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

Complex networks

intricate patterns of connections

non-trivial topological features

Community structure refers to the composition and organization of species within an ecological community, shaping interactions and dynamics that influence biodiversity and ecosystem functioning. It is determined by factors such as species richness, evenness, and the presence of keystone species, which together create a complex web of relationships and dependencies.

community structure

scale-free degree distribution

small-world properties

behavior of various real-world systems

Biological networks are complex systems composed of interconnected biological entities, such as genes, proteins, or metabolites, that interact to perform biological functions. They provide insights into the organization, function, and dynamics of biological systems, enabling advancements in understanding diseases and developing therapeutic strategies.

Biological Networks

Social networks are structures composed of individuals or entities connected by various types of relationships, facilitating communication, information exchange, and influence among members. They play a crucial role in shaping social dynamics, impacting areas such as communication, marketing, and social behavior.

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