Citation Analysis

Using Aggregate Relational Data to Infer Social Networks
Xunkang Tian
https://arxiv.org/abs/2509.01503
14
Citation mentions
7
Cited references
6
Sections
6,879
Words (approx)

References by Citation Intensity

Ordered by composite index (descending). Higher values indicate more intensive citation.

# Reference Year Mentions Breadth Sec. Wtd Share Composite Main %
1 Mele, Angelo 2017 4 3 7.0 0.286 0.928 100%
2 Mele, Angelo and Zhu, Lingjiong 2023 4 3 7.0 0.286 0.928 100%
3 Breza, Emily and Chandrasekhar, Arun G and McCormi... 2020 2 2 3.0 0.143 0.644 100%
4 Banerjee, Abhijit V and Breza, Emily and Duflo, Es... 2017 1 1 2.0 0.071 0.406 100%
5 Casella, George and Berger, Roger L 2021 1 1 2.0 0.071 0.406 100%
6 Jordan, Michael I and Ghahramani, Zoubin and Jaakk... 1999 1 1 2.0 0.071 0.406 100%
7 Jackson, Matthew O and Rodriguez-Barraquer, Tomas ... 2012 1 1 2.0 0.071 0.406 100%
Measures: Mentions = total in-text citations; Breadth = distinct sections; Sec. Wtd = section-weighted count (body ×2, lit review/appendix ×0.5); Share = mentions / total citations in paper; Composite = geometric mean of normalised count, breadth, and main-text ratio; Main % = fraction of mentions in main text (excl. appendix). (self) = self-citation.