @default.
- W2892853481 cites W2774954645 @default.
- W2892853481 cites W4246222535 @default.
- W2892853481 cites W653429593 @default.
- W2892853481 doi "https://doi.org/10.1007/978-3-319-97277-0_17" @default.
- W2892853481 hasPublicationYear "2018" @default.
- W2892853481 type Work @default.
- W2892853481 sameAs 2892853481 @default.
- W2892853481 citedByCount "5" @default.
- W2892853481 countsByYear W28928534812019 @default.
- W2892853481 countsByYear W28928534812020 @default.
- W2892853481 countsByYear W28928534812021 @default.
- W2892853481 crossrefType "book-chapter" @default.
- W2892853481 hasAuthorship W2892853481A5013306341 @default.
- W2892853481 hasAuthorship W2892853481A5064286820 @default.
- W2892853481 hasConcept C120314980 @default.
- W2892853481 hasConcept C136764020 @default.
- W2892853481 hasConcept C154945302 @default.
- W2892853481 hasConcept C184337299 @default.
- W2892853481 hasConcept C199360897 @default.
- W2892853481 hasConcept C2776224158 @default.
- W2892853481 hasConcept C38652104 @default.
- W2892853481 hasConcept C38677869 @default.
- W2892853481 hasConcept C41008148 @default.
- W2892853481 hasConcept C4727928 @default.
- W2892853481 hasConcept C518677369 @default.
- W2892853481 hasConcept C93518851 @default.
- W2892853481 hasConcept C99138194 @default.
- W2892853481 hasConceptScore W2892853481C120314980 @default.
- W2892853481 hasConceptScore W2892853481C136764020 @default.
- W2892853481 hasConceptScore W2892853481C154945302 @default.
- W2892853481 hasConceptScore W2892853481C184337299 @default.
- W2892853481 hasConceptScore W2892853481C199360897 @default.
- W2892853481 hasConceptScore W2892853481C2776224158 @default.
- W2892853481 hasConceptScore W2892853481C38652104 @default.
- W2892853481 hasConceptScore W2892853481C38677869 @default.
- W2892853481 hasConceptScore W2892853481C41008148 @default.
- W2892853481 hasConceptScore W2892853481C4727928 @default.
- W2892853481 hasConceptScore W2892853481C518677369 @default.
- W2892853481 hasConceptScore W2892853481C93518851 @default.
- W2892853481 hasConceptScore W2892853481C99138194 @default.
- W2892853481 hasLocation W28928534811 @default.
- W2892853481 hasOpenAccess W2892853481 @default.
- W2892853481 hasPrimaryLocation W28928534811 @default.
- W2892853481 hasRelatedWork W1515308544 @default.
- W2892853481 hasRelatedWork W2062427795 @default.
- W2892853481 hasRelatedWork W2313595856 @default.
- W2892853481 hasRelatedWork W2324261804 @default.
- W2892853481 hasRelatedWork W2354642172 @default.
- W2892853481 hasRelatedWork W2360553097 @default.
- W2892853481 hasRelatedWork W2361349944 @default.
- W2892853481 hasRelatedWork W2365800529 @default.
- W2892853481 hasRelatedWork W2748952813 @default.
- W2892853481 hasRelatedWork W2775669459 @default.
- W2892853481 isParatext "false" @default.
- W2892853481 isRetracted "false" @default.
- W2892853481 magId "2892853481" @default.
- W2892853481 workType "book-chapter" @default.