Titlebook: Community Search over Big Graphs; Xin Huang,Laks V. S. Lakshmanan,Jianliang Xu Book 2019 Springer Nature Switzerland AG 2019

時(shí)代錯(cuò)誤

Social Circle Analysis,all social circles for a given user. Social circles can be used for content filtering, for privacy management, and for sharing groups of users that other users may wish to follow. In the following, we first formally define an ego-network and then discuss two different research problems of social circle discovery.

集聚成團(tuán)

Part III: World Music: East Is West,duce recent community search models, problems, algorithms, and techniques, and identify important further research that remains open in this important field. We start this chapter by motivating the study of community search using illustrative examples. In addition, we provide some basic concepts and provide an outline of this book.

彈藥

使習(xí)慣于

Introduction,duce recent community search models, problems, algorithms, and techniques, and identify important further research that remains open in this important field. We start this chapter by motivating the study of community search using illustrative examples. In addition, we provide some basic concepts and provide an outline of this book.

LOPE

Cohesive Subgraphs,lique [31, 45, 166, 182], quasi-clique [162], .-DBDSG [132], .-clan [132], .-club [132], .-plex [165], .-core [19, 44], .-truss [50, 165], .-ecc [38], and densest subgraphs [15, 106]. We also investigate their relationships and compare their structural properties using illustrative examples.

LITHE

Book 2019ollaboration, and communication networks. Recently, community search over graphs has attracted significantly increasing attention, from small, simple, and static graphs to big, evolving, attributed, and location-based graphs...In this book, we first review the basic concepts of networks, communities

總

勛章

障礙

peptic-ulcer

Introduction,n their automatic detection. In contrast to community detection, the aim of community search is to find communities satisfying a given query. Over the last decade, significant strides have been made in the development of community search techniques, which overcome the expensive computation of global