Link Analysis is a method used to examine the relationships between objects or entities in a system. It is commonly used in data mining and machine learning to identify patterns in data sets, and can be used for a variety of applications, such as network security, fraud detection, and market segmentation. Link Analysis can be used to uncover trends, identify associations, and generate insights from data.
Link Analysis is based on the concept of graph theory, which is the study of the relationship between objects, or “nodes”, in a graph. A graph is a set of nodes and edges, where an edge is a link between two nodes. Link Analysis uses algorithms to identify patterns in the graph by analyzing the relationships between nodes. It can be used to identify relationships between objects that are not obvious or that are hidden in the data.
Link Analysis has become increasingly important in the field of machine learning. It has been used to uncover patterns in data sets, such as customer segmentation and fraud detection. It can also be used to detect anomalies in network traffic or to identify malicious activity. Link Analysis is also used in natural language processing to identify semantic relationships between words and phrases.
Link Analysis has been used in a variety of applications, from medical research to social network analysis. It is a powerful tool for extracting insights from data sets, and has the potential to revolutionize the way that data is analyzed and used.
References
Burkhard, M., & Schliep, A. (2018). Link Analysis Algorithms and Applications. Berlin, Heidelberg: Springer Nature.
Gottron, T., & Noulas, A. (2013). Link Analysis in Social Networks. In Social Network Analysis (pp. 157-187). Springer, Berlin, Heidelberg.
Kushmerick, N. (2020). Link Analysis. In Encyclopedia of Machine Learning and Data Mining (pp. 577-578). Springer, Cham.
Mihaylova, L., & Vogiatzis, G. (2016). Link Analysis in Recommender Systems and Information Retrieval. In Recommender Systems Handbook (pp. 599-622). Springer, Boston, MA.
Rosenberg, Y., & Lerman, K. (2017). Link Analysis. In Encyclopedia of Social Network Analysis and Mining (pp. 851-860). Springer, Cham.