Matches in SemOpenAlex for { <https://semopenalex.org/work/W3035861620> ?p ?o ?g. }
- W3035861620 endingPage "113580" @default.
- W3035861620 startingPage "113580" @default.
- W3035861620 abstract "Identifying influential users and measure the influence of nodes in social networks have become an interesting and important topic of research. It is crucial to find out to what extent individuals influence each other because it can be used to control rumors, diseases, and diffusion. There are numerous relevant models most of which are based on a homogeneous network. However, in the real world, we face heterogeneous networks where the nodes and edges are different types. A network is homogeneous if and only if the edges and nodes are of the same type, and it is considered heterogeneous if the nodes and edges are different. In heterogeneous networks, there is a concept known as meta-path, which indicates the type of communication between two nodes. In this paper, we aim to locate influential nodes by calculating the entropy of different meta-paths. To evaluate information diffusion in a heterogeneous network, we used the known susceptible-infectious model. The results of our experiments on three real-world networks’ dataset show that the proposed method outperforms state-of-the-art influence maximization algorithms." @default.
- W3035861620 created "2020-06-25" @default.
- W3035861620 creator A5013529132 @default.
- W3035861620 creator A5014176390 @default.
- W3035861620 creator A5030702548 @default.
- W3035861620 creator A5045639669 @default.
- W3035861620 date "2020-12-01" @default.
- W3035861620 modified "2023-10-12" @default.
- W3035861620 title "Identifying influential nodes in heterogeneous networks" @default.
- W3035861620 cites W103340358 @default.
- W3035861620 cites W1581604130 @default.
- W3035861620 cites W1975563293 @default.
- W3035861620 cites W1978567637 @default.
- W3035861620 cites W1995875735 @default.
- W3035861620 cites W2034947316 @default.
- W3035861620 cites W2068950776 @default.
- W3035861620 cites W2075010670 @default.
- W3035861620 cites W2093507864 @default.
- W3035861620 cites W2429442430 @default.
- W3035861620 cites W2509202005 @default.
- W3035861620 cites W2566183352 @default.
- W3035861620 cites W2580049281 @default.
- W3035861620 cites W2584447535 @default.
- W3035861620 cites W2591977458 @default.
- W3035861620 cites W2595833485 @default.
- W3035861620 cites W2726102268 @default.
- W3035861620 cites W2763117283 @default.
- W3035861620 cites W2807069665 @default.
- W3035861620 cites W2808761699 @default.
- W3035861620 cites W2886158220 @default.
- W3035861620 cites W2888598750 @default.
- W3035861620 cites W2911320424 @default.
- W3035861620 cites W2913797394 @default.
- W3035861620 cites W2918444695 @default.
- W3035861620 cites W2939114988 @default.
- W3035861620 cites W2947501077 @default.
- W3035861620 cites W2961534768 @default.
- W3035861620 cites W2962821312 @default.
- W3035861620 cites W2962890993 @default.
- W3035861620 cites W2963913979 @default.
- W3035861620 cites W2977921098 @default.
- W3035861620 cites W2982321177 @default.
- W3035861620 cites W3037826211 @default.
- W3035861620 cites W3098204030 @default.
- W3035861620 cites W3098572989 @default.
- W3035861620 cites W3099467122 @default.
- W3035861620 cites W764995726 @default.
- W3035861620 doi "https://doi.org/10.1016/j.eswa.2020.113580" @default.
- W3035861620 hasPublicationYear "2020" @default.
- W3035861620 type Work @default.
- W3035861620 sameAs 3035861620 @default.
- W3035861620 citedByCount "18" @default.
- W3035861620 countsByYear W30358616202020 @default.
- W3035861620 countsByYear W30358616202021 @default.
- W3035861620 countsByYear W30358616202022 @default.
- W3035861620 countsByYear W30358616202023 @default.
- W3035861620 crossrefType "journal-article" @default.
- W3035861620 hasAuthorship W3035861620A5013529132 @default.
- W3035861620 hasAuthorship W3035861620A5014176390 @default.
- W3035861620 hasAuthorship W3035861620A5030702548 @default.
- W3035861620 hasAuthorship W3035861620A5045639669 @default.
- W3035861620 hasConcept C106301342 @default.
- W3035861620 hasConcept C108037233 @default.
- W3035861620 hasConcept C114614502 @default.
- W3035861620 hasConcept C121332964 @default.
- W3035861620 hasConcept C124101348 @default.
- W3035861620 hasConcept C126255220 @default.
- W3035861620 hasConcept C158207573 @default.
- W3035861620 hasConcept C2776330181 @default.
- W3035861620 hasConcept C2777735758 @default.
- W3035861620 hasConcept C31258907 @default.
- W3035861620 hasConcept C33923547 @default.
- W3035861620 hasConcept C41008148 @default.
- W3035861620 hasConcept C555944384 @default.
- W3035861620 hasConcept C62520636 @default.
- W3035861620 hasConcept C66882249 @default.
- W3035861620 hasConcept C76155785 @default.
- W3035861620 hasConceptScore W3035861620C106301342 @default.
- W3035861620 hasConceptScore W3035861620C108037233 @default.
- W3035861620 hasConceptScore W3035861620C114614502 @default.
- W3035861620 hasConceptScore W3035861620C121332964 @default.
- W3035861620 hasConceptScore W3035861620C124101348 @default.
- W3035861620 hasConceptScore W3035861620C126255220 @default.
- W3035861620 hasConceptScore W3035861620C158207573 @default.
- W3035861620 hasConceptScore W3035861620C2776330181 @default.
- W3035861620 hasConceptScore W3035861620C2777735758 @default.
- W3035861620 hasConceptScore W3035861620C31258907 @default.
- W3035861620 hasConceptScore W3035861620C33923547 @default.
- W3035861620 hasConceptScore W3035861620C41008148 @default.
- W3035861620 hasConceptScore W3035861620C555944384 @default.
- W3035861620 hasConceptScore W3035861620C62520636 @default.
- W3035861620 hasConceptScore W3035861620C66882249 @default.
- W3035861620 hasConceptScore W3035861620C76155785 @default.
- W3035861620 hasLocation W30358616201 @default.
- W3035861620 hasLocation W30358616202 @default.
- W3035861620 hasLocation W30358616203 @default.
- W3035861620 hasOpenAccess W3035861620 @default.
- W3035861620 hasPrimaryLocation W30358616201 @default.