Abstract
Predicting the possible development directions of a product is useful for planning innovative products. Therefore, a systematic approach based on link prediction is proposed in this study to predict possible development directions of a product. In this approach, a target product is represented as a set of cooperative patent classifications (i.e., product CPCs) contained in the patents related to the product, and the new CPCs identified by link prediction are considered possible directions for product development. The approach analyzes co-occurrences of CPCs in the entire the united states patent and trademark office database to construct a universal CPC network, which contains the technological combination records with high potential of success already tried and qualified through patent registration. Next, it constructs a sub-network of the universal network consisting of the product CPCs and their adjacent CPCs (i.e., candidate CPC) and then creates a product-centered network by introducing an artificial product node, which means the target product itself, to the sub-network. Lastly, applying our link prediction approach, this approach calculates the possibility of entering the product CPCs for all candidate CPCs. Consequently, we can discover possible technical elements that can flow into the target product. To show the workings of the approach, this study applies it to a case of smartphones and validates its performance. We expect that this approach can provide hints on a product’s future development directions and assist experts and firms in establishing strategic product planning or identifying the new functional development of products.
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Aiello, L. M., Barrat, A., Schifanella, R., Cattuto, C., Markines, B., & Menczer, F. (2012). Friendship prediction and homophily in social media. ACM Transactions on the Web (TWEB), 6(2), 9.
Akcora, C. G., Carminati, B., & Ferrari, E. (2011). Network and profile based measures for user similarities on social networks. In 2011 IEEE international conference on information reuse and integration (IRI) (pp. 292–298). IEEE.
Ashton, W. B., & Sen, R. K. (1988). Using patent information in technology business planning—I. Research-Technology Management, 31(6), 42–46.
Barabâsi, A.-L., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., & Vicsek, T. (2002). Evolution of the social network of scientific collaborations. Physica A: Statistical Mechanics and Its Applications, 311(3–4), 590–614.
Choi, J., Jeong, B., & Yoon, J. (2019). Technology opportunity discovery under the dynamic change of focus technology fields: Application of sequential pattern mining to patent classifications. Technological Forecasting and Social Change, 148, 119737.
Choi, J., Jeong, B., Yoon, J., Coh, B.-Y., & Lee, J.-M. (2020a). A novel approach to evaluating the business potential of intellectual properties: A machine learning-based predictive analysis of patent lifetime. Computers and Industrial Engineering, 145, 106544.
Choi, J., Oh, S., Yoon, J., Lee, J.-M., & Coh, B.-Y. (2020b). Identification of time-evolving product opportunities via social media mining. Technological Forecasting and Social Change, 156, 120045.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
Fabry, B., Ernst, H., Langholz, J., & Köster, M. (2006). Patent portfolio analysis as a useful tool for identifying R&D and business opportunities—An empirical application in the nutrition and health industry. World Patent Information, 28(3), 215–225.
Gerken, J. M., & Moehrle, M. G. (2012). A new instrument for technology monitoring: novelty in patents measured by semantic patent analysis. Scientometrics, 91(3), 645–670.
Geum, Y., Jeon, J., & Seol, H. (2013). Identifying technological opportunities using the novelty detection technique: A case of laser technology in semiconductor manufacturing. Technology Analysis & Strategic Management, 25(1), 1–22.
Jeong, B., Yoon, J., & Lee, J.-M. (2017). Social media mining for product planning: A product opportunity mining approach based on topic modeling and sentiment analysis. International Journal of Information Management.
Jürgens, B., & Herrero-Solana, V. (2017). Monitoring nanotechnology using patent classifications: An overview and comparison of nanotechnology classification schemes. Journal of Nanoparticle Research, 19(4), 151.
Katila, R. (2002). New product search over time: Past ideas in their prime? Academy of Management Journal, 45(5), 995–1010.
Lee, C., Kang, B., & Shin, J. (2015a). Novelty-focused patent mapping for technology opportunity analysis. Technological Forecasting and Social Change, 90, 355–365.
Lee, C., Kwon, O., Kim, M., & Kwon, D. (2018). Early identification of emerging technologies: A machine learning approach using multiple patent indicators. Technological Forecasting and Social Change, 127, 291–303.
Lee, S., Lee, S., Seol, H., & Park, Y. (2008). Using patent information for designing new product and technology: Keyword based technology roadmapping. R&d Management, 38(2), 169–188.
Lee, W., Han, E., & Sohn, S. (2015b). Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents. Technological Forecasting and Social Change, 100, 317–329.
Leydesdorff, L., Kogler, D. F., & Yan, B. (2017). Mapping patent classifications: Portfolio and statistical analysis, and the comparison of strengths and weaknesses. Scientometrics, 112(3), 1573–1591.
Liang, Y., & Tan, R. (2007). A text-mining-based patent analysis in product innovative process. Trends in computer aided innovation (pp. 89–96). Berlin: Springer.
Liben-Nowell, D., & Kleinberg, J. (2007). The link-prediction problem for social networks. Journal of the American Society for Information Science and Technology, 58(7), 1019–1031.
Luo, J., Yan, B., & Wood, K. (2017). Innogps for data-driven exploration of design opportunities and directions: The case of google driverless car project. Journal of Mechanical Design, 139(11), 111416.
Ma, J., & Porter, A. L. (2015). Analyzing patent topical information to identify technology pathways and potential opportunities. Scientometrics, 102(1), 811–827.
Mandel, M., Petito, C. E., Tutihashi, R., Paiva, W., Abramovicz Mandel, S., Gomes Pinto, F. C., et al. (2018). Smartphone-assisted minimally invasive neurosurgery. Journal of Neurosurgery, 130(1), 90–98.
Montecchi, T., Russo, D., & Liu, Y. (2013). Searching in cooperative patent classification: Comparison between keyword and concept-based search. Advanced Engineering Informatics, 27(3), 335–345.
Mori, J., Kajikawa, Y., Kashima, H., & Sakata, I. (2012). Machine learning approach for finding business partners and building reciprocal relationships. Expert Systems with Applications, 39(12), 10402–10407.
Oliveira, M. G., & Rozenfeld, H. (2010). Integrating technology roadmapping and portfolio management at the front-end of new product development. Technological Forecasting and Social Change, 77(8), 1339–1354.
Park, H., Ree, J. J., & Kim, K. (2013). Identification of promising patents for technology transfers using TRIZ evolution trends. Expert Systems with Applications, 40(2), 736–743.
Park, H., & Yoon, J. (2014). Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: The case of Korean national R&D. Scientometrics, 98(2), 853–890.
Park, Y., & Lee, S. (2011). How to design and utilize online customer center to support new product concept generation. Expert Systems with Applications, 38(8), 10638–10647.
Park, Y., & Yoon, J. (2017). Application technology opportunity discovery from technology portfolios: Use of patent classification and collaborative filtering. Technological Forecasting and Social Change, 118, 170–183.
Seo, W., Yoon, J., Park, H., Coh, B.-Y., Lee, J.-M., & Kwon, O.-J. (2016). Product opportunity identification based on internal capabilities using text mining and association rule mining. Technological Forecasting and Social Change, 105, 94–104.
Shen, X.-X., Tan, K. C., & Xie, M. (2000). An integrated approach to innovative product devselopment using Kano’s model and QFD. European Journal of Innovation Management, 3(2), 91–99.
Shibata, N., Kajikawa, Y., Takeda, Y., & Matsushima, K. (2008). Detecting emerging research fronts based on topological measures in citation networks of scientific publications. Technovation, 28(11), 758–775.
Song, K., Kim, K. S., & Lee, S. (2017). Discovering new technology opportunities based on patents: Text-mining and F-term analysis. Technovation, 60, 1–14.
Spender, J. C., & Grant, R. M. (1996). Knowledge and the firm: Overview. Strategic Management Journal, 17(S2), 5–9.
Statista. (2018). Global smartphone shipments from 2009 to 2018. The Statistics Portal. Retrieved February 10, 2018, from https://www.statista.com/statistics/271491/worldwide-shipments-of-smartphones-since-2009/.
Su, C.-T., Chen, Y.-H., & Sha, D. (2006). Linking innovative product development with customer knowledge: A data-mining approach. Technovation, 26(7), 784–795.
Tang, J., Wu, S., Sun, J., & Su, H. (2012) Cross-domain collaboration recommendation. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 1285–1293). ACM.
Tseng, Y.-H., Lin, C.-J., & Lin, Y.-I. (2007). Text mining techniques for patent analysis. Information Processing & Management, 43(5), 1216–1247.
Tuarob, S., & Tucker, C. S. (2015). Quantifying product favorability and extracting notable product features using large scale social media data. Journal of Computing and Information Science in Engineering, 15(3), 031003.
Wang, P., Xu, B., Wu, Y., & Zhou, X. (2015a). Link prediction in social networks: The state-of-the-art. Science China Information Sciences, 58(1), 1–38.
