{"title":"Visualizing the gay community in Beijing with location-based social media","authors":"Bo Zhao, D. Sui, Zhaohui Li","doi":"10.1177/0308518X16685885","DOIUrl":null,"url":null,"abstract":"Compared with the growing worldwide social acceptance of the lesbian, gay, bisexual, and transgender (LGBT) community (Brown and Knopp, 2008; Ferreira and Salvador, 2015; Gates and Ost, 2004), discussions of LGBT-related matters are still a taboo in China. To raise public awareness of this community, we aim to estimate the distribution of gay people in Beijing using location-based social media (LBSM) feeds. To do that, we collected the gay population data from a popular LBSM app – Jack’d. As an app dedicated to gay social networking, Jack’d primarily attracts the use of gay people. A user who launches the location-based function will leave a geolocation (in the format of a pair of coordinates) in the Jack’d database. On 28 September (Wednesday) 2016, we retrieved the geolocations of active users every 6 hours from the Jack’d database via an API (Burrell et al., 2012). As a result, we had 5209 users at 00:00, 1006 users at 06:00, 4972 users at 12:00, 5543 users at 18:00, and 5214 users at 00:00 of the next day. For each sample, we created a fishnet-grid map layer through aggregating the geolocations into equal area hexagons (each edge of the hexagon is 300 meters in length) by QGIS. By ordering these five map layers into a time sequence, we transformed the layers into several space–time volume elements (voxels) by Voxler. The voxels were rendered in a rainbow-like color ramp using a ray-casting algorithm (Roth, 1982). This algorithm simulates the mechanism of a ray travelling from the eye of an observer to the observing object. Here, an observing object is modeled by a system of numerous tiny points. The ray, cast from the eye of the observer, travels through the points. Only the points along the rays are visualized. This algorithm can represent a much clearer texture of a voxel (Hoang et al., 2016). Moreover, in order to illustrate the core portion of the gay community, we visualized a set of net surfaces made by points of an equal value (seven users per sampling unit in space–time). And, a base layer of Beijing city (created in QGIS) was overlaid on the bottom of the voxels; the axes and labels were post-processed in Adobe illustrator.","PeriodicalId":11906,"journal":{"name":"Environment and Planning A","volume":"33 1","pages":"977 - 979"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environment and Planning A","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0308518X16685885","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Compared with the growing worldwide social acceptance of the lesbian, gay, bisexual, and transgender (LGBT) community (Brown and Knopp, 2008; Ferreira and Salvador, 2015; Gates and Ost, 2004), discussions of LGBT-related matters are still a taboo in China. To raise public awareness of this community, we aim to estimate the distribution of gay people in Beijing using location-based social media (LBSM) feeds. To do that, we collected the gay population data from a popular LBSM app – Jack’d. As an app dedicated to gay social networking, Jack’d primarily attracts the use of gay people. A user who launches the location-based function will leave a geolocation (in the format of a pair of coordinates) in the Jack’d database. On 28 September (Wednesday) 2016, we retrieved the geolocations of active users every 6 hours from the Jack’d database via an API (Burrell et al., 2012). As a result, we had 5209 users at 00:00, 1006 users at 06:00, 4972 users at 12:00, 5543 users at 18:00, and 5214 users at 00:00 of the next day. For each sample, we created a fishnet-grid map layer through aggregating the geolocations into equal area hexagons (each edge of the hexagon is 300 meters in length) by QGIS. By ordering these five map layers into a time sequence, we transformed the layers into several space–time volume elements (voxels) by Voxler. The voxels were rendered in a rainbow-like color ramp using a ray-casting algorithm (Roth, 1982). This algorithm simulates the mechanism of a ray travelling from the eye of an observer to the observing object. Here, an observing object is modeled by a system of numerous tiny points. The ray, cast from the eye of the observer, travels through the points. Only the points along the rays are visualized. This algorithm can represent a much clearer texture of a voxel (Hoang et al., 2016). Moreover, in order to illustrate the core portion of the gay community, we visualized a set of net surfaces made by points of an equal value (seven users per sampling unit in space–time). And, a base layer of Beijing city (created in QGIS) was overlaid on the bottom of the voxels; the axes and labels were post-processed in Adobe illustrator.
与世界范围内对女同性恋、男同性恋、双性恋和跨性别(LGBT)群体日益增长的社会接受度相比(Brown and Knopp, 2008;费雷拉和萨尔瓦多,2015;Gates and Ost, 2004),关于lgbt相关话题的讨论在中国仍然是一个禁忌。为了提高公众对这个群体的认识,我们的目标是使用基于位置的社交媒体(LBSM)来估计北京同性恋人群的分布。为了做到这一点,我们从一个流行的LBSM应用程序——杰克收集了同性恋人口的数据。作为一款致力于同性恋社交网络的应用,Jack 'd主要吸引同性恋者使用。启动基于位置的功能的用户将在Jack 'd数据库中留下一个地理位置(以一对坐标的格式)。2016年9月28日(周三),我们通过API从Jack 'd数据库中每6小时检索一次活跃用户的地理位置(Burrell等人,2012)。结果,我们在00:00有5209个用户,在06:00有1006个用户,在12:00有4972个用户,在18:00有5543个用户,在第二天00:00有5214个用户。对于每个样本,我们通过QGIS将地理位置聚合成等面积的六边形(六边形的每条边长度为300米),创建了一个渔网网格地图层。通过将这五个地图层按时间顺序排列,我们通过Voxler将这些层转换成几个时空体积元素(体素)。使用光线投射算法(Roth, 1982)将体素渲染成彩虹状的颜色渐变。该算法模拟了光线从观察者的眼睛传播到观察对象的机制。在这里,一个观测对象是由许多微小点组成的系统来建模的。从观察者的眼睛射出的光线穿过这些点。只有沿着射线的点是可视化的。该算法可以表示更清晰的体素纹理(Hoang et al., 2016)。此外,为了说明同性恋社区的核心部分,我们可视化了一组由等值点组成的网面(时空中每个采样单位有7个用户)。在体素的底部叠加一个北京城市(在QGIS中创建)的基础层;轴和标签在Adobe illustrator中进行后处理。