Abstract
Information diffusion potential of a social media user affects how quickly information about a mineral project can diffuse through that user. If management can use social media and network analysis, in community engagement program, to understand how fast and how far information will diffuse to communities and followers of particular social media users, it can selectively focus on the most influential users. This paper proposes a method to examine the information diffusion potential of social media accounts. The work uses Gephi, an open source software, to extract and analyze data from different Twitter handles to predict their information diffusion potential. The work uses case studies of real Twitter users (e.g. mining news organizations and bloggers) associated with mining to illustrate the approach. The case study results show that there are significant disparities in information diffusion potential that will demand selective attention. This research will help mines develop effective social media engagement strategies.
| Original language | American English |
|---|---|
| Journal | Proceedings of the 2018 SME Annual Conference and Expo and 91st Annual Meeting of the SME-MN Section: Vision, Innovation and Identity: Step Change for a Sustainable Future (2018, Minneapolis, MN) |
| State | Published - Feb 1 2018 |
Keywords
- Community engagement
- Economic and social effects
- Information diffusion
- Information management
- Mineral projects
- Most influential users
- Open source software
- Open systems
- Selective attention
- Social media
- Social media networks
- Social media users
- Social networking (online)
Disciplines
- Mining Engineering
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