iWiW_town_network

The data is stored in two csv files. 1. iWiW_town_nodes.csv includes characteristics of 2558 towns. The file is structured into 7 coloumns as follows: “id” – key to match node characteristics into edgelist. “town” – name of towns. “user” – number of registered iWiW users in the town. “pop” – number of inhabitants in the town. “latitude” – geo-coordinates (latitude) of the town. “longitude” – geo-coordinates (longitude) of the town. “code” – unique identifier of the town in databases of the Hungarian Statistical Office. This key can be used to match the data with further town characteristics. 2. iWiW_town_edges.csv includes “id1” – identifier of town i, which can be used as a key to match node characteristics into edgelist. “id2” – identifier of town j, which can be used as a key to match node characteristics into edgelist. “connect” – the number of friendship ties between towns i and j.本数据集存储于两个CSV文件中。 1. iWiW_town_nodes.csv 包含2558个城镇的特征信息。该文件共设7列，具体结构如下： "id"：用于将节点特征匹配至边列表的键值。 "town"：城镇名称。 "user"：该城镇注册的iWiW用户数量。 "pop"：该城镇的常住人口数。 "latitude"：城镇的地理坐标（纬度）。 "longitude"：城镇的地理坐标（经度）。 "code"：匈牙利统计局数据库中城镇的唯一标识符，可用于将本数据集与其他城镇特征数据进行关联匹配。 2. iWiW_town_edges.csv 包含以下字段： "id1"：城镇i的标识符，可作为键值将节点特征匹配至边列表。 "id2"：城镇j的标识符，可作为键值将节点特征匹配至边列表。 "connect"：城镇i与城镇j之间的好友关系联结数量。