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商品描述
With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.
商品描述(中文翻譯)
隨著社交媒體和網絡社群在網絡世界中的普及,大量數據已被收集並存儲在數據庫中。這些數據的存儲速度以驚人的速度增長,並將傳統數據分析方法推向極限。本書提出了一個綜合框架,基於來自數據挖掘、社會科學、數學、統計學、物理學、網絡科學、機器學習以及可視化技術和安全性等多個學科的各種技術,對社交網絡分析的最新實證和理論研究進行探討。本書展示了多學科技術在各種現實問題中的潛力,並旨在激勵社交網絡分析的研究者通過整合群體智慧和數據挖掘來設計更有效的工具。