sim_networks.zip

10000 simulated networks, obtained by selecting at random a generating function between three different well-known models (Erdos Renyi, Barabasi-Albert, and Watts-Strogatz). In ER networks we set the number of nodes (V) to a random integer in [50, 500] and the number of edges to a random integer in [V, 1000]. In BA networks, we set the number of nodes to a random integer in [500, 1000], and the number of outgoing edges generated for each node to (V x r x 0.01 + 1), with V being the number of nodes, and r being a random real number in [0,1]. In WS networks, we set the dimension of the lattice to 1, the size of the lattice along all dimensions to a random integer in [50, 250], the distance within two nodes are connected to a random integer in [2,10], and the rewiring probability to a random real number in [0,1]. In addition, we generated networks with a degree distribution following a power law with exponent varying between 2 and 3 using the configuration model.<br>

本数据集包含10000个仿真网络，通过从三类经典知名网络模型——厄多斯-雷尼（Erdos Renyi）、巴拉巴西-阿尔伯特（Barabasi-Albert）与瓦茨-斯特罗加茨（Watts-Strogatz）——中随机选取生成函数构建而成。
针对厄多斯-雷尼（ER）网络，我们将节点数（V）设置为[50, 500]区间内的随机整数，边数设置为[V, 1000]区间内的随机整数。对于巴拉巴西-阿尔伯特（BA）网络，我们将节点数设置为[500, 1000]区间内的随机整数，为每个节点生成的出边数目为(V × r × 0.01 + 1)，其中V为节点总数，r为[0, 1]区间内的随机实数。在瓦茨-斯特罗加茨（WS）网络的构建中，我们将晶格维度设为1，各维度上的晶格尺寸设为[50, 250]区间内的随机整数，两节点间的连接距离设为[2, 10]区间内的随机整数，重连概率设为[0, 1]区间内的随机实数。
此外，我们还通过配置模型（configuration model）生成了一批度分布服从幂律分布（power law）的网络，其幂律指数的取值范围为2至3。