Extended diversity-strength ranking (EDSR) further extends the diversity-strength ranking (DSR) measure by incorporating the influence potential of nodes over a wider network range, as proposed by Zareie et al. [2]. The EDSR value of node \(i\) is given by
\begin{equation*}
c_{\text{EDSR}}(i) =\sum_{j \in \mathcal{N}(i)} c_{\text{DSR}}(i) = \sum_{j \in \mathcal{N}(i)}
\left[
\sum_{k \in \mathcal{N}(j)}
\left(
\sum_{p \in \mathcal{N}(k)}
\frac{IKs(p)}{\sum_{q \in \mathcal{N}(k)} IKs(q)}
\log \frac{IKs(p)}{\sum_{q \in \mathcal{N}(k)} IKs(q)}
\right)
\right],
\end{equation*}
where \(\mathcal{N}(i)\) denotes the set of neighbors of node \(i\), and \(IKs(p)\) is the improved \(k\)-shell index of node \(p\) as defined by Liu et al. [3]. The innermost term represents the diversity-strength centrality of node \(k\), the middle summation yields the DSR of node \(j\), and the outermost summation aggregates these across the neighbors of node \(i\). EDSR thus captures multi-level influence by integrating local, second-order, and higher-order structural information. Nodes with high EDSR values lie within regions of strong and diverse influence, indicating their importance in diffusion and spreading processes across the network.

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] Zareie, A., Sheikhahmadi, A., & Jalili, M. (2019). Influential node ranking in social networks based on neighborhood diversity. Future Generation Computer Systems, 94, 120-129. doi: 10.1016/j.future.2018.11.023.
[3] Liu, Z., Jiang, C., Wang, J., & Yu, H. (2015). The node importance in actual complex networks based on a multi-attribute ranking method. Knowledge-Based Systems, 84, 56-66. doi: 10.1016/j.knosys.2015.03.026.