Wang, X., Qiu, P., Zhu, D., Mitkova, L., Lei, M., & Porter, A. L. (2015b). Identification of technology development trends based on subject–action–object analysis: The case of dye-sensitized solar cells. Technological Forecasting and Social Change, 98, 24–46.
Wu, S., Sun, J., & Tang, J. (2013). Patent partner recommendation in enterprise social networks. In Proceedings of the 6th ACM international conference on Web search and data mining (pp. 43–52). ACM.
Xianjin, Z., & Minghong, C. (2010). Study on early warning of competitive technical intelligence based on the patent map. Journal of Computers, 5(2), 274–281.
Yoon, B., & Magee, C. L. (2018). Exploring technology opportunities by visualizing patent information based on generative topographic mapping and link prediction. Technological Forecasting and Social Change, 132, 105–117.
Yoon, B., & Park, Y. (2004). A text-mining-based patent network: Analytical tool for high-technology trend. The Journal of High Technology Management Research, 15(1), 37–50.
Yoon, B., & Park, Y. (2007). Development of new technology forecasting algorithm: Hybrid approach for morphology analysis and conjoint analysis of patent information. IEEE Transactions on Engineering Management, 54(3), 588–599.
Yoon, J., & Kim, K. (2011). Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks. Scientometrics, 88(1), 213–228.
Yoon, J., & Kim, K. (2012). Detecting signals of new technological opportunities using semantic patent analysis and outlier detection. Scientometrics, 90(2), 445–461.
Yoon, J., Kim, M., Kim, D., & Kim, J. (2015a). Monitoring the change of technological impacts of technology sectors using patent information. Industrial Engineering & Management Systems, 14(1), 58–72.
Yoon, J., Park, H., Seo, W., Lee, J.-M., Coh, B.-Y., & Kim, J. (2015b). Technology opportunity discovery (TOD) from existing technologies and products: A function-based TOD framework. Technological Forecasting and Social Change, 100, 153–167.
Yoon, J., Seo, W., Coh, B.-Y., Song, I., & Lee, J.-M. (2017). Identifying product opportunities using collaborative filtering-based patent analysis. Computers & Industrial Engineering, 107, 376–387.
Acknowledgements
We feel much appreciation for the editor and anonymous reviewers who provided valuable comments and suggestions on the earlier version of this paper. This paper was supported by Konkuk University in 2018.
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Appendices
Appendix 1: Global smartphone shipments from 2009 to 2018
Appendix 2: Top 400 candidate CPCs with high inflow possibility in Period 1 and their inflow result
CPC | Inflow possibility | Inflow | CPC | Inflow possibility | Inflow | CPC | Inflow possibility | Inflow | CPC | Inflow possibility | Inflow |
