01722nas a2200145   4500008004100000245011600041210006900157520113200226100001801358700002601376700002201402700002001424700001401444856011801458       2019                        eng d00aSocial Network Analysis of an Acoustic Environment: The Use of Visualised Data to Characterise Natural Habitats0 aSocial Network Analysis of an Acoustic Environment The Use of Vi3 a<p>(1) Background: Ecologists use acoustic recordings for long term environmental monitoring. However, as audio recordings are opaque, obtaining meaningful information from them is a challenging task. Calculating summary indices from recordings is one way to reduce the size of audio data, but the amount of information of summary indices is still too big. (2) Method: In this study we explore the application of social network analysis to visually and quantitatively model acoustic changes. To achieve our aim, we clustered summary indices using two algorithms, and the results were used to generate network maps. (3) Results and Discussion: The network maps allowed us to visually perceive acoustic changes in a day and to visually compare one day to another. To enable quantitative comparison, we also calculated summary values from the social network maps, including Gini coefficient (an economical concept adopted to estimate how unevenly the occurrences are distributed). (4) Conclusion: Social network maps and summary values provide insight into acoustic changes within an environment visually and quantitatively.</p>
1 aWang, Junling1 aSankupellay, Mangalam1 aKonovalov, Dmitry1 aTowsey, Michael1 aRoe, Paul  uhttps://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8943071https://ieeexplore.ieee.org/document/8945963/