Tag Archives: community

Finding and evaluating community structure in networks

We propose and study a set of algorithms for discovering community structure in networks-natural divisions of network nodes into densely connected subgroups. Our algorithms all share two definitive features: first, they involve iterative removal of edges from the network to … Continue reading

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Children Learn by Observing and Contributing to Family and Community Endeavors: A Cultural Paradigm

The book documents the organization of children’s learning and social lives, especially among children whose families have historical roots in the Americas (North, Central, and South), where children traditionally are included and contribute to the activities of their families and … Continue reading

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On Loneliness and Companionship

A specific set of neurons deep in the brain may motivate us to seek company, holding social species together. As social animals, we depend on others for survival. Our communities provide mutual aid and protection, helping humanity to endure and … Continue reading

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Maximal Neighbor Similarity Reveals Real Communities in Networks

An important problem in the analysis of network data is the detection of groups of densely interconnected nodes also called modules or communities. Community structure reveals functions and organizations of networks. Currently used algorithms for community detection in large-scale real-world … Continue reading

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Discovering Communities in Complex Networks by Edge Label Propagation

The discovery of the community structure of real-world networks is still an open problem. Many methods have been proposed to shed light on this problem, and most of these have focused on discovering node community. However, link community is also … Continue reading

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Finding Communities by Their Centers

Detecting communities or clusters in a real-world, networked system is of considerable interest in various fields such as sociology, biology, physics, engineering science, and interdisciplinary subjects, with significant efforts devoted in recent years. Many existing algorithms are only designed to … Continue reading

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Community Structure of Complex Networks

Community structure is a salient structural characteristic of many real-world networks. Communities are generally hierarchical, overlapping, multi-scale and coexist with other types of structural regularities of networks. This poses major challenges for conventional methods of community detection. This book will … Continue reading

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Social Innovation Exchange

SIX is now the world’s primary network focusing on social innovation. Our vision is that people all over the world can become better innovators by more easily connecting to their peers, sharing methods and exchanging solutions globally. We connect people … Continue reading

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Community-based Research Methods – Putting Ideas into Action

This article explores how we can more fully engage our students in research and social problems by creating community-based research methods courses. I describe a course I created in which students learned qualitative research methods and then conducted the majority … Continue reading

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Characterizing the Community Structure of Complex Networks

Community structure is one of the key properties of complex networks and plays a crucial role in their topology and function. While an impressive amount of work has been done on the issue of community detection, very little attention has … Continue reading

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