Name
Abstract | ||
|---|---|---|
The platform business has had a profound impact on traditional industries such as real estate, telecommunications, and retail. It is a type of business that makes the most of the potential of the network effect. The authors conducted the current research to contribute to understanding public perception of platform business. In this study, tweets from Twitter and news articles were collected using LexisNexis database and examined through Semantic Network Analysis (SNA). The results of the two media did not show significant differences but we may conclude that the public is still in the process of building awareness about platform business.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3325426.3330288 | Proceedings of the 5th ACM Workshop on Mobile Systems for Computational Social Science |
Keywords | Field | DocType |
platform business, semantic network analysis, text mining | World Wide Web,Computer science | Conference |
ISBN | Citations | PageRank |
978-1-4503-6777-6 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyungbo Shim | 1 | 749 | 70.52 |
| Minjoo Yoo | 2 | 0 | 0.34 |
| Jang Hyun Kim | 3 | 98 | 8.71 |