Assessing the importance of spreaders in networks is crucial for investigating the survival
and robustness of networks. There are numerous potential applications, such as preventing …

Concepts and implications are two facets of the knowledge contained within a binary
relation between objects and attributes. Simplification logic (SL) has proved to be valuable …

Identifying the influential and spreader nodes in complex networks solves many types of
complex scientific problems. In social networks, identifying the influential individuals can be …

Mining important conceptual patterns is an essential task for understanding the context and
content of complex data in many scientific and engineering applications. While exact …

Optimizing methodologies for identifying vital nodes within complex networks is an active
field of study. Our findings indicate that although the traditional techniques for static …

The influential node in the network is the node that has a higher impact on network
functioning compared to the other nodes. The influential node detection in the complex …

Conceptual identification of fuzzy knowledge is one of the important knowledge-processing
methods, which can be used for such tasks as concept matching, computation of concept …

The classical approach on Formal Concept Analysis (FCA) extracts knowledge from a binary
table K=(G, M, I) taking into account the existing relationships (given by the binary relation I) …

Conceptual identification is one of the significant methods of conceptual knowledge
processing, which allows knowledge-based systems to identify certain concepts and all their …

Buku ini berjudul" Komputasi Berpusat pada Manusia: Sebuah Paradigma Baru" yang
menggambarkan perubahan pandangan terkait komputasi yang semakin berorientasi pada …