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- Publisher Website: 10.1007/978-3-642-01247-1_13
- Scopus: eid_2-s2.0-70350663020
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Conference Paper: Innovation in the programmable web: Characterizing the mashup ecosystem
| Title | Innovation in the programmable web: Characterizing the mashup ecosystem |
|---|---|
| Authors | |
| Keywords | API Long tail Mashup Power law Small world Social network |
| Issue Date | 2009 |
| Citation | Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2009, v. 5472 LNCS, p. 136-147 How to Cite? |
| Abstract | This paper investigates the structure and dynamics of the Web 2.0 software ecosystem by analyzing empirical data on web service APIs and mashups. Using network analysis tools to visualize the growth of the ecosystem from December 2005 to 2007, we find that the APIs are organized into three tiers, and that mashups are often formed by combining APIs across tiers. Plotting the cumulative distribution of mashups to APIs reveals a power-law relationship, although the tail is short compared to previously reported distributions of book and movie sales. While this finding highlights the dominant role played by the most popular APIs in the mashup ecosystem, additional evidence reveals the importance of less popular APIs in weaving the ecosystem's rich network structure. © 2009 Springer Berlin Heidelberg. |
| Persistent Identifier | http://hdl.handle.net/10722/366068 |
| ISSN | 2023 SCImago Journal Rankings: 0.606 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yu, Shuli | - |
| dc.contributor.author | Woodard, C. Jason | - |
| dc.date.accessioned | 2025-11-14T07:15:07Z | - |
| dc.date.available | 2025-11-14T07:15:07Z | - |
| dc.date.issued | 2009 | - |
| dc.identifier.citation | Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2009, v. 5472 LNCS, p. 136-147 | - |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/366068 | - |
| dc.description.abstract | This paper investigates the structure and dynamics of the Web 2.0 software ecosystem by analyzing empirical data on web service APIs and mashups. Using network analysis tools to visualize the growth of the ecosystem from December 2005 to 2007, we find that the APIs are organized into three tiers, and that mashups are often formed by combining APIs across tiers. Plotting the cumulative distribution of mashups to APIs reveals a power-law relationship, although the tail is short compared to previously reported distributions of book and movie sales. While this finding highlights the dominant role played by the most popular APIs in the mashup ecosystem, additional evidence reveals the importance of less popular APIs in weaving the ecosystem's rich network structure. © 2009 Springer Berlin Heidelberg. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics | - |
| dc.subject | API | - |
| dc.subject | Long tail | - |
| dc.subject | Mashup | - |
| dc.subject | Power law | - |
| dc.subject | Small world | - |
| dc.subject | Social network | - |
| dc.title | Innovation in the programmable web: Characterizing the mashup ecosystem | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1007/978-3-642-01247-1_13 | - |
| dc.identifier.scopus | eid_2-s2.0-70350663020 | - |
| dc.identifier.volume | 5472 LNCS | - |
| dc.identifier.spage | 136 | - |
| dc.identifier.epage | 147 | - |
| dc.identifier.eissn | 1611-3349 | - |