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Role-Aware Information Spread in Online Social Networks
Alon Bartal1, Kathleen M Jagodnik1
1The School of Business Administration, Bar-Ilan University, Ramat Gan 5290002, Israel.
Entropy (Basel, Switzerland)
|November 27, 2021
Summary
This study surveys role-aware information spread in online social networks (OSNs), analyzing viral and non-viral content dynamics and user behaviors. It highlights modeling approaches and applications for understanding information diffusion.
Area of Science:
- Computer Science
- Social Network Analysis
- Information Science
Background:
- Existing reviews on information spread in online social networks (OSNs) primarily focus on viral content and local cascading paths.
- These reviews often overlook the spread of non-viral information and the diverse roles users play in information dissemination.
- The global spread of information beyond direct network links, through mechanisms like content recommendation algorithms, is underexplored.
Purpose of the Study:
- To provide a comprehensive survey of role-aware information spread in OSNs, considering both viral and non-viral content.
- To analyze different temporal spreading patterns and user roles in information diffusion.
- To review and categorize modeling approaches for information spread, including structural, non-structural, and hybrid features.
Main Methods:
- Systematic literature review of recent studies on role-aware information spread in OSNs.
- Analysis of temporal spreading patterns for viral and non-viral information.
- Taxonomy of modeling approaches based on structural, non-structural, and hybrid features.
- Review of software platforms for analyzing and visualizing information spread.
Main Results:
- Identified gaps in existing research regarding non-viral information spread and user roles.
- Surveyed various modeling approaches, offering a taxonomy for their classification.
- Highlighted the utility of information spread models in applications like influential user detection.
- Reviewed available software tools for analyzing role-aware information spread.
Conclusions:
- Emphasizes the need to account for dynamic user roles and diverse spreading patterns (viral/non-viral) in OSN information diffusion models.
- Suggests future research directions for a more holistic understanding of information spread in online social networks.
- Underscores the practical applications of advanced information spread models in OSNs.
Keywords:
global information spreadinformation diffusionlocal information spreadnon-viral information spreadonline social networksrole-aware analysissocial rolesuser behavior onlineviral information spreadMore Related Videos
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