---|---|---|---|---|---|---|---|---|---|---|---|
H04N9 | 1.000 | Y | Y10T156 | 0.105 | N | B43K23 | 0.055 | N | B81C1 | 0.031 | N |
G11B27 | 0.902 | Y | Y10T16 | 0.104 | N | H04L2025 | 0.055 | N | G01S17 | 0.031 | N |
H01L21 | 0.707 | Y | H04B10 | 0.103 | Y | C09D11 | 0.055 | N | G05B13 | 0.031 | N |
G06F12 | 0.557 | Y | G09G2330 | 0.103 | N | B41J11 | 0.055 | N | H01Q7 | 0.031 | N |
H04L45 | 0.555 | N | A61B1 | 0.102 | N | G09B29 | 0.054 | N | B60W2510 | 0.031 | N |
H04L1 | 0.538 | N | G05B19 | 0.102 | N | G16H15 | 0.053 | N | B41J15 | 0.031 | N |
H01L25 | 0.517 | Y | G02B6 | 0.098 | N | B43K24 | 0.053 | N | H05B37 | 0.031 | Y |
H04L2463 | 0.509 | N | G06T15 | 0.097 | Y | E05Y2900 | 0.053 | N | G11B5 | 0.030 | N |
G11B20 | 0.501 | N | H04W56 | 0.095 | N | B43K25 | 0.053 | N | G02B13 | 0.030 | N |
H04N2005 | 0.470 | N | A61B2017 | 0.094 | N | A63B2230 | 0.053 | N | G03F7 | 0.030 | N |
G06T7 | 0.443 | Y | G01N21 | 0.093 | Y | B43K7 | 0.052 | N | E05D11 | 0.030 | N |
G11B2220 | 0.437 | N | H04N17 | 0.093 | N | G06F2216 | 0.052 | N | A61F2002 | 0.030 | N |
H04W80 | 0.392 | N | B65H29 | 0.092 | N | G09G2354 | 0.050 | N | H05B33 | 0.030 | Y |
H05K3 | 0.382 | N | G06F2003 | 0.091 | N | B60R25 | 0.050 | Y | G07G3 | 0.030 | N |
H01L27 | 0.381 | Y | B42C9 | 0.091 | N | B42D2035 | 0.050 | N | B60K37 | 0.030 | N |
H04L2012 | 0.371 | Y | G09G2300 | 0.090 | N | G10H2240 | 0.050 | N | H01R12 | 0.029 | N |
H04B7 | 0.342 | Y | H04B5 | 0.089 | Y | B60L3 | 0.049 | N | F16M13 | 0.029 | Y |
G06F15 | 0.319 | N | H03K17 | 0.089 | N | G06T9 | 0.049 | N | B60W50 | 0.029 | N |
H01L2225 | 0.307 | Y | H04M19 | 0.088 | N | H04B3 | 0.049 | N | H01H2221 | 0.029 | N |
H04W92 | 0.306 | N | A61B2090 | 0.088 | N | Y02B90 | 0.049 | N | G01N27 | 0.029 | N |
G06T1 | 0.299 | Y | A61M5 | 0.088 | N | H03K2217 | 0.049 | N | G05F1 | 0.029 | N |
G06F2200 | 0.297 | N | B42C19 | 0.088 | N | B60W20 | 0.048 | N | B23K2201 | 0.029 | N |
H04W40 | 0.295 | N | H04R1 | 0.088 | Y | F21Y2115 | 0.047 | N | A63F3 | 0.029 | N |
G09G2340 | 0.285 | Y | H03L7 | 0.087 | N | A61F2 | 0.047 | N | G01D4 | 0.029 | N |
G06F2217 | 0.260 | N | B65H37 | 0.086 | N | F02D41 | 0.047 | N | G05B23 | 0.029 | N |
H04L5 | 0.259 | Y | Y02P70 | 0.086 | N | G06Q2220 | 0.046 | N | H03K5 | 0.028 | N |
G07C9 | 0.255 | Y | B42P2261 | 0.085 | N | H04L2029 | 0.046 | N | B60W2540 | 0.028 | N |
H04M2201 | 0.243 | N | G06T2200 | 0.084 | N | G06T13 | 0.046 | N | Y10T436 | 0.028 | N |
A61B2562 | 0.242 | Y | G06Q99 | 0.084 | N | G01S1 | 0.046 | N | G03F1 | 0.028 | N |
G09G2370 | 0.234 | Y | H05K5 | 0.084 | N | H04L2027 | 0.046 | N | H01S5 | 0.028 | N |
H01L33 | 0.233 | N | H04M17 | 0.083 | N | Y04S10 | 0.045 | N | B60R2325 | 0.028 | N |
H04L49 | 0.232 | N | G07F9 | 0.083 | N | A61B18 | 0.045 | N | B82Y10 | 0.028 | N |
