Symbolic association networks: A case study of orchestral programming’s effect on the reputation of composers

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY Social Networks Pub Date : 2024-08-07 DOI:10.1016/j.socnet.2024.08.001
L.E.A. Braden , Ju Hyun Park , Jay Lee
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引用次数: 0

Abstract

A type of symbolic association network for the development of reputation is described and tested. Associations between people in these networks are not based on individual interaction, but rather are created by “reputational entrepreneurs” based on perceived symbolic association between people. We argue the intent of this type of connection is to add to the reputational information about those connected and we test whether a network of such associations influence cultural recognition. To do this, we use dyadic connections between classical music composers created by conductors for orchestra performance and determine whether a composer’s symbolic association network (SAN) aids recognition in publications. We find SANs to have a significant impact on the extent of reputational recognition, even when holding a composer’s individual status achievements constant. Composers with a large symbolic association network and those who bridge unconnected composers tend to receive more recognition. We discuss the influence of symbolic association networks on perception of reputational significance. We suggest SANs may advance research in reputation and culture particularly when considering actors whose reputation is active beyond their work or lifetime, such as artists, writers, musicians, and historical figures.

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符号关联网络:管弦乐节目对作曲家声誉影响的案例研究
本文描述并测试了一种用于发展声誉的符号关联网络。在这些网络中,人与人之间的联系并非基于个体互动,而是由 "声誉企业家 "根据人们感知到的人与人之间的象征性联系创建的。我们认为,这种联系的目的是增加联系者的声誉信息,并检验这种联系网络是否会影响文化认可度。为此,我们利用指挥家为乐团演出创建的古典音乐作曲家之间的双向联系,来确定作曲家的符号关联网络(SAN)是否有助于出版物的识别。我们发现,即使作曲家的个人地位成就保持不变,符号关联网络也会对声誉认可度产生重大影响。拥有庞大象征性关联网络的作曲家和那些为没有关联的作曲家牵线搭桥的作曲家往往会获得更多的认可。我们讨论了符号关联网络对声誉重要性认知的影响。我们认为,符号关联网络可以推动声誉和文化方面的研究,尤其是在考虑那些声誉活跃于其作品或一生之外的行为者(如艺术家、作家、音乐家和历史人物)时。
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来源期刊
Social Networks
Social Networks Multiple-
CiteScore
5.90
自引率
12.90%
发文量
118
期刊介绍: Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
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