International Journal of Data and Network Science (IJDNS)

The International Journal of Data and Network Science aims to serve as a leading platform for the dissemination of cutting-edge research and advancements in the realms of data science and network analysis. Our primary goal is to foster knowledge exchange, innovation, and collaboration among researchers, practitioners, and scholars worldwide. By facilitating the publication of pioneering studies, we strive to advance the understanding, application, and development of methodologies, tools, and theories in these dynamic fields. 1. Advancing Data Science Knowledge: Promoting the dissemination of cutting-edge research in data science and network analysis. Fostering an environment conducive to the exploration of emerging methodologies, tools, and applications. 2. Catalyzing Collaborative Exchange: Establishing a platform that encourages multidisciplinary collaboration among researchers, scholars, and industry experts. Facilitating dialogue and knowledge exchange to address complex challenges and stimulate innovative solutions. 3. Elevating Educational Frontiers: Serving as a valuable resource for academia and professionals by providing access to the latest advancements and insights in data science. Supporting educational initiatives and fostering continuous learning in the field of data and network science.

International Journal of Data and Network Science (IJDNS) is :-

• International, Peer-Reviewed, Open Access, Refereed, Cloud computing platforms, Data analysis, parameter tuning, Network analysis, Data visualization, Data processing, Big data analysis, Architectures, Social media science, Social media marketing, Data envelopment analysis , Online , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1699-1455, Established: 2024, Impact Factor: 1.50
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE