Mesoebene
Auf der Mesoebene (organisationelles Netzwerk) sind Organisationen, Unternehmen, Behörden oder auch Gemeinden enthalten. Der Fokus liegt hier auf der Betrachtung von Gruppen als Akteuren und nicht wie auf der Mikroebene auf Einzelpersonen. Ein Mesosystem umfasst die Wechselbeziehungen zwischen den Lebensbereichen, an denen eine Person aktiv beteiligt ist. In einem Lebensbereich oder in mehreren Lebensbereichen können Ereignisse stattfinden, die beeinflussen, was im Lebensbereich einer sich entwickelnden Person passiert.
https://de.wikipedia.org/wiki/Netzwerkforschung



Visualization of social network analysis
Social network analysis examines the structure of relationships between social entities. These entities are often persons, but may also be groups, organizations, nation states, web sites, or scholarly publications.

Since the 1970s, the empirical study of networks has played a central role in social science, and many of the mathematical and statistical tools used for studying networks have been first developed in sociology.[10] Amongst many other applications, social network analysis has been used to understand the diffusion of innovations, news and rumors. Similarly, it has been used to examine the spread of both diseases and health-related behaviors. It has also been applied to the study of markets, where it has been used to examine the role of trust[citation needed] in exchange relationships and of social mechanisms in setting prices. Similarly, it has been used to study recruitment into political movements and social organizations. It has also been used to conceptualize scientific disagreements as well as academic prestige. More recently, network analysis (and its close cousin traffic analysis) has gained a significant use in military intelligence, for uncovering insurgent networks of both hierarchical and leaderless nature.
https://en.wikipedia.org/wiki/Network_theory

Social network analysis

Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory.[1] It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them. Examples of social structures commonly visualized through social network analysis include social media networks, memes spread, friendship and acquaintance networks, collaboration graphs, kinship, disease transmission, and sexual relationships.[4][5] These networks are often visualized through sociograms in which nodes are represented as points and ties are represented as lines.

Social network analysis has emerged as a key technique in modern sociology. It has also gained a significant following in anthropology, biology, demography, communication studies, economics, geography, history,[6] information science, organizational studies, political science, social psychology, development studies, sociolinguistics, and computer science and is now commonly available as a consumer tool (see the list of SNA software)
https://en.wikipedia.org/wiki/Social_network_analysis