A61N1 | 0.225 | Y | B60L2240 | 0.083 | N | Y04S40 | 0.045 | N | H03J1 | 0.028 | N |
G06F2212 | 0.225 | Y | G08B25 | 0.083 | Y | G08C23 | 0.044 | N | H01M8 | 0.028 | N |
B41J2 | 0.224 | N | Y02E60 | 0.081 | N | G09B7 | 0.044 | N | A61B7 | 0.028 | N |
G06F2209 | 0.220 | N | G09G2310 | 0.080 | N | H01M4 | 0.044 | N | G08B27 | 0.028 | N |
H04M2207 | 0.218 | N | H04K1 | 0.080 | N | Y02D30 | 0.043 | N | Y10S482 | 0.028 | N |
Y10T428 | 0.215 | N | G01N33 | 0.080 | Y | Y02E10 | 0.043 | N | B60L2260 | 0.028 | N |
G06F2201 | 0.208 | N | G10L13 | 0.079 | N | G11C29 | 0.043 | N | G02B5 | 0.028 | N |
B41J3 | 0.204 | N | A61B17 | 0.078 | N | G03B21 | 0.043 | N | H02J2007 | 0.028 | N |
H04W74 | 0.202 | N | A63B24 | 0.078 | Y | G01S7 | 0.043 | N | Y10T74 | 0.027 | N |
H04N2101 | 0.200 | N | B41J2202 | 0.077 | N | H04K3 | 0.043 | N | G06N7 | 0.027 | N |
G09G3 | 0.200 | N | A61M2205 | 0.077 | Y | G01S13 | 0.042 | N | G11B7 | 0.027 | N |
G06T11 | 0.194 | Y | G06N99 | 0.076 | N | A61M2230 | 0.041 | N | B33Y80 | 0.027 | N |
G16H40 | 0.192 | N | H01H13 | 0.076 | N | H01L28 | 0.041 | N | G09F9 | 0.027 | N |
H04M2242 | 0.189 | N | B41J2002 | 0.075 | N | G06N3 | 0.041 | N | H04Q2209 | 0.027 | N |
H05K2203 | 0.185 | N | H04J13 | 0.075 | N | B60R11 | 0.041 | N | B60R1 | 0.027 | N |
G11B2020 | 0.183 | N | H04B17 | 0.075 | N | Y02B70 | 0.041 | N | H01L51 | 0.027 | N |
H04J3 | 0.178 | N | H04L7 | 0.075 | N | B60L15 | 0.041 | N | B60L2270 | 0.026 | N |
H04M11 | 0.173 | N | H01M2 | 0.074 | Y | F21K9 | 0.041 | N | G01P15 | 0.026 | N |
Y02D50 | 0.172 | N | G06K1 | 0.074 | N | G11B33 | 0.041 | N | H04M2017 | 0.026 | N |
G09G2320 | 0.171 | N | G11C7 | 0.074 | N | H04N3 | 0.041 | N | H02J13 | 0.026 | N |
G07D7 | 0.170 | N | H04N2007 | 0.074 | N | G06T2210 | 0.041 | N | B60L2220 | 0.026 | N |
G16H10 | 0.169 | N | G11C16 | 0.073 | N | H04B2001 | 0.040 | N | B60L2230 | 0.026 | N |
A61B2560 | 0.168 | Y | G01R33 | 0.072 | N | H04B2201 | 0.040 | N | H02J2003 | 0.026 | N |
H04W68 | 0.168 | N | A61B90 | 0.072 | N | G07C2009 | 0.039 | Y | G07G5 | 0.026 | N |
Y02P90 | 0.164 | N | G06Q90 | 0.071 | N | B60W30 | 0.039 | N | A61N5 | 0.026 | N |
H04W60 | 0.162 | N | G10L17 | 0.071 | N | C12Q1 | 0.039 | N | G03B15 | 0.025 | N |
G02F1 | 0.161 | Y | A61B34 | 0.071 | N | G06T2219 | 0.039 | N | B60K1 | 0.025 | N |
G06K2209 | 0.157 | N | H01L31 | 0.071 | N | A61F9 | 0.039 | N | G09B21 | 0.025 | N |
G06K15 | 0.157 | N | B42D25 | 0.071 | N | H04J14 | 0.039 | N | H05K13 | 0.025 | N |
G06T5 | 0.157 | N | H01R13 | 0.071 | N | H01L2933 | 0.039 | N | G05D1 | 0.025 | N |
G07G1 | 0.156 | N | G09B5 | 0.068 | N | G02B2027 | 0.038 | Y | G07B2017 | 0.025 | N |
H04Q3 | 0.156 | N | A63B2225 | 0.068 | N | A63F9 | 0.038 | N | B60W2550 | 0.025 | N |
