FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385486570> ?p ?o ?g. }

• W4385486570 endingPage "148" @default.
• W4385486570 startingPage "129" @default.
• W4385486570 abstract "Much work in the literature has studied different types of cyber security related users and communities on OSNs, such as activists, hacktivists, hackers, cyber criminals. A few studies also covered no-expert users who discussed cyber security related topics, however, to the best of our knowledge, none has studied activities of cyber security researchers on OSNs. This paper fills this gap using a data-driven analysis of the presence of the UK’s Academic Centres of Excellence in Cyber Security Research (ACEs-CSR) on Twitter. We created machine learning classifiers to identify cyber security and research related accounts. Then, starting from 19 seed accounts of the ACEs-CSR, a social network graph of 1,817 research-related accounts that were followers or friends of at least one ACE-CSR was constructed. We conducted a comprehensive analysis of the data we collected: a social structural analysis of the social graph; a topic modelling analysis to identify the main topics discussed publicly by researchers in ACEs-CSR network, and a sentiment analysis of how researchers perceived the ACE-CSR programme and the ACEs-CSR. Our study revealed several findings: 1) graph-based analysis and community detection algorithms are useful in detecting sub-communities of researchers to help understand how they are formed and what they represent; 2) topic modelling can identify topics discussed by cyber security researchers (e.g., cyber security incidents, vulnerabilities, threats, privacy, data protection laws, cryptography, research, education, cyber conflict, and politics); and 3) sentiment analysis showed a generally positive sentiment about the ACE-CSR programme and ACEs-CSR. Our work showed the feasibility and usefulness of large-scale automated analyses of cyber security researchers on Twitter." @default.
• W4385486570 created "2023-08-03" @default.
• W4385486570 creator A5057007224 @default.
• W4385486570 creator A5066191607 @default.
• W4385486570 date "2023-01-01" @default.
• W4385486570 modified "2023-10-17" @default.
• W4385486570 title "Cyber Security Researchers on Online Social Networks: From the Lens of the UK’s ACEs-CSR on Twitter" @default.
• W4385486570 cites W1971421925 @default.
• W4385486570 cites W2008209917 @default.
• W4385486570 cites W2038043464 @default.
• W4385486570 cites W2095293504 @default.
• W4385486570 cites W2099813784 @default.
• W4385486570 cites W2125910575 @default.
• W4385486570 cites W2131681506 @default.
• W4385486570 cites W2160170318 @default.
• W4385486570 cites W2174706414 @default.
• W4385486570 cites W2240448247 @default.
• W4385486570 cites W2416738288 @default.
• W4385486570 cites W2740924709 @default.
• W4385486570 cites W2755558918 @default.
• W4385486570 cites W2807611803 @default.
• W4385486570 cites W2920344165 @default.
• W4385486570 cites W2934607510 @default.
• W4385486570 cites W3038868364 @default.
• W4385486570 cites W3105298541 @default.
• W4385486570 cites W3106188259 @default.
• W4385486570 cites W3158827677 @default.
• W4385486570 cites W3198695837 @default.
• W4385486570 cites W4213179676 @default.
• W4385486570 cites W4308616429 @default.
• W4385486570 cites W4313064591 @default.
• W4385486570 doi "https://doi.org/10.1007/978-981-99-5177-2_8" @default.
• W4385486570 hasPublicationYear "2023" @default.
• W4385486570 type Work @default.
• W4385486570 citedByCount "0" @default.
• W4385486570 crossrefType "book-chapter" @default.
• W4385486570 hasAuthorship W4385486570A5057007224 @default.
• W4385486570 hasAuthorship W4385486570A5066191607 @default.
• W4385486570 hasConcept C108827166 @default.
• W4385486570 hasConcept C110875604 @default.
• W4385486570 hasConcept C136764020 @default.
• W4385486570 hasConcept C141261163 @default.
• W4385486570 hasConcept C17744445 @default.
• W4385486570 hasConcept C199539241 @default.
• W4385486570 hasConcept C2522767166 @default.
• W4385486570 hasConcept C2777352838 @default.
• W4385486570 hasConcept C2779390178 @default.
• W4385486570 hasConcept C38369872 @default.
• W4385486570 hasConcept C38652104 @default.
• W4385486570 hasConcept C39549134 @default.
• W4385486570 hasConcept C41008148 @default.
• W4385486570 hasConcept C518677369 @default.
• W4385486570 hasConcept C86844869 @default.
• W4385486570 hasConceptScore W4385486570C108827166 @default.
• W4385486570 hasConceptScore W4385486570C110875604 @default.
• W4385486570 hasConceptScore W4385486570C136764020 @default.
• W4385486570 hasConceptScore W4385486570C141261163 @default.
• W4385486570 hasConceptScore W4385486570C17744445 @default.
• W4385486570 hasConceptScore W4385486570C199539241 @default.
• W4385486570 hasConceptScore W4385486570C2522767166 @default.
• W4385486570 hasConceptScore W4385486570C2777352838 @default.
• W4385486570 hasConceptScore W4385486570C2779390178 @default.
• W4385486570 hasConceptScore W4385486570C38369872 @default.
• W4385486570 hasConceptScore W4385486570C38652104 @default.
• W4385486570 hasConceptScore W4385486570C39549134 @default.
• W4385486570 hasConceptScore W4385486570C41008148 @default.
• W4385486570 hasConceptScore W4385486570C518677369 @default.
• W4385486570 hasConceptScore W4385486570C86844869 @default.
• W4385486570 hasLocation W43854865701 @default.
• W4385486570 hasOpenAccess W4385486570 @default.
• W4385486570 hasPrimaryLocation W43854865701 @default.
• W4385486570 hasRelatedWork W1886005038 @default.
• W4385486570 hasRelatedWork W2748952813 @default.
• W4385486570 hasRelatedWork W2772177183 @default.
• W4385486570 hasRelatedWork W2987285902 @default.
• W4385486570 hasRelatedWork W2995666706 @default.
• W4385486570 hasRelatedWork W3155944704 @default.
• W4385486570 hasRelatedWork W3157552300 @default.
• W4385486570 hasRelatedWork W3187595531 @default.
• W4385486570 hasRelatedWork W3200199773 @default.
• W4385486570 hasRelatedWork W4205794761 @default.
• W4385486570 isParatext "false" @default.
• W4385486570 isRetracted "false" @default.
• W4385486570 workType "book-chapter" @default.