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Exploring the complex pattern of information spreading in online blog communities
Sen Pei1, Lev Muchnik2, Shaoting Tang3
1Laboratory of Mathematics, Informatics and Behavioral Semantics, and School of Mathematics and Systems Science, Beihang University, Beijing, China; Levich Institute and Physics Department, City College of New York, New York, USA.
Plos One
|May 19, 2015
Summary
Information spreads online via social spreading, self-promotion, and broadcast mechanisms. Most users favor one method, with social spreading significantly impacting information diffusion patterns.
Area of Science:
- Social Network Analysis
- Information Diffusion Studies
- Online Community Dynamics
Background:
- Information spreading in online social communities is vital for practical applications.
- Existing research lacks detailed understanding of information diffusion patterns.
- Individual-level diffusion data has been studied, but macro-level patterns remain unclear.
Purpose of the Study:
- To investigate and understand the detailed spreading patterns of information in online social communities.
- To identify and differentiate the mechanisms driving information diffusion.
- To compare the effectiveness of existing diffusion models with observed real-world patterns.
Main Methods:
- Comparative analysis of information flows and social links within a blog community.
- Observation and categorization of user behaviors related to information dissemination.
- Evaluation of epidemic spreading models against empirical diffusion data.
Main Results:
- Identified three distinct information diffusion mechanisms: social spreading, self-promotion, and broadcast.
- Observed that most users consistently adhere to a single diffusion mechanism.
- Found that epidemic spreading models do not accurately reproduce realistic diffusion patterns.
- Demonstrated that social spreading is critical for diffusion tree structure and information acquisition.
Conclusions:
- User behavior significantly influences information diffusion, with individuals often specializing in one mechanism.
- Social spreading plays a key role in information propagation and network structure.
- New models are needed to accurately capture information diffusion dynamics based on user behavior.
- Findings can inform the design of more effective information propagation strategies.
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