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.