Matches in SemOpenAlex for { <https://semopenalex.org/work/W4248469906> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W4248469906 endingPage "517" @default.
- W4248469906 startingPage "495" @default.
- W4248469906 abstract "Influential agents in networks play a pivotal role in information diffusion. Influence may rise or fall quickly over time and thus capturing this evolution of influence is of benefit to a varied number of application domains such as digital marketing, counter-terrorism or policing. In this paper, we investigate the influence of users in programming communities on Twitter. We propose a new model for capturing both time-invariant influence and also temporal influence. The unified model is a combination of network topological methods and observation of influence-relevant events in the network. We provide an application of Hidden Markov Models (HMM) for capturing this effect on the network. There are many possible combinations of influence factors, hence we required a ground-truth for model configuration. We performed a primary survey of our population users to elicit their views on influential users. The survey allowed us to validate the results of our classifier. We introduce a novel reward-based transformation to the Viterbi path of the observed sequences, which provides an overall ranking for users. Our results show an improvement in ranking accuracy over using solely topology-based methods for the particular area of interest we sampled. Utilizing the evolutionary aspect of the HMM, we attempt to predict future states using current evidence. Our prediction algorithm significantly outperforms a collection of naive models, especially in the short term (1–3 weeks)." @default.
- W4248469906 created "2022-05-12" @default.
- W4248469906 creator A5004198778 @default.
- W4248469906 creator A5013709529 @default.
- W4248469906 creator A5073527076 @default.
- W4248469906 date "2014-06-26" @default.
- W4248469906 modified "2023-10-18" @default.
- W4248469906 title "Ranking twitter influence by combining network centrality and influence observables in an evolutionary model" @default.
- W4248469906 cites W2005697854 @default.
- W4248469906 doi "https://doi.org/10.1093/comnet/cnu024" @default.
- W4248469906 hasPublicationYear "2014" @default.
- W4248469906 type Work @default.
- W4248469906 citedByCount "12" @default.
- W4248469906 countsByYear W42484699062015 @default.
- W4248469906 countsByYear W42484699062017 @default.
- W4248469906 countsByYear W42484699062018 @default.
- W4248469906 countsByYear W42484699062019 @default.
- W4248469906 countsByYear W42484699062021 @default.
- W4248469906 countsByYear W42484699062023 @default.
- W4248469906 crossrefType "journal-article" @default.
- W4248469906 hasAuthorship W4248469906A5004198778 @default.
- W4248469906 hasAuthorship W4248469906A5013709529 @default.
- W4248469906 hasAuthorship W4248469906A5073527076 @default.
- W4248469906 hasConcept C114614502 @default.
- W4248469906 hasConcept C119857082 @default.
- W4248469906 hasConcept C124101348 @default.
- W4248469906 hasConcept C154945302 @default.
- W4248469906 hasConcept C189430467 @default.
- W4248469906 hasConcept C23224414 @default.
- W4248469906 hasConcept C33923547 @default.
- W4248469906 hasConcept C41008148 @default.
- W4248469906 hasConcept C53811970 @default.
- W4248469906 hasConcept C60582962 @default.
- W4248469906 hasConcept C95623464 @default.
- W4248469906 hasConceptScore W4248469906C114614502 @default.
- W4248469906 hasConceptScore W4248469906C119857082 @default.
- W4248469906 hasConceptScore W4248469906C124101348 @default.
- W4248469906 hasConceptScore W4248469906C154945302 @default.
- W4248469906 hasConceptScore W4248469906C189430467 @default.
- W4248469906 hasConceptScore W4248469906C23224414 @default.
- W4248469906 hasConceptScore W4248469906C33923547 @default.
- W4248469906 hasConceptScore W4248469906C41008148 @default.
- W4248469906 hasConceptScore W4248469906C53811970 @default.
- W4248469906 hasConceptScore W4248469906C60582962 @default.
- W4248469906 hasConceptScore W4248469906C95623464 @default.
- W4248469906 hasIssue "4" @default.
- W4248469906 hasLocation W42484699061 @default.
- W4248469906 hasOpenAccess W4248469906 @default.
- W4248469906 hasPrimaryLocation W42484699061 @default.
- W4248469906 hasRelatedWork W1842811854 @default.
- W4248469906 hasRelatedWork W2259982488 @default.
- W4248469906 hasRelatedWork W2512018286 @default.
- W4248469906 hasRelatedWork W2556319748 @default.
- W4248469906 hasRelatedWork W2891961174 @default.
- W4248469906 hasRelatedWork W2961085424 @default.
- W4248469906 hasRelatedWork W3158264953 @default.
- W4248469906 hasRelatedWork W3200179079 @default.
- W4248469906 hasRelatedWork W4249229055 @default.
- W4248469906 hasRelatedWork W4310989423 @default.
- W4248469906 hasVolume "2" @default.
- W4248469906 isParatext "false" @default.
- W4248469906 isRetracted "false" @default.
- W4248469906 workType "article" @default.