The neighborhood connectivity (also referred to as the average neighborhood degree ) of a node \(i\), denoted as \(c_{NC}(i)\), is defined as the average degree of all its nearest neighbors [2]. Formally,
\begin{equation*}
c_{NC}(i) = \frac{\sum_{j \in \mathcal{N}(i)} |\mathcal{N}(j)|}{|\mathcal{N}(i)|} = \frac{\sum_{j \in \mathcal{N}(i)} d_j}{d_i},
\end{equation*}
where \(\mathcal{N}(i)\) represents the set of neighbors of node \(i\) and \(d_i\) is the degree of node \(i\). For isolated nodes (i.e., nodes with no neighbors), the neighborhood connectivity is defined to be zero.
For weighted networks, a corresponding generalization known as the weighted average nearest-neighbors degree was introduced by Barrat et al. [3].

References

[1] Shvydun, S. (2025). Zoo of Centralities: Encyclopedia of Node Metrics in Complex Networks. arXiv: 2511.05122 https://doi.org/10.48550/arXiv.2511.05122
[2] Maslov, S., & Sneppen, K. (2002). Specificity and stability in topology of protein networks. Science, 296(5569), 910-913. doi: 10.1126/science.1065103.
[3] Barrat, A., Barthelemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the national academy of sciences, 101(11), 3747-3752. doi: 10.1073/pnas.0400087101.