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New measures for evaluating creativity in scientific publications

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abstract

The goal of our research is to understand how ideas propagate, combine and are created in large social networks. In this work, we look at a sample of relevant scientific publications in the area of high-frequency analog circuit design and their citation distribution. A novel aspect of our work is the way in which we categorize citations based on the reason and place of it in a publication. We created seven citation categories from general domain references, references to specific methods used in the same domain problem, references to an analysis method, references for experimental comparison and so on. This added information allows us to define two new measures to characterize the creativity (novelty and usefulness) of a publication based on its pattern of citations clustered by reason, place and citing scientific group. We analyzed 30 publications in relevant journals since 2000 and their about 300 citations, all in the area of high-frequency analog circuit design. We observed that the number of citations a publication receives from different scientific groups matches a Levy type distribution: with a large number of groups citing a publication relatively few times, and a very small number of groups citing a publication a large number of times. We looked at the motifs a publication is cited differently by different scientific groups.

fields

cs.CL 1

years

2025 1

verdicts

CONDITIONAL 1

representative citing papers

Sparks of Science: Hypothesis Generation Using Structured Paper Data

cs.CL · 2025-04-17 · conditional · novelty 6.0

The authors built HypoGen, 5,478 Bit-Flip-Spark hypothesis triples with reasoning chains from NeurIPS 2023 and ICLR 2024 papers, and fine-tuned LLaMA models on it, reporting higher feasibility but lower diversity in generated hypotheses.

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  • Sparks of Science: Hypothesis Generation Using Structured Paper Data cs.CL · 2025-04-17 · conditional · none · ref 12 · internal anchor

    The authors built HypoGen, 5,478 Bit-Flip-Spark hypothesis triples with reasoning chains from NeurIPS 2023 and ICLR 2024 papers, and fine-tuned LLaMA models on it, reporting higher feasibility but lower diversity in generated hypotheses.