enriched text about famous networks

src/content/docs/manual/generate.mdx

@@ -27,6 +27,50 @@ SocNetV can recreate several well-known social network datasets, including:
 - **Mexican Power Network**: Power structures in the 1940s.
 - And many more...
 
+## Datasets: Recreating Famous Social Network Datasets
+
+SocNetV allows you to recreate a variety of well-known social network datasets. These networks are commonly used in social network analysis (SNA) research and provide valuable insights into real-world relationships and structures. Here’s the list of supported datasets and their background:
+
+- **Krackhardt: High-tech Managers**  
+  A network of 21 managers in a US high-tech company. It captures advice, friendship, and hierarchical "reports-to" relationships. This dataset is frequently used to study organizational behavior and power dynamics within corporate structures.
+
+- **Padgett: Florentine Families**  
+  This Renaissance-era dataset maps marital and business ties among 16 influential families in Florence, Italy. It illustrates the interplay of economic and social alliances and highlights the Medici family's pivotal role in political stability and dominance.
+
+- **Zachary: Karate Club**  
+  A well-known network of 34 members from a university karate club, this dataset famously illustrates a social group's division into two factions following a conflict. It is a classic example in SNA research for studying community structures and group dynamics.
+
+- **Bernard: Killworth Fraternity**  
+  A multirelational dataset of 58 fraternity members, capturing various social ties such as friendships, advice, and collaborations. It is often used to analyze multiplex relationships in small, close-knit communities.
+
+- **Galaskiewicz: CEOs and Clubs**  
+  This affiliation dataset represents social and professional connections among CEOs and their spouses through memberships in exclusive clubs and corporate boards. It highlights the role of elite networks in power consolidation and influence.
+
+- **Freeman’s EIES Network**  
+  A multirelational network of 32 social scientists collaborating on the "Experimental Interpersonal Environment Study" (EIES). It captures advice, trust, and other professional relationships among participants.
+
+- **Knoke: Bureaucracies Network**  
+  A network depicting information and monetary relationships among 10 US organizations. This dataset is instrumental in studying interorganizational exchange and network governance.
+
+- **Mexican Power Network**  
+  This historical network reveals the power structure in Mexico during the 1940s, including relationships between political figures, business elites, and institutions.
+
+- **Campnet**  
+  Captures interactions among 18 individuals during a 3-week workshop. The dataset records the frequency and duration of time spent together, making it a useful case for studying informal socialization and group cohesion.
+
+- **Herschel Graph**  
+  A mathematical graph representing the smallest non-Hamiltonian polyhedral graph, with 11 nodes and 18 edges. It is a classic example in graph theory and topology studies.
+
+- **Thurman: Office Networks and Coalitions**  
+  This network represents interactions among 15 employees in an international corporation. It captures both formal organizational ties and informal coalitions, offering insights into workplace dynamics.
+
+- **Additional Datasets**  
+  SocNetV includes several other well-known datasets for research and educational purposes. These datasets are not explicitly listed here but can be explored within the application. They cover a wide range of network types, including small-world networks, scale-free graphs, random graphs, and affiliation networks. These additional datasets are valuable for studying diverse social, organizational, and mathematical phenomena.
+
+  SocNetV continues to expand its library of predefined datasets to support a variety of network analysis needs. Stay tuned for the coming releases to uncover more networks and experiment with their unique structures and properties.
+
+
+
 To recreate a dataset:
 1. From the **File** menu, select "Create Known Dataset" or press `F7`.
 2. A dialog will appear where you can select a dataset from the list above.