G09G2360 | 0.156 | N | G07B15 | 0.068 | N | Y04S50 | 0.038 | N | A63B2244 | 0.025 | N |
G06K17 | 0.153 | N | G02F2001 | 0.068 | N | A61B2018 | 0.038 | N | E05D3 | 0.025 | N |
H05K7 | 0.152 | N | G03G2215 | 0.067 | N | H04R2499 | 0.038 | N | B60W2710 | 0.024 | N |
H04L2001 | 0.139 | N | A63B71 | 0.066 | N | H04R2420 | 0.037 | Y | F28D15 | 0.024 | N |
H01L29 | 0.138 | Y | A61B2034 | 0.065 | N | G02B26 | 0.037 | N | H02M3 | 0.024 | N |
G08B13 | 0.137 | Y | Y02B60 | 0.065 | N | G08C19 | 0.037 | N | H04J11 | 0.024 | N |
G06T3 | 0.137 | N | B82Y30 | 0.064 | N | H03G3 | 0.037 | N | G01S15 | 0.024 | N |
G16H50 | 0.137 | N | G10H1 | 0.064 | N | B60L2210 | 0.037 | N | H04N2013 | 0.024 | N |
H03M13 | 0.136 | N | G06F2206 | 0.064 | N | H04Q9 | 0.037 | N | G06K2207 | 0.024 | N |
H04Q2213 | 0.136 | N | Y10S128 | 0.064 | N | B60L2200 | 0.037 | N | G07B17 | 0.024 | N |
H04W16 | 0.135 | N | Y02A90 | 0.063 | N | G01R1 | 0.037 | N | H01Q3 | 0.024 | N |
G11B19 | 0.135 | N | G05B15 | 0.063 | Y | B60K2350 | 0.036 | N | G03B27 | 0.024 | N |
G06F2211 | 0.131 | N | G07F11 | 0.063 | N | H04M9 | 0.036 | N | G01J1 | 0.024 | N |
H04H40 | 0.130 | N | G06T17 | 0.063 | N | G03B13 | 0.036 | N | G11C2207 | 0.024 | N |
G06K2009 | 0.130 | N | G10L21 | 0.063 | N | A61M25 | 0.035 | N | H01H2239 | 0.024 | N |
G06K2017 | 0.126 | N | G09B19 | 0.062 | N | G01B11 | 0.035 | N | F16M2200 | 0.024 | N |
G06T2201 | 0.126 | N | H01L22 | 0.061 | N | G01N2021 | 0.035 | N | G11B31 | 0.023 | N |
A61B6 | 0.126 | N | H03M7 | 0.061 | N | B60R16 | 0.035 | N | G06F2207 | 0.023 | N |
G08C17 | 0.126 | Y | B60W10 | 0.061 | N | H01H2219 | 0.035 | N | G01C22 | 0.023 | N |
G06T19 | 0.124 | Y | B60K6 | 0.060 | N | A63B22 | 0.035 | N | H01Q5 | 0.023 | N |
G03G15 | 0.124 | N | G10L2015 | 0.060 | N | F01N3 | 0.035 | N | G07F5 | 0.023 | N |
B41J13 | 0.122 | N | G11C5 | 0.059 | N | G10H2220 | 0.035 | N | H01M2250 | 0.023 | N |
G10L19 | 0.121 | N | Y10S715 | 0.059 | N | A61B2503 | 0.035 | N | C09K11 | 0.023 | N |
Y10T307 | 0.120 | N | Y10S370 | 0.059 | N | H04R3 | 0.034 | Y | A45F2005 | 0.023 | N |
H01L2223 | 0.120 | N | G10L25 | 0.059 | Y | G01J3 | 0.034 | Y | B81B7 | 0.023 | N |
H01L2221 | 0.119 | N | A63B69 | 0.058 | N | H02J50 | 0.034 | Y | H02J9 | 0.022 | N |
G02B27 | 0.118 | Y | H01Q21 | 0.057 | N | A61M2005 | 0.034 | N | B60L1 | 0.022 | N |
G06N5 | 0.117 | N | G09G2380 | 0.057 | N | B29C45 | 0.034 | N | G03G21 | 0.022 | N |
H04H2201 | 0.117 | N | A63B2071 | 0.057 | N | H03F3 | 0.033 | N | A63F2009 | 0.022 | N |
G11C11 | 0.113 | N | A63B2024 | 0.057 | N | B60K35 | 0.033 | N | G08B5 | 0.022 | N |
B41J29 | 0.112 | N | G06K2019 | 0.056 | N | H04R5 | 0.033 | N | H04N11 | 0.022 | N |
A61B8 | 0.112 | Y | H04Q11 | 0.056 | N | Y04S30 | 0.033 | N | H01H2217 | 0.022 | N |
