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Despite the widespread use of the terms 'failure' and 'success' within social networking site (SNS) literature, determining benchmarks of either is a complex undertaking. Success and failure both are often identified according to the presence or absence of context-specific 'markers.' 'Snapshot' metrics such as network growth or activity are pointed to as indicators of a network's overall success. However, such reductive approaches oversimplify the underlying social processes. This paper presents a review of current literature, and argues for the conceptualisation of failure at the macro-level as the constraint of network actors, regarding 'success' and 'failure' as recurrent processes in the lifecycle of a social networking site rather than outcomes. It is hoped that theorising failure independent of specific markers will provide the basis for future development of predictive and analytical models to identify instances of failure in SNS case studies.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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