Graph clustering is the process of grouping vertices in a graph such that vertices within the same group are more densely connected to each other than to those in other groups. It is a crucial technique for simplifying complex networks and uncovering hidden structures in data, applicable in various fields such as social network analysis, biology, and computer science.

Graph Clustering

Graph clustering

grouping vertices

Dense connections

Complex networks are systems characterized by intricate patterns of connections among their components, often demonstrating non-trivial topological features such as community structure, scale-free degree distribution, and small-world properties. These networks are crucial for understanding the behavior of various real-world systems, from biological to social and technological networks, where the interplay between structure and dynamics is essential.

complex networks

hidden structures

Social network analysis (SNA) is a methodological approach to understanding social structures through the use of networks and graph theory. It focuses on the relationships and interactions between entities, allowing for the visualization and analysis of complex social systems and the identification of influential nodes and connections.

social network analysis

Biology is the scientific study of life and living organisms, encompassing their structure, function, growth, evolution, distribution, and taxonomy. It is a vast and interdisciplinary field that connects with other sciences to understand the complex interactions within ecosystems and the molecular mechanisms of life.

biology

Computer science is the study of algorithmic processes, computational machines, and computation itself, which underpins the development of software and systems that drive modern technology. It encompasses a wide range of topics from theoretical foundations to practical applications, making it essential for innovation in various fields such as artificial intelligence, cybersecurity, and data science.

CUSTOMIZE YOUR LEARNING

CUSTOMIZE YOUR LEARNING

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