How can we uncover the natural communities in a real network that allows insight into its underlying structure and also potential functions? In this paper, we introduce a new community detection algorithm, called Attractor, which automatically spots the communities or groups in a network over time via local dynamic interaction. The basic idea is to envision a network as a dynamical system, and ...

Community detection is a classical problem in the field of graph mining. While most algorithms work on the entire graph, it is often interesting in practice to recover only the community containing some given set of seed nodes. In this paper, we propose a novel approach to this problem, using some low-dimensional embedding of the graph based on random walks starting from the seed nodes. From th...

Looking at different examples of real life “communities”, one can roughly distinguish communities formed by people who are interested in the same topic and communities of people that share some kind of common environment. The first kind of communities can be called “communities of interest”. Examples for such communities are experts in a particular domain or collectors. Examples for communities...

Community identification algorithms have been used to enhance the quality of the services perceived by its users. Although algorithms for community have a widespread use in the Web, their application to portals or specific subsets of the Web has not been much studied. In this paper, we propose a technique for local community identification that takes into account user access behavior derived fr...

Identifying community structure in networks is an important topic in data mining research. One of the challenges is to find local communities without requiring the global knowledge of the entire network. Exiting techniques have several limitations. First, there is no widely accepted definition for community. Second, these algorithms either lack good stopping criteria or depend on predefined thr...

The local identification of communities in a network can be much more effective than partitioning the entire network when only a small portion of a large network is of interest. A local approach is also favored when it is difficult to obtain information about the entire network, the world wide web is a prime example. Such local identification algorithms typically evaluate nodes outside the loca...

In Nigeria, the government is implementing the Free Maternal and Child Health Care Programme (FMCHCP). The policy is premised on the notion that financial barriers are one of the most important constraints to equitable access and use of skilled maternal and child healthcare. In Ebonyi State, Southeastern Nigeria the FMCHCP is experiencing implementation challenges including: inadequate human re...

Background Decentralisation in the health sector has been promoted in low- and middle-income countries (LMICs) for many years. Inherently, decentralisation grants decision-making space to local level authorities over different functions such as: finance, human resources, service organization, and governance. However, there is paucity of studies which have assessed the actual use of decisi...

The existence of brownfields in cities, and their common disadvantages, such as pollution and their detriment to natural habitats, have damaged local communities and their environment over time. Whereas the renovation and regeneration of these brownfields and transforming them into centers of activity could assist the economy and society to flourish. At the same time improving the quality of th...

INTRODUCTION OR BACKGROUND In 2013, responsibility for public health returned to local government from the National Health Service (NHS) in England. This article describes, as a case study, a new fresh approach to tackling health inequalities, which built on a desire by local councils in the north of England to rethink approaches and collaborate on new ideas to improving health and reducing hea...