# Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automated-discovery-of-lead-users-and-latent-product-features-by-mining-large/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Suppawong Tuarob,Conrad S. Tucker |
| Citations | 78 |
| DOI | 10.1115/1.4030049 |
| Fields | Computer Science,Physics and Astronomy,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2133729329 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Conrad S. Tucker](https://scholariq.org/researchers/conrad-s-tucker/)

## Paper primary topic

- [Digital Marketing and Social Media](https://scholariq.org/topics/digital-marketing-and-social-media/)

## Paper topics

- [Digital Marketing and Social Media](https://scholariq.org/topics/digital-marketing-and-social-media/)
- [Complex Network Analysis Techniques](https://scholariq.org/topics/complex-network-analysis-techniques/)
- [Mobile Crowdsensing and Crowdsourcing](https://scholariq.org/topics/mobile-crowdsensing-and-crowdsourcing/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.