G01R31 | 0.109 | N | B43K29 | 0.055 | N | H04S7 | 0.032 | N | H03F1 | 0.022 | N |
G06F7 | 0.107 | N | H03K19 | 0.055 | N | G07D11 | 0.032 | N | A45C2011 | 0.022 | Y |
G06F2009 | 0.107 | N | G06F2213 | 0.055 | N | A61M16 | 0.031 | N | G11C8 | 0.022 | N |
G03B17 | 0.105 | Y | G02B7 | 0.055 | N | B60L2250 | 0.031 | N | H01H2223 | 0.022 | N |
Appendix 3: Top 400 candidate CPCs with high inflow possibility in Period 2
CPC | Inflow possibility | CPC | Inflow possibility | CPC | Inflow possibility | CPC | Inflow possibility |
---|---|---|---|---|---|---|---|
H04L29 | 1.0000 | A61B18 | 0.1323 | A63B2230 | 0.0713 | G09F9 | 0.0442 |
H04L47 | 0.7854 | B60K2350 | 0.1316 | B60R2300 | 0.0711 | G09B7 | 0.0441 |
H04W28 | 0.6262 | G02B5 | 0.1314 | H04L7 | 0.0702 | H04Q3 | 0.0437 |
H04L45 | 0.5967 | G06T13 | 0.1280 | H04Q2209 | 0.0700 | G11C13 | 0.0434 |
H04W36 | 0.5475 | Y02D50 | 0.1259 | E05Y2900 | 0.0695 | G16H15 | 0.0432 |
H05K1 | 0.5429 | A63B71 | 0.1253 | H03M7 | 0.0684 | G01C22 | 0.0431 |
H04L1 | 0.5119 | G09B5 | 0.1249 | G06F2206 | 0.0684 | H04R2460 | 0.0427 |
H01L33 | 0.5059 | H03M13 | 0.1234 | H02M3 | 0.0676 | H01M2010 | 0.0426 |
G09G3 | 0.4809 | G11C5 | 0.1230 | H04R2430 | 0.0667 | H04Q2213 | 0.0425 |
G06T3 | 0.4524 | G02B7 | 0.1216 | G02B26 | 0.0666 | A61N7 | 0.0420 |
G06F2009 | 0.4347 | Y02P70 | 0.1197 | B25J9 | 0.0665 | G06F5 | 0.0419 |
G06F2201 | 0.4343 | A61B2018 | 0.1185 | B60R11 | 0.0660 | G02B23 | 0.0418 |
H05K2201 | 0.4263 | G02B13 | 0.1177 | B60W10 | 0.0660 | B82Y10 | 0.0418 |
G06F15 | 0.4154 | A61B2576 | 0.1173 | A61M2005 | 0.0659 | H04N2213 | 0.0413 |
H05K3 | 0.4057 | H04M2242 | 0.1173 | A61M16 | 0.0657 | G01S3 | 0.0413 |
G06T5 | 0.3841 | G06T2219 | 0.1163 | H04B3 | 0.0652 | B01L3 | 0.0412 |
H04N2005 | 0.3607 | G10L17 | 0.1159 | B81B7 | 0.0651 | B41J3 | 0.0409 |
Y02B60 | 0.3527 | H04J11 | 0.1149 | H04R2201 | 0.0647 | B23K1 | 0.0408 |
H04L2463 | 0.3398 | G10L21 | 0.1139 | G06F2213 | 0.0645 | H04N2007 | 0.0408 |
H04H20 | 0.3252 | B60W30 | 0.1122 | G01J5 | 0.0645 | G09G2358 | 0.0406 |
H04W40 | 0.3171 | A63B2225 | 0.1114 | A61N5 | 0.0635 | G09G2356 | 0.0405 |
H04M7 | 0.3039 | F21Y2115 | 0.1109 | G08C23 | 0.0630 | G11B19 | 0.0405 |
G06F2200 | 0.2988 | G06N7 | 0.1098 | B60L2250 | 0.0624 | A61N2005 | 0.0405 |
G06N5 | 0.2974 | G01N2021 | 0.1097 | Y10S901 | 0.0623 | H01L45 | 0.0402 |
G09G2320 | 0.2939 | G06F2211 | 0.1085 | H01Q9 | 0.0623 | G09C1 | 0.0402 |
H04W68 | 0.2916 | H04M11 | 0.1080 | H01H13 | 0.0621 | B60Q9 | 0.0399 |
G06K2009 | 0.2865 | H04N17 | 0.1077 | B29D11 | 0.0617 | A63F2009 | 0.0398 |
G16H40 | 0.2834 | G01S7 | 0.1072 | A61M1 | 0.0616 | H02J13 | 0.0391 |
H04L27 | 0.2820 | H04M2215 | 0.1062 | G07G1 | 0.0614 | Y02D30 | 0.0390 |
H05K7 | 0.2811 | H01M2220 | 0.1061 | B60L2210 | 0.0611 | H01J37 | 0.0390 |
