Collection of datasets (Karate, Football, Dolphin, PolBook, PolBlog, Email, YouTube, and DBLP) for community detection in social networks based on the integration of k-means and the discrete grasshopper optimization algorithm

Description of used Datasets: · Zachary Karate Club (Karate): This dataset, collected by Wayne Zachary in 1977, represents the social network of members in a university Karate club. Each node represents a club member, and edges denote contact or interaction between members. · Bottlenose Dolphin (Dolphin): This dataset represents the social interactions of 62 dolphins in New Zealand's Doubtful Sound. It is an undirected network with two main communities, where the larger group is further subdivided into smaller groups. · American Football (Football): The American Football dataset captures games played between 115 Division IA teams during the 2000 Fall season. Each node represents a team, and edges represent games between teams. The teams are grouped into 12 conferences, with more frequent games occurring within each conference. · Political Books (Polbooks): The Polbooks dataset includes 105 nodes representing books about U.S. politics sold on Amazon around the 2004 presidential election. Edges indicate that the same customers frequently bought these books together. · Political Blogs (Polblogs): This dataset includes 1490 blogs about US politics, created by Adamic and Glance in 2005. Each node represents a blog classified as either liberal or conservative. Edges represent links between blogs. · Email-Eu (Email): The Email-Eu dataset represents email communication trends within a large European research institution. It records email exchanges between individuals over time, providing insights into the dynamics and organization of the communication network. · YouTube (Com-YouTube): The Com-YouTube dataset represents the social network of YouTube users, where nodes correspond to users and edges denote friendship or subscription relationships. This large-scale dataset captures the structure of an online video-sharing community, supporting studies on community detection, link prediction, and user interaction patterns. · DBLP: The DBLP dataset is a network of academic article citations, containing information about authors, titles, and publication venues. It is commonly used for tasks such as topic modelling, influence analysis, and author clustering.所用数据集说明： · 扎克瑞空手道俱乐部数据集（Zachary Karate Club, Karate）：该数据集由韦恩·扎克瑞（Wayne Zachary）于1977年收集，刻画了某大学空手道俱乐部成员的社交网络。其中每个节点代表一名俱乐部成员，边则表示成员间存在接触或互动行为。 · 宽吻海豚社交网络数据集（Bottlenose Dolphin, Dolphin）：该数据集记录了新西兰怀疑湾内62只宽吻海豚的社交互动情况，是一个无向网络，包含两个主要社群，其中较大的社群还可进一步划分为若干子群体。 · 美式橄榄球数据集（American Football, Football）：该数据集收录了2000年秋季赛季中115支IA分区美式橄榄球队的对战记录。每个节点代表一支球队，边代表两队之间的比赛。所有球队被划分为12个联盟，同一联盟内的赛事对战频率显著更高。 · 政治书籍数据集（Political Books, Polbooks）：该数据集包含105个节点，对应2004年美国总统大选前后在亚马逊平台上架的美国政治类书籍。边代表两类书籍曾被同一顾客高频次共同购买。 · 政治博客数据集（Political Blogs, Polblogs）：该数据集由阿达米克（Adamic）与格朗斯（Glance）于2005年构建，包含1490个与美国政治相关的博客站点。每个节点代表一个博客，被划分为自由派或保守派两类；边则代表博客间的链接关系。 · 欧洲科研机构邮件通信数据集（Email-Eu, Email）：该数据集刻画了某大型欧洲科研机构内部的邮件通信趋势，记录了不同个体间随时间变化的邮件往来情况，可用于分析通信网络的动态特征与组织架构。 · YouTube社交网络数据集（Com-YouTube）：该数据集代表YouTube用户的社交网络，节点对应平台用户，边代表好友关系或订阅关系。作为大规模数据集，它完整捕捉了在线视频分享社区的网络结构，可用于社群检测、链接预测以及用户互动模式等相关研究。 · DBLP学术引文网络数据集（DBLP）：该数据集为学术论文引文网络，涵盖作者、论文标题以及发表场所（venue）相关信息，常被用于主题建模、影响力分析以及作者聚类等研究任务。