Graph kernel based measure for evaluating the influence of patents in a patent citation network

Rodriguez, Andrew; Kim, Byung–Hoon; Lee, Jae-Min; Coh, Byoung-Yul; Jeong, Myong K.

doi:10.1016/j.eswa.2014.08.051

Cited by 22 publications

(6 citation statements)

References 12 publications

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“…Recently, Gabora and Tseng studied the optimized ratio among imitators and creators, the degree to which social regulation of the creativity level of an individual helps the success of the entire population, and the usefulness of chaining simple outputs for solving open-ended problems [52]. Other agent models focus on the effect of complementariness among group members, populations sizes, minimum number of required pioneers, impact of the shapes of technological landscapes [61][62][63], individual adaptation strategies to landscape changes [50,64], dynamic knowledge representation [65,66], and conceptual reorganization of individuals' knowledge representations [67]. We previously studied the impact of different problem framing strategies and possible resource allocation schemes on the successful evolution of a community [51].…”

Section: Related Workmentioning

confidence: 99%

A novel agent-based, evolutionary model for expressing the dynamics of creative open-problem solving in small groups

Doboli

2020

Appl Intell

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Understanding the process of producing creative responses to open-ended problems solved in small groups is important for many modern domains, like health care, manufacturing, education, banking, and investment. Some of the main theoretical challenges include characterizing and measuring the dynamics of responses, relating social and individual aspects in group problem solving, incorporating soft skills (e.g., experience, social aspects, and emotions) to the theory of decision making in groups, and understanding the evolution of processes guided by soft utilities (hard-to-quantify utilities), e.g., social interactions and emotional rewards. This paper presents a novel theoretical model (TM) that describes the process of solving open-ended problems in small groups. It mathematically presents the connection between group member characteristics, interactions in a group, group knowledge evolution, and overall novelty of the responses created by a group as a whole. Each member is modeled as an agent with local knowledge, a way of interpreting the knowledge, resources, social skills, and emotional levels associated to problem goals and concepts. Five solving strategies can be employed by an agent to generate new knowledge. Group responses form a solution space, in which responses are grouped into categories based on their similarity and organized in abstraction levels. The solution space includes concrete features and samples, as well as the causal sequences that logically connect concepts with each other. The model was used to explain how member characteristics, e.g., the degree to which their knowledge is similar, relate to the solution novelty of the group. Model validation compared model simulations against results obtained through behavioral experiments with teams of human subjects, and suggests that TMs are a useful tool in improving the effectiveness of small teams.

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Section: Related Workmentioning

confidence: 99%

A novel agent-based, evolutionary model for expressing the dynamics of creative open-problem solving in small groups

Doboli

2020

Appl Intell

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“…In patent citation recommendations, Fujii et al (2007) proposed citation analysis by combining text-based and citation-based scores to improve the invalidity search on patent retrieval. Rodriguez et al (2015) proposed patent citation network analysis to identify the influence node of patents using a graph kernel measurement. Noh et al (2015) focused on keyword selection and processing for patent analysis using factors of patent documents where the element and the number of selecting keyword, and transforming technique were considered to increase the reliability of this research.…”

Section: Cross Domain Citation Recommendation Based On Hybrid Topic Mmentioning

confidence: 99%

Cross-domain citation recommendation based on hybrid topic model and co-citation selection

Tantanasiriwong

Guha

Janecek

et al. 2017

IJDMMM

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Cross domain recommendations are of growing importance in the research community. An application of particular interest is to recommend a set of relevant research papers as citations for a given patent. This paper proposes an approach for cross-domain citation recommendation based on the Hybrid Topic Model and Co-Citation Selection. Using the topic model, relevant terms from documents could be clustered into the same topics. In addition, the Co-Citation Selection technique will help select citations based on a set of highly similar patents. To evaluate the Author performance, we compared our proposed approach with the traditional baseline approaches using a corpus of patents collected for different technological fields of biotechnology, environmental technology, medical technology and nanotechnology. Experimental results show our cross domain citation recommendation yields a higher performance in predicting relevant publication citations than all baseline approaches.

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“…A patent document contains rich results of researched and developed technology because the exclusive right of registered patent is protected by patent law (Hunt et al , 2007; Roper et al , 2011). Therefore, it is important to analyze the patent documents to understand the technology in a given domain, and many patent analysis studies for technology management have been introduced (Choi et al , 2015; Jun et al , 2012; Jun et al , 2014; Noh et al , 2015; Rodriguez et al , 2015). Choi et al (2015) analyzed patent data to make a predictive model of technology transfer using social network analysis (SNA), regression, and decision trees.…”

Section: Introductionmentioning

confidence: 99%

“…The techniques of natural language processing such as corpus and text collection were used for patent document analysis. Rodriguez et al (2015) built a graph kernel-based measure to evaluate patent influence for patent citation analysis. Most studies of patent analysis were focused on the technology itself.…”

Section: Introductionmentioning

confidence: 99%

An integrated social network mining for product-based technology analysis of Apple

Kim

Jun

Jang

et al. 2017

IMDS

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Purpose Patent contains vast information on developed technologies because of the patent system. So, it is important to analyze patent data for understanding technologies. Most previous studies on patent analysis were focused on the technology itself. Their research results lacked the consideration of products. But the patent analysis based on products is crucial for company because a company grows by sales of competitive products. The purpose of this paper is to propose a novel methodology of patent analysis for product-based technology. This study contributes to the product development strategy of a company. Design/methodology/approach The primary goal for developing technology is to release a new product. So it is important to analyze the technology based on the product. In this study, the authors analyze Apple’s technologies based in iPod, iPhone, and iPad. In addition, the authors propose a new methodology to analyze product-based technology. The authors call this an integrated social network mining (ISNM). In the ISNM, the authors carry out a social network analysis (SNA) according to each product of Apple, and integrate all SNA results of iPod, iPhone, and iPad using the technological keywords. Findings In this case study, the authors analyze Apple’s technologies according to Apple’s innovative products, such as the iPod, iPhone, and iPad. From the ISNM results of Apple’s technology, the authors can find which technological detail is more important in overall structure of Apple’s technologies. Practical implications This study contributes to the management of technology including new product development, technological innovation, and research and development planning. To know the technological relationship between whole technologies based on products can be the source of intensification of technological competitiveness. Originality/value Most of studies on technology analysis were focused on patent technology itself. Though one of their research goals was to develop new product, they had their limits considering the products because they did not use the technology information in the technology analysis. The originality of this research is to use the product information in technology analysis using the proposed ISNM.

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Graph kernel based measure for evaluating the influence of patents in a patent citation network

Cited by 22 publications

References 12 publications

A novel agent-based, evolutionary model for expressing the dynamics of creative open-problem solving in small groups

A novel agent-based, evolutionary model for expressing the dynamics of creative open-problem solving in small groups

Cross-domain citation recommendation based on hybrid topic model and co-citation selection

An integrated social network mining for product-based technology analysis of Apple

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