key: cord-0908461-h028kvbw
authors: Sun, Fengjun; Li, Yingqiu; Sheng, Guojun; Yao, Xiaolin
title: Issues about entitymetrics and paper-entity citation network
date: 2022-02-27
journal: Scientometrics
DOI: 10.1007/s11192-022-04316-7
sha: 570ca46eaf577872fde0be4a0e30c6c0a6303208
doc_id: 908461
cord_uid: h028kvbw

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described in the citation contexts. Thus, future studies about entitymetrics might consider using the entities extracted from the citation contexts as the cited objects. In one of the earliest studies about concept symbol (Small, 1978) , to confirm the correctness of the theory, Henry Small conducted an experiment on the scientific literatures of chemistry by the scrutiny of the citation contexts of the citing documents. With the availability of the modern, machine-readable, and open-accessed full text of PMC papers, the time is ripe for large scale entity extraction and data analysis based on citation context dataset (Sun et al., 2021) .

Another issue about the citation relationship aspect of entitymetrics is what the citing object should be. For the entitymetrics paper assumption, if the citing paper A has m entities and the cited paper B has n entities, then a m-n entity citation network will be built between the two papers. On the one hand, as we mentioned before, if the cited entities are only extracted from the corresponding citation context, then the number of the cited entities might be much smaller than n. On the other hand, among the m entities in the citing paper A, it is hard to identify which entity to be the citing entity. Even though the important entities might be in the titles, abstracts, conclusions, or other parts of the paper, it is still a little bit bold to link a citing entity to a cited entity extracted from citation context. Perhaps, the only certain fact is that the citing paper cites the cited entities extracted from its own citation contexts. In other words, instead of a unipartite network between entities, we might consider using a bipartite paper-entity network like the bipartite network between customers and products. In Fig. 2 , for the cited paper C, both citing papers A and B cited entity D in their citation contexts; however, only paper A cites entity C and paper B does not cite entity C. Compared with Fig. 1 , the original entity-entity citation network based on paper-paper citation network, paper to entity citation network is more concise. We do not have to figure out what entities are in the citing paper, and only entities in the citation context are extracted.

Entitymetrics can extend bibliometric methods by measuring the impact of knowledge entities in scholarly communication, and knowledge entities acting as carriers of knowledge in scientific articles have shown the potential to be the next big thing in scientometrics Fig. 1 The original entity-entity citation network based on paper-paper citation network. The figure is redrawn based on Fig. 3 from the entitymetrics paper (Ding et al., 2013) and informetrics. However, the original entity-entity citation network can be extended with a paper-entity citation network by (1) replacing the original citing object entity with citing paper, and (2) limiting the cited entities to be the entities only extracted from citation contexts. The assumption is changed as such: if an entity is extracted from the citation context of a paper, then the entity is cited by the paper.

Entitymetrics: Measuring the impact of entities

Cited documents as concept symbols

PubMed central citation context dataset

Analyzing knowledge entities about COVID-19 using entitymetrics