Musical preference in an online music community in China

Zhang, Jintong; Hu, Haibo

doi:10.1007/s13278-022-00866-z

Cited by 3 publications

(4 citation statements)

References 41 publications

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“…They suggested that the network of composers might have fostered the emergence of particular musical movements and styles, as it allowed for the sharing of ideas and collaboration. Watson (2012), Budner and Grahl (2016), and Zhang and Hu (2021) repeated this perspective by demonstrating that the music industry's collaboration network follows a scale-free topology, confirming the occurrence of the long-tail phenomenon.…”

Section: Power Law Distributions and Long Tails In The Music Producti...mentioning

confidence: 66%

“…Power law distribution describes networks in which many nodes are significantly more connected than others (Benner and Waldfogel 2023). In the context of the music industry, this indicates that a few artists or pieces may enjoy extensive connections and popularity, overshadowing the rest (Zhang and Hu 2021;Bagley et al 2022). Gunaratna et al (2011) observed this in their study of Brazilian music, noting that collaborations between musicians and composers followed a power law distribution.…”

Section: Power Law Distributions and Long Tails In The Music Producti...mentioning

confidence: 99%

“…It refers to the pattern wherein a few entities accumulate significant popularity or success while the majority remain relatively unknown (Grando et al 2018;Benner and Waldfogel 2023). This pattern often emerges due to differences in network connections and popularity among nodes (Zhang and Hu 2021). McAndrew and Everett (2015) brought this concept to light in their exploration of British composers.…”

Section: Power Law Distributions and Long Tails In The Music Producti...mentioning

confidence: 99%

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Collaboration and Competition: A Social Network Analysis of Thailand’s Music Industry

Peechapat,

Puttanapong

2024

Economies

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This study quantitatively investigates the collaborative framework and competitive landscape of Thailand’s evolving music industry, driven by technological progress and changing consumer preferences. By examining data obtained from Thailand’s Department of Intellectual Property, specifically 138,868 songs, it explores the complex network of relationships among music creators, artists, and various rights-holders, including those associated with recording, music, melodies, and lyrics. Utilizing social network analysis, this research uncovers a power law distribution in these networks, reflecting a scale-free market configuration. This characteristic is marked by a few dominant players exercising considerable market influence, contrasted with numerous less-interconnected participants. This investigation notes regular patterns of collaboration between artists and different rights-holders. Furthermore, the network of music creators displays small-world properties, with short collaborative distances fostering efficient information exchange and creative synergy. Crucially, this study identifies key influential players instrumental in directing the industry’s major trends, highlighting their role in market concentration. These significant findings will provide critical evidence for informing future policy development aimed at improving efficiency and equity in the digital content industries.

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Section: Power Law Distributions and Long Tails In The Music Producti...mentioning

confidence: 66%

Section: Power Law Distributions and Long Tails In The Music Producti...mentioning

confidence: 99%

Section: Power Law Distributions and Long Tails In The Music Producti...mentioning

confidence: 99%

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Collaboration and Competition: A Social Network Analysis of Thailand’s Music Industry

Peechapat,

Puttanapong

2024

Economies

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“…The process of visualization communication, which combines auditory elements with visual elements in videos, is an important factor affecting ethnic music communication on short video platforms [8,9]. The users' behaviors, preferences, and communication effects are analyzed in a specific music social platform [10]. Based on the research on regional culture communication on short video platforms, the regional image construction methods have been discussed [11].…”

Section: Literature Reviewmentioning

confidence: 99%

Visualization Communication of Ethnic Music on Short Video Platforms A Case Study of the Mongolian Music on Douyin

Lyu¹

2022

Proceedings of the 2022 5th International Conference on Humanities Education and Social Sciences (ICHESS 2022)

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Ethnic music embodies the essence of ethnic cultures and its dissemination and protection are important in the era of short videos. Traditional minority cultures encounter corresponding communication difficulties in the new media environment. Based on the short video platform Douyin, this paper analyses the situation of ethnic music and its interaction with audiences and takes the Mongolian music as a specific case. Ethnic music short videos on this platform combine audio and visual elements, which makes the video contain more information about ethnic culture. Some representative cases are analysed in terms of their audio and visual content. Moreover, based on a survey of the users on Douyin, users' habit of using ethnic music and their attitudes have been reflected. Therefore, the trend of ethnic music can be predicted. In the future communication process, short video platforms and music producers should use different communication methods to preserve cultural diversity.

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Chinese Ethnic Music Classification by Hybrid 1D-Convolutional Neural Networks and Bidirectional Gated Recurrent Unit

Wang

2024

2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)

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Musical preference in an online music community in China

Cited by 3 publications

References 41 publications

Collaboration and Competition: A Social Network Analysis of Thailand’s Music Industry

Collaboration and Competition: A Social Network Analysis of Thailand’s Music Industry

Visualization Communication of Ethnic Music on Short Video Platforms A Case Study of the Mongolian Music on Douyin

Chinese Ethnic Music Classification by Hybrid 1D-Convolutional Neural Networks and Bidirectional Gated Recurrent Unit

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