Investigates the principles and methodologies of mining heterogeneous information networks. Departing from many existing network models that view interconnected data as homogeneous graphs or networks, the semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and uncovers surprisingly rich knowledge from the network.
Real-world physical and abstract data objects are interconnected, forming gigantic, interconnected networks. By structuring these data objects and interactions between these objects into multiple types, such networks become semi-structured heterogeneous information networks. Most real-world applications that handle big data, including interconnected social media and social networks, scientific, engineering, or medical information systems, online e-commerce systems, and most database systems, can be structured into heterogeneous information networks. Therefore, effective analysis of large-scale heterogeneous information networks poses an interesting but critical challenge. In this book, we investigate the principles and methodologies of mining heterogeneous information networks. Departing from many existing network models that view interconnected data as homogeneous graphs or networks, our semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and uncovers surprisingly rich knowledge from the network. This semi-structured heterogeneous network modeling leads to a series of new principles and powerful methodologies for mining interconnected data, including: (1) rank-based clustering and classification; (2) meta-path-based similarity search and mining; (3) relation strength-aware mining, and many other potential developments. This book introduces this new research frontier and points out some promising research directions. Table of Contents: Introduction / Ranking-Based Clustering / Classification of Heterogeneous Information Networks / Meta-Path-Based Similarity Search / Meta-Path-Based Relationship Prediction / Relation Strength-Aware Clustering with Incomplete Attributes / User-Guided Clustering via Meta-Path Selection / Research Frontiers
With the enhancement of national strength, China’s diplomacy has leapt onto a new high ground, basically obtaining the status of a world power. Meanwhile, it has also received a large amount of right and wrong mixed criticism and suggestions from different sides, in the face of a sudden increase in opportunities, pressures, and conflicts. The "creative involvement" in this book is exactly proposed for the future of China’s diplomacy. In this book, the author first defines the concept "creative involvement". Different from diplomatic theories in the traditional senses, creative involvement is a kind of diplomatic thinking which encourages more active participation in international affairs and advocates creative solutions. Then the author makes case studies on some events and people which have been of typical significance in China’s diplomatic practices since the end of the Cold War, expounding their innovations and limitations. In the third part, the author turns to various supportive propositions, ideas, and theories concerning creative involvement and explains how they are applied to China’s future diplomatic practice. Lastly, the author tries to set a number of scenarios, discussing the possible entry points for creative involvement. Combining innovative theoretical idea with practical investigation, this book will not only contribute to contemporary China diplomatic studies but also appeal to scholars and students of international relations studies.
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