Unconnected component inclusion technique for patent network analysis: Case study of Internet of Things-related technologies

Takano, Yasutomo; Mejía, Cristian; Kajikawa, Yuya

doi:10.1016/j.joi.2016.05.004

Cited by 24 publications

(7 citation statements)

References 40 publications

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“…The results showed that the number of patent applications for emergency technologies increased faster than other technologies. Some other scholars clustering patent citation data to find out the potential technology reorganization list [10]. A patent citation is a document cited by applicants or patent office examiners because its content relates to the other patent application.…”

Section: Patent Data Analysismentioning

confidence: 99%

“…It should be noted that the number of patent citations is closely related to the service life of the patent, which means the earlier a patent is applied, the more chances it will be cited, and the number of citations will be higher than that of subsequent patents [54]. In order to eliminate the impact of patent application time, the number of patent citation per year in the whole life cycle is set as the weight calculation index, thus is calculated by equation (10).…”

Section: The Calculation Of Patent Hyperedge Weight Based On Patent Qualitymentioning

confidence: 99%

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Data-driven Product Functional Configuration: Patent Data and Hypergraph

Lin

Liu

Xiao

2021

Preprint

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Product functional configuration (PFC) is a common way for the firm to satisfy individual requirements of the customer and be carried out base on market analysis. This study aims to help firms analyze functions and carry out function configuration by the patent data. This paper proposes a patent data-driven product function configuration method based on a hypergraph network. It constructs a weighted network model to optimize the combination of product function quantity and object from the perspective of big data: (1) The functional knowledge contained in the patent is extracted. (2) The functional hypergraph (FH) is constructed according to the co-occurrence relationship of patent and applicant. (3) The function and patent weight are calculated from the perspective of the patent applicant and patent value. (4) The weight calculation model of PFC is built. (5) The weighted frequent subgraph algorithm is used to obtain the optimal function combination list. This method is applied in the innovative design process of a bathroom shower. The result indicates that this method designed in the study has a positive effect on helping firms detach optimal function candidates and develop a multi-function product.

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Section: Patent Data Analysismentioning

confidence: 99%

Section: The Calculation Of Patent Hyperedge Weight Based On Patent Qualitymentioning

confidence: 99%

Data-driven Product Functional Configuration: Patent Data and Hypergraph

Lin

Liu

Xiao

2021

Preprint

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“…Since the role of a patent is financial, a citation from a patent to an academic output is an indicator of relationship to commercial value. The Derwent Patent Citation Index is an example of a citation index that can be used for patent citation analysis (Takano, Mejia, & Kajikawa, 2016). Whilst patent citations are not usually characterised as a type of altmetric, they can be gathered from the Google Patents website and so can be a webometric indicator.…”

Section: Patentsmentioning

confidence: 99%

The Pros and Cons of the Use of Altmetrics in Research Assessment

Thelwall¹

2020

SAR

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Many indicators derived from the web have been proposed to supplement citation-based indicators in support of research assessments. These indicators, often called altmetrics, are available commercially from Altmetric.com and Elsevier's Plum Analytics or can be collected directly. These organisations can also deliver altmetrics to support institutional self-evaluations. The potential advantages of altmetrics for research evaluation are that they may reflect important non-academic impacts and may appear before citations when an article is published, thus providing earlier impact evidence. Their disadvantages often include susceptibility to gaming, data sparsity, and difficulties translating the evidence into specific types of impact. Despite these limitations, altmetrics have been widely adopted by publishers, apparently to give authors, editors and readers insights into the level of interest in recently published articles. This article summarises evidence for and against extending the adoption of altmetrics to research evaluations. It argues that whilst systematically-gathered altmetrics are inappropriate for important formal research evaluations, they can play a role in some other contexts. They can be informative when evaluating research units that rarely produce journal articles, when seeking to identify evidence of novel types of impact during institutional or other self-evaluations, and when selected by individuals or groups to support narrative-based non-academic claims. In addition, Mendeley reader counts are uniquely valuable as early (mainly) scholarly impact indicators to replace citations when gaming is not possible and early impact evidence is needed. Organisations using alternative indicators need recruit or develop in-house expertise to ensure that they are not misused, however. Policy highlightsAltmetrics, or alternative indicators for research outputs, have been proposed as a partial solution to two research management problems: (a) assessing the societal impacts of research, and (b) obtaining early impact evidence. This article reviews the evidence and finds limited support for (a) but strong support for (b). Organisations will need to assess whether the value provided by alternative indicators in terms of helping to provide data so support research assessments is sufficient for their financial and time costs. Those using alternative indicators will deed to develop in-house expertise so that they can be used responsibly and interpreted effectively.

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“…Most existing studies have adopted citation information to develop a patent network, exploiting the structured data within patents (e.g., Érdi et al, 2013;Han and Park, 2006;Li et al, 2007;Sternitzke et al, 2008;Takano et al, 2016). However, a citation-based patent network has several limitations.…”

Section: Approaches To Develop a Patent Networkmentioning

confidence: 99%

Deriving technology intelligence from patents: Preposition-based semantic analysis

An¹,

Kim

Mortara

et al. 2018

Journal of Informetrics

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Patents are one of the most reliable sources of technology intelligence, and the true value of patent analysis stems from its capability of describing the content of technology based on the relationships between keywords. To date a number of techniques for analyzing the information contained in patent documents that focus on the relationships between keywords have been suggested. However, a drawback of the existing keyword approaches is that they cannot yet determine the types of relationships between the keywords. This study proposes a novel approach based on preposition semantic analysis network which overcomes the limitations of the existing keywords-based network analysis and demonstrates its potential through an application. A preposition is a word that defines the relationship between two neighboring words, and, in the case of patents, prepositions aid in revealing the relationships between keywords related to technologies. To demonstrate the approach, patents regarding an electric vehicle were employed. 13 prepositions were identified which could be used to define 5 relationships between neighboring technological terms: "inclusion (utilization)," "objective (purpose)," "effect," "process," and "likeness." The proposed approach is expected to improve the usability of keyword-based patent analyses and support more elaborate studies on patent documents.

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Unconnected component inclusion technique for patent network analysis: Case study of Internet of Things-related technologies

Cited by 24 publications

References 40 publications

Data-driven Product Functional Configuration: Patent Data and Hypergraph

Data-driven Product Functional Configuration: Patent Data and Hypergraph

The Pros and Cons of the Use of Altmetrics in Research Assessment

Deriving technology intelligence from patents: Preposition-based semantic analysis

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