Outdegvv

Outdegvv is a term that has appeared in discussions within network science and data analysis to denote a vector-valued representation of a node's out-degree dynamics in a directed graph. It is not an established standard, and its exact interpretation varies by author or context.

In graph theory and time-series analysis, outdegvv is sometimes defined as a sequence of out-degree values observed at successive time steps, forming a vector. Some usages treat outdegvv as a feature vector for machine learning models that predict node activity or edge formation. In other contexts, the term may refer to a generalized out-degree metric across layers or versions, with “VV” indicating vector-valued or varying velocity depending on the source.

Example: if a node has out-degree 3 at time t0, 5 at t1, and 4 at t2, its outdegvv would be [3, 5, 4].

Status and see also: There is no universal standard for outdegvv in peer-reviewed sources, and definitions are confined to niche discussions or informal jargon. Related concepts include out-degree, degree distribution, vector-valued functions, and network dynamics.