A practical model for analyzing long tails
Bibliographic Data
| ID | 15115993 |
|---|---|
| Authors | Kalevi Kilkki (Nokia (Netherlands), corresponding author) |
| Year | 2007 |
| Publication date | 2007-05-07 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | First Monday (JOURNAL) |
| Journal identifiers | ISSN: 1396-0458 • E-ISSN: 1396-0466 |
| Publisher | University of Illinois Libraries (PUBLISHER) |
| DOI | 10.5210/fm.v12i5.1832 |
| OpenAlex | W2127505935 |
| Language | EN |
| Citations received | 1 |
This article provides a simple formula and a practical methodology for analyzing long tails. The same model can be applied to topics as diverse as books, search phrases, size of companies, and geographical distribution of populations. This article makes it possible for anyone to utilize the long tail concept not only as a general idea, but also as a tool to make realistic and useful analyses of real phenomena
Data science · Economics · Epistemology · Long tail · Management science · Statistics · Business Strategy and Innovation · Complex Systems and Time Series Analysis · Computer Science · Mathematics · Opinion Dynamics and Social Influence
| Citations per year | 0.08 |
|---|---|
| Citation span | 2013 - 2013 (1) |
| Highly cited | No |