Matches in SemOpenAlex for { <https://semopenalex.org/work/W2029258880> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2029258880 abstract "Online social networks (OSNs) are widely known interactive communication tools for millions of users and their friends. But, in recent years, these tools become the platforms for executing spam messages and malwares. It is obvious that a user reacts to the message of an OSN friend than from an unknown user which makes the social spam more vulnerable and popular than conventional email. Twitter spam detection has become an attractive research topic in recent years in which the majority of earlier works focuses upon identifying malicious user accounts and based on using honeypot detection schemes. Conventional approaches uses Twitter trending topics without interaction of user activity and receiver. In order to handle this issue, this work proposes a new social interaction Tweet Trending Bayesian Probabilistic Tensor Factorization (TTBPTF) based tweet trending topics spammers' detection in social networks that exploits social activities, spammer activity and user activity in Twitter. These interaction activities are analyzed in TTBPTF and features such as user profile features, semantic features, user activity and location based features are extracted. Then, the extracted features are represented in matrix format to analyze the results of tweet trending topics spam user with Bayesian Probabilistic learning methods. The extracted text features are analyzed using Quadratic entropy measure in which each labeled tweet is represented through natural language models. Moreover, Bayesian probabilistic learning method is applied with the goal of examining the emergent characteristics of spam in social networks. The proposed approach detects the spammers collectively based on the users' social actions, spammer activity and social relations. It is observed that when the Bayesian Probabilistic Tensor Factorization is adjusted for the feature vector learning, the results of spammer activity and received user results are analyzed in an efficient manner." @default.
- W2029258880 created "2016-06-24" @default.
- W2029258880 creator A5079443289 @default.
- W2029258880 creator A5091827992 @default.
- W2029258880 date "2014-07-01" @default.
- W2029258880 modified "2023-09-23" @default.
- W2029258880 title "Bayesian probabilistic tensor factorization for malicious tweets in trending topics" @default.
- W2029258880 cites W1233141674 @default.
- W2029258880 cites W1986678144 @default.
- W2029258880 cites W1996802155 @default.
- W2029258880 cites W2009119083 @default.
- W2029258880 cites W2024165284 @default.
- W2029258880 cites W2060440228 @default.
- W2029258880 cites W2085040216 @default.
- W2029258880 cites W2111304557 @default.
- W2029258880 cites W2137245235 @default.
- W2029258880 cites W2144144806 @default.
- W2029258880 cites W2148403395 @default.
- W2029258880 doi "https://doi.org/10.1109/iccicct.2014.6993085" @default.
- W2029258880 hasPublicationYear "2014" @default.
- W2029258880 type Work @default.
- W2029258880 sameAs 2029258880 @default.
- W2029258880 citedByCount "3" @default.
- W2029258880 countsByYear W20292588802015 @default.
- W2029258880 countsByYear W20292588802016 @default.
- W2029258880 crossrefType "proceedings-article" @default.
- W2029258880 hasAuthorship W2029258880A5079443289 @default.
- W2029258880 hasAuthorship W2029258880A5091827992 @default.
- W2029258880 hasConcept C107673813 @default.
- W2029258880 hasConcept C110875604 @default.
- W2029258880 hasConcept C119857082 @default.
- W2029258880 hasConcept C121332964 @default.
- W2029258880 hasConcept C136764020 @default.
- W2029258880 hasConcept C154945302 @default.
- W2029258880 hasConcept C158693339 @default.
- W2029258880 hasConcept C158955206 @default.
- W2029258880 hasConcept C165696696 @default.
- W2029258880 hasConcept C23123220 @default.
- W2029258880 hasConcept C2780150774 @default.
- W2029258880 hasConcept C38652104 @default.
- W2029258880 hasConcept C41008148 @default.
- W2029258880 hasConcept C42355184 @default.
- W2029258880 hasConcept C49937458 @default.
- W2029258880 hasConcept C62520636 @default.
- W2029258880 hasConceptScore W2029258880C107673813 @default.
- W2029258880 hasConceptScore W2029258880C110875604 @default.
- W2029258880 hasConceptScore W2029258880C119857082 @default.
- W2029258880 hasConceptScore W2029258880C121332964 @default.
- W2029258880 hasConceptScore W2029258880C136764020 @default.
- W2029258880 hasConceptScore W2029258880C154945302 @default.
- W2029258880 hasConceptScore W2029258880C158693339 @default.
- W2029258880 hasConceptScore W2029258880C158955206 @default.
- W2029258880 hasConceptScore W2029258880C165696696 @default.
- W2029258880 hasConceptScore W2029258880C23123220 @default.
- W2029258880 hasConceptScore W2029258880C2780150774 @default.
- W2029258880 hasConceptScore W2029258880C38652104 @default.
- W2029258880 hasConceptScore W2029258880C41008148 @default.
- W2029258880 hasConceptScore W2029258880C42355184 @default.
- W2029258880 hasConceptScore W2029258880C49937458 @default.
- W2029258880 hasConceptScore W2029258880C62520636 @default.
- W2029258880 hasLocation W20292588801 @default.
- W2029258880 hasOpenAccess W2029258880 @default.
- W2029258880 hasPrimaryLocation W20292588801 @default.
- W2029258880 hasRelatedWork W1993081839 @default.
- W2029258880 hasRelatedWork W2138648705 @default.
- W2029258880 hasRelatedWork W2209809854 @default.
- W2029258880 hasRelatedWork W2295464403 @default.
- W2029258880 hasRelatedWork W2319547737 @default.
- W2029258880 hasRelatedWork W2398905593 @default.
- W2029258880 hasRelatedWork W2505282017 @default.
- W2029258880 hasRelatedWork W2528528009 @default.
- W2029258880 hasRelatedWork W2612071923 @default.
- W2029258880 hasRelatedWork W2612240173 @default.
- W2029258880 hasRelatedWork W2806043058 @default.
- W2029258880 hasRelatedWork W2888755148 @default.
- W2029258880 hasRelatedWork W2900547346 @default.
- W2029258880 hasRelatedWork W2953977150 @default.
- W2029258880 hasRelatedWork W2962680986 @default.
- W2029258880 hasRelatedWork W2979258594 @default.
- W2029258880 hasRelatedWork W2999125649 @default.
- W2029258880 hasRelatedWork W3035764154 @default.
- W2029258880 hasRelatedWork W3094532131 @default.
- W2029258880 hasRelatedWork W3102746519 @default.
- W2029258880 isParatext "false" @default.
- W2029258880 isRetracted "false" @default.
- W2029258880 magId "2029258880" @default.
- W2029258880 workType "article" @default.