Modeling Influence with Semantics in Social Networks
作者： Gerasimos Razis , Ioannis Anagnostopoulos , Sherali Zeadally
DOI: 10.1145/3369780
关键词: Social semantics 、 Computer science 、 Influencer marketing 、 Data science 、 Social influence 、 Field (computer science) 、 Semantics 、 Information quality
摘要: The discovery of influential entities in all kinds networks (e.g., social, digital, or computer) has always been an important field study. In recent years, Online Social Networks (OSNs) have established as a basic means communication and often influencers opinion makers promote politics, events, brands, products through viral content. this work, we present systematic review across (i) online social influence metrics, properties, applications (ii) the role semantic modeling OSNs information. We found that both areas can jointly provide useful insights towards qualitative assessment user-generated content, well for dynamic properties content its flow dynamics.
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