Data Mining for Social Network Data

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DOI: 10.1007/978-1-4419-6287-4

关键词: Social networkInformaticsSocial network analysisIntelligence analysisHealth informaticsData scienceKnowledge extractionInformation scienceMarket analysisComputer scienceData mining

摘要: Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network will present a broad range studies analysis. It focus emerging trends needs discovery communities, solitary activities, activities open commercial sites as well. also look at network modeling, infrastructure construction, dynamic growth evolution pattern using machine learning approaches multi-agent based simulations. Editors are three rising stars world mining, knowledge discovery, analysis, infrastructures, anchored Springer author/editor Hsinchun Chen (Terrorism Informatics; Medical Digital Government), who is one most prominent intelligence experts world.

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