Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Debadatta Naik"'
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:4157-4174
In social network analysis, link prediction is an important area where the researchers can find the missing links and the future links possible among the users. Often, link prediction is made by analyzing the social linkage of the users in the given
Publikováno v:
Cluster Computing.
Publikováno v:
Arabian Journal for Science and Engineering. 45:10199-10222
Social network analysis is found to be one of the emerging research directions in the field of data science. This paper mainly concerns with the identification of influential entities with the help of several centrality measures like degree, closenes
Community detection in social networks is the process of identifying the cohesive groups of similar nodes. Detection of these groups can be helpful in many applications, such as finding networks of protein interaction in biological networks, finding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b81fa2d8e646ef8b72fdae50b861122
https://hdl.handle.net/10453/168708
https://hdl.handle.net/10453/168708
Publikováno v:
Neural Computing and Applications. 32:9649-9665
Communities in social networks are the essential feature which may be considered as a potential parameter in modeling the behavior of the social entities. Detection of communities has attracted a lot of attention in research in social network analysi
Publikováno v:
Social Network Analysis and Mining. 10
With the increase in popularity of the social networks, it has become a perennial source of data analytics to mining the abundant information in real-world networks. As the social network is heterogeneous, some of its entities like nodes and edges ma
Publikováno v:
Innovations for Community Services ISBN: 9783030374839
I4CS
I4CS
In the current era, the analysis of social network data is one of the challenging tasks. Social networks are represented as a graphical structure where the users will be treated as nodes and the edges represent the social tie between the users. Resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::599d9581c9605919bd700e113c04ff72
https://doi.org/10.1007/978-3-030-37484-6_4
https://doi.org/10.1007/978-3-030-37484-6_4
Social network is defined as the interconnection of number of social entities with a variety of relationships. Usually social entities in a social network are of similar types. However, they may be heterogeneous. They can be interdependent through va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9a9498e9b05de46b79c8818e7e0d73b
https://doi.org/10.1201/9781315112626-1
https://doi.org/10.1201/9781315112626-1
Publikováno v:
RAIT
This paper highlights the solution of a content matching problem in large-scale social network, where the matching is to be done between a set of producers of information and the associated consumers. In the information dissemination process, the obj
Publikováno v:
COMPUTE
Identifying communities in social network plays an important role in predicting behavior of the complex network. Real world systems in social network can be modeled as a graph structure, where nodes represents the social entities and edges represents