Social fabric is made up of a network of individuals or groups connected by one or more specific types of interdependency, such as friendship, kinship, common interest, financial exchange, sexual relationships or relationships of beliefs, knowledge or prestige (Wasserman and Faust 1994; Freeman 2004).
A social network refers to a social structure that is made up of individuals, organizations, communities, or towns which are connected by one or more specific types of interdependency, such as friendship, financial exchange, social exchange, product exchange, and/or resource exchange.
A social network is a social structure composed of individuals (or organisations) called "nodes", which are tied (connected) by one or more specific types of interdependency, such as friendship, kinship, financial exchange, dislike, sexual relationships, or relationships of beliefs, knowledge or prestige.
The market interactions capture the various types of interdependencies through supply demand mechanisms.
A network is a social structure composed of individuals (or organizations) called nodes that are connected by one or more types of interdependencies (e.g., professional, friendship, kinship).
Numerical experiments are conducted to illustrate the capability of the model to capture various types of interdependencies and to provide insights on the importance of these interdependencies for real-world problems.
This type of functional interdependency between RNAPII levels and exosome degradation may also underlie the regulation of divergent transcripts by H2A.Z and the exosome in mouse ESCs, as well as other cases where transcription and mRNA degradation appear to be linked (Haimovich et al., 2013; Sun et al., 2013).
The social networks represent complex networks that contain a lot of people with a specific type of connection or interdependencies between them (friendship, business relations, community, etc).
Whilst measuring the central tendency of the group across trials reduces the problems of interdependency of the data and type-two clustering errors [34], the cost is a substantial reduction in statistical power.
Resource management in a cloud environment is a challenging problem due to the scale of modern data centers, the heterogeneity of resource types, the interdependency between these resources, the variability and unpredictability of the load, and the range of objectives of different actors in a cloud ecosystem [52].
