Matches in SemOpenAlex for { <https://semopenalex.org/work/W2805616963> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2805616963 abstract "How to model the influence diffusion process accurately is an open issue that it has attracted a lot of researchers in the field of social network analysis. The existing researches assume they have already owned the social graphs with edges labeled with the influence probability. However, the question of how to obtain these probability from social networks has been largely ignored. Thus, it is interesting to address the problem of how to model the influence diffusion based on the data of social graphs and action logs. This is the main problem we addressed in this paper, and our purpose is to solve the problem of seeds detection via the data-driven influence probability calculation. We consider the influence probability can be viewed as two parts of the influence strength and the influence threshold. For learning the influence probability, we propose a novel Data-driven Influence Learning (DIL) algorithm including three stages. The experimental results illustrate our algorithm performs better than other baselines in various datasets. In addition, our algorithm enables us to detect the seed sets in large social networks." @default.
- W2805616963 created "2018-06-13" @default.
- W2805616963 creator A5001777600 @default.
- W2805616963 creator A5043347603 @default.
- W2805616963 creator A5045337789 @default.
- W2805616963 creator A5088488171 @default.
- W2805616963 date "2017-12-01" @default.
- W2805616963 modified "2023-09-27" @default.
- W2805616963 title "Data-Driven Influence Learning in Social Networks" @default.
- W2805616963 doi "https://doi.org/10.1109/ispa/iucc.2017.00177" @default.
- W2805616963 hasPublicationYear "2017" @default.
- W2805616963 type Work @default.
- W2805616963 sameAs 2805616963 @default.
- W2805616963 citedByCount "0" @default.
- W2805616963 crossrefType "proceedings-article" @default.
- W2805616963 hasAuthorship W2805616963A5001777600 @default.
- W2805616963 hasAuthorship W2805616963A5043347603 @default.
- W2805616963 hasAuthorship W2805616963A5045337789 @default.
- W2805616963 hasAuthorship W2805616963A5088488171 @default.
- W2805616963 hasConcept C111919701 @default.
- W2805616963 hasConcept C114713312 @default.
- W2805616963 hasConcept C119857082 @default.
- W2805616963 hasConcept C124101348 @default.
- W2805616963 hasConcept C136764020 @default.
- W2805616963 hasConcept C154945302 @default.
- W2805616963 hasConcept C202444582 @default.
- W2805616963 hasConcept C33923547 @default.
- W2805616963 hasConcept C41008148 @default.
- W2805616963 hasConcept C4727928 @default.
- W2805616963 hasConcept C518677369 @default.
- W2805616963 hasConcept C80444323 @default.
- W2805616963 hasConcept C9652623 @default.
- W2805616963 hasConcept C98045186 @default.
- W2805616963 hasConceptScore W2805616963C111919701 @default.
- W2805616963 hasConceptScore W2805616963C114713312 @default.
- W2805616963 hasConceptScore W2805616963C119857082 @default.
- W2805616963 hasConceptScore W2805616963C124101348 @default.
- W2805616963 hasConceptScore W2805616963C136764020 @default.
- W2805616963 hasConceptScore W2805616963C154945302 @default.
- W2805616963 hasConceptScore W2805616963C202444582 @default.
- W2805616963 hasConceptScore W2805616963C33923547 @default.
- W2805616963 hasConceptScore W2805616963C41008148 @default.
- W2805616963 hasConceptScore W2805616963C4727928 @default.
- W2805616963 hasConceptScore W2805616963C518677369 @default.
- W2805616963 hasConceptScore W2805616963C80444323 @default.
- W2805616963 hasConceptScore W2805616963C9652623 @default.
- W2805616963 hasConceptScore W2805616963C98045186 @default.
- W2805616963 hasLocation W28056169631 @default.
- W2805616963 hasOpenAccess W2805616963 @default.
- W2805616963 hasPrimaryLocation W28056169631 @default.
- W2805616963 hasRelatedWork W143852544 @default.
- W2805616963 hasRelatedWork W1844055344 @default.
- W2805616963 hasRelatedWork W1991635064 @default.
- W2805616963 hasRelatedWork W2107559689 @default.
- W2805616963 hasRelatedWork W2122463926 @default.
- W2805616963 hasRelatedWork W2165483146 @default.
- W2805616963 hasRelatedWork W2560492758 @default.
- W2805616963 hasRelatedWork W2962927445 @default.
- W2805616963 hasRelatedWork W2963352256 @default.
- W2805616963 hasRelatedWork W2981901026 @default.
- W2805616963 hasRelatedWork W2999673347 @default.
- W2805616963 hasRelatedWork W3002640384 @default.
- W2805616963 hasRelatedWork W3033510986 @default.
- W2805616963 hasRelatedWork W3039869158 @default.
- W2805616963 hasRelatedWork W3088445992 @default.
- W2805616963 hasRelatedWork W3097899468 @default.
- W2805616963 hasRelatedWork W3098649382 @default.
- W2805616963 hasRelatedWork W3134524025 @default.
- W2805616963 hasRelatedWork W77085712 @default.
- W2805616963 hasRelatedWork W86109449 @default.
- W2805616963 isParatext "false" @default.
- W2805616963 isRetracted "false" @default.
- W2805616963 magId "2805616963" @default.
- W2805616963 workType "article" @default.