- Tytuł:
- A novel approach of voterank-based knowledge graph for improvement of multi-attributes influence nodes on social networks
- Autorzy:
-
Pham, Hai Van
Duong, Pham Van
Tran, Dinh Tuan
Lee, Joo-Ho - Powiązania:
- https://bibliotekanauki.pl/articles/23944825.pdf
- Data publikacji:
- 2023
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
video surveillance
deep learning
moving object detection - Opis:
- Recently, measuring users and community influences on social media networks play significant roles in science and engineering. To address the problems, many researchers have investigated measuring users with these influences by dealing with huge data sets. However, it is hard to enhance the performances of these studies with multiple attributes together with these influences on social networks. This paper has presented a novel model for measuring users with these influences on a social network. In this model, the suggested algorithm combines Knowledge Graph and the learning techniques based on the vote rank mechanism to reflect user interaction activities on the social network. To validate the proposed method, the proposed method has been tested through homogeneous graph with the building knowledge graph based on user interactions together with influences in realtime. Experimental results of the proposed model using six open public data show that the proposed algorithm is an effectiveness in identifying influential nodes.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2023, 13, 3; 165--180
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł