Literature Survey on Interplay of Topics, Information Diffusion and Connections on Social Networks
arXiv:1706.00921
Abstract
Researchers have attempted to model information diffusion and topic trends and lifecycle on online social networks. They have investigated the role of content, social connections and communities, familiarity and behavioral similarity in this context. The current article presents a survey of representative models that perform topic analysis, capture information diffusion, and explore the properties of social connections in the context of online social networks. The article concludes with a set of outlines of open problems and possible directions of future research interest. This article is intended for researchers to identify the current literature, and explore possibilities to improve the art.
References in corpus (11)
- Fast unfolding of communities in large networks
- Modularity and community structure in networks
- De-anonymizing Social Networks
- Finding local community structure in networks
- New Model of Internet Topology Using k-shell Decomposition
- MEDUSA - New Model of Internet Topology Using k-shell Decomposition
- Hierarchical relational models for document networks
- The Role of Social Networks in Information Diffusion
- "Birds of a Feather": Does User Homophily Impact Information Diffusion in Social Media?
- User-level sentiment analysis incorporating social networks
- Spatio-Temporal Analysis of Topic Popularity in Twitter