Small world networks and creativity in audio clip sharing

Roma, Gerard; Herrera, Perfecto; Zanin, Massimiliano; Toral, S. L.; Font, Frederic; Serra, Xavier

doi:10.1504/ijsnm.2012.045108

Cited by 7 publications

(3 citation statements)

References 27 publications

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“…Inside the Music Technology Group there have been publications dealing with topics such as soundscape generation and content-based audio-clip classification [7,4], database discovery [9], community characterization and network analysis [8] or folksonomy analysis and tag recommendation [2,3]. Moreover, outside the Music Technology Group Freesound data has also been used for research on creative interfaces, composition [1,10], annotation of environmental sounds [6] and statistical methods for dimensionality reduction (using freesound data without considering domain-specific information, [5]).…”

Section: Freesound As a Resource For Researchmentioning

confidence: 99%

Freesound technical demo

Font

Roma

Serra

2013

Proceedings of the 21st ACM International Conference on Multimedia

Self Cite

242

131

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Freesound 1 is an online collaborative sound database where people with diverse interests share recorded sound samples under Creative Commons licenses. It was started in 2005 and it is being maintained to support diverse research projects and as a service to the overall research and artistic community.In this demo we want to introduce Freesound to the multimedia community and show its potential as a research resource. We begin by describing some general aspects of Freesound, its architecture and functionalities, and then explain potential usages that this framework has for research applications.

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Section: Freesound As a Resource For Researchmentioning

confidence: 99%

Freesound technical demo

Font

Roma

Serra

2013

Proceedings of the 21st ACM International Conference on Multimedia

Self Cite

242

131

View full text Add to dashboard Cite

show abstract

“…The motivations for people to record and upload sounds to these sites are likely to be related to social factors. In Roma, Herrera, Zanin, Toral, Font, and Serra (2012) the authors describe several networks that can be extracted from user activities in these systems. They propose the notion of creativity as an objective for this kind of community, and how some indicators of creativity can be extracted.…”

Section: Business Potential For Community Structure Discoverymentioning

confidence: 99%

A Review of Machine Learning and Data Mining Approaches for Business Applications in Social Networks

Trandafili

Biba

2013

International Journal of E-Business Research

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Social networks have an outstanding marketing value and developing data mining methods for viral marketing is a hot topic in the research community. However, most social networks remain impossible to be fully analyzed and understood due to prohibiting sizes and the incapability of traditional machine learning and data mining approaches to deal with the new dimension in the learning process related to the large-scale environment where the data are produced. On one hand, the birth and evolution of such networks has posed outstanding challenges for the learning and mining community, and on the other has opened the possibility for very powerful business applications. However, little understanding exists regarding these business applications and the potential of social network mining to boost marketing. This paper presents a review of the most important state-of-the-art approaches in the machine learning and data mining community regarding analysis of social networks and their business applications. The authors review the problems related to social networks and describe the recent developments in the area discussing important achievements in the analysis of social networks and outlining future work. The focus of the review in not only on the technical aspects of the learning and mining approaches applied to social networks but also on the business potentials of such methods.

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“…Such balance between short-and long-range connectivities is altered in the Alzheimer's disease, both in patients [6,7] and in control subjects carrying genetic variations used as biomarkers [8]; similar results were also obtained for individuals suffering from Mild Cognitive Impairment [9,10], the prodromal stage of Alzheimer's. Beyond biology, small-worldness has been applied to the analysis of terrorists social networks [11], of audio clip sharing communities [12], up to as a criteria for organising datacenters [13], among others.…”

Section: Introductionmentioning

confidence: 99%

On alternative formulations of the small-world metric in complex networks

Zanin¹

2015

Preprint

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Small-world networks, i.e. networks displaying both a high clustering coefficient and a small characteristic path length, are obliquitous in nature. Since their identification, the "small-worldness" metric, as proposed by Humphries and Gurney, has frequently been used to detect such structural property in real-world complex networks, to a large extent in the study of brain dynamics. Here I discuss several of its drawbacks, including its lack of definition in disconnected networks and the impossibility of assessing a statistical significance; and present different alternative formulations to overcome these difficulties, validated through the phenospaces representing a set of 48 real networks.

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Small world networks and creativity in audio clip sharing

Cited by 7 publications

References 27 publications

Freesound technical demo

Freesound technical demo

A Review of Machine Learning and Data Mining Approaches for Business Applications in Social Networks

On alternative formulations of the small-world metric in complex networks

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