Integration of Network science approaches and Data Science tools in the Internet of Things based Technologies

Data science is playing a virtual role in our lives, from the personalization of our experiences to helping us the large and heterogeneous types of data sets in various domains. Based on the theoretical knowledge of network and data sciences, researchers need to be familiar with relevant future technologies. There are several compacting network science approaches that are available quantities research. Data science tools and network science approaches offer a unique perspective to tackle complex problems, impenetrable to linear-proportional thinking. So, in this study, we reviewed various network graph-based analytics such as network centrality, closeness centrality as a necessity for the internet of things-based technologies. Also, we discussed a few top data analytics and visualization tools for these technologies as well. Finally, we performed a comparison of network metrics along with suitable platforms.