A61B6 | 0.2793 | H04R2499 | 0.1033 | F21V23 | 0.0608 | Y02A90 | 0.0389 |
G06K15 | 0.2792 | H02J2007 | 0.1031 | G05B13 | 0.0608 | B32B37 | 0.0389 |
G09G2354 | 0.2732 | B60W2540 | 0.1004 | G05F1 | 0.0605 | G03F1 | 0.0388 |
G06T2200 | 0.2716 | G11B2220 | 0.1003 | E05D3 | 0.0601 | G01D5 | 0.0387 |
H04W16 | 0.2705 | G06F2003 | 0.1001 | G08B17 | 0.0583 | F02D41 | 0.0386 |
H01L2221 | 0.2628 | A63B2024 | 0.0998 | H01Q21 | 0.0583 | B01L2300 | 0.0384 |
H04W74 | 0.2614 | H04R27 | 0.0996 | Y02B20 | 0.0581 | G05B23 | 0.0384 |
H01L2223 | 0.2581 | H05K13 | 0.0995 | H05K999 | 0.0571 | G01N2333 | 0.0384 |
G09G2300 | 0.2539 | B60K37 | 0.0991 | G06T9 | 0.0569 | B81B2207 | 0.0382 |
G06K2209 | 0.2471 | H04B2001 | 0.0991 | A61B10 | 0.0566 | G06T2201 | 0.0381 |
H04L49 | 0.2261 | Y02E10 | 0.0991 | G07F19 | 0.0565 | F21V29 | 0.0381 |
G06N99 | 0.2260 | G05D23 | 0.0990 | H03F2200 | 0.0560 | B81C2203 | 0.0378 |
H05K5 | 0.2234 | A61F2 | 0.0985 | Y04S10 | 0.0560 | G03B15 | 0.0375 |
G09G2330 | 0.2234 | Y02P90 | 0.0977 | B60L15 | 0.0558 | B23K2201 | 0.0374 |
H04W60 | 0.2208 | H04N2101 | 0.0976 | G01J1 | 0.0556 | A63B21 | 0.0374 |
G16H50 | 0.2206 | H04Q9 | 0.0967 | H02J17 | 0.0555 | G03B3 | 0.0374 |
H04W80 | 0.2197 | H04R2227 | 0.0960 | H01L2251 | 0.0554 | B41J29 | 0.0373 |
Y10S707 | 0.2185 | Y10T307 | 0.0945 | B41J2 | 0.0553 | G01J2005 | 0.0373 |
H04W56 | 0.2138 | H03K2217 | 0.0942 | A61F2002 | 0.0553 | H03M1 | 0.0372 |
H04W92 | 0.2095 | B60R1 | 0.0930 | B60L2230 | 0.0550 | A61M2016 | 0.0371 |
G02B6 | 0.2069 | G01S17 | 0.0926 | H04L2001 | 0.0545 | B60L2270 | 0.0370 |
G09G2360 | 0.2069 | A63B2071 | 0.0921 | G03B13 | 0.0540 | G01S11 | 0.0370 |
G05D1 | 0.2048 | G03G15 | 0.0918 | H03F1 | 0.0539 | H04M17 | 0.0369 |
G06F2209 | 0.2037 | G08B29 | 0.0917 | G02B3 | 0.0538 | G04G21 | 0.0367 |
A61B2090 | 0.2006 | H01M4 | 0.0916 | G01R27 | 0.0537 | H03K3 | 0.0364 |
H01L22 | 0.1981 | A61M2230 | 0.0915 | G09G1 | 0.0533 | H01Q3 | 0.0363 |
G02F2001 | 0.1933 | A61B2503 | 0.0911 | A61B7 | 0.0531 | B60W20 | 0.0362 |
A61B2017 | 0.1895 | H04M2207 | 0.0908 | H04B15 | 0.0525 | B60K6 | 0.0359 |
G11C11 | 0.1880 | G01N27 | 0.0903 | G01S1 | 0.0524 | G08B3 | 0.0358 |
G06F2217 | 0.1878 | F21K9 | 0.0899 | G01P15 | 0.0522 | H03L7 | 0.0357 |
G11B20 | 0.1865 | G10L19 | 0.0895 | B82Y30 | 0.0521 | G01B9 | 0.0357 |
H04B17 | 0.1865 | H03G3 | 0.0888 | B60L2200 | 0.0521 | G02C11 | 0.0357 |
G01R31 | 0.1860 | B60W2040 | 0.0887 | A61M2025 | 0.0521 | H04S2400 | 0.0354 |
G11C7 | 0.1834 | B60L3 | 0.0885 | A61B2505 | 0.0518 | G07F11 | 0.0353 |
G11C16 | 0.1824 | G11B2020 | 0.0875 | G02B21 | 0.0515 | G11B5 | 0.0350 |
G06T2210 | 0.1801 | B60Q1 | 0.0867 | G10H1 | 0.0512 | H01F27 | 0.0349 |
A61B34 | 0.1776 | H04N2013 | 0.0855 | G11C2029 | 0.0510 | G08B27 | 0.0347 |
G16H10 | 0.1771 | H04M19 | 0.0854 | Y04S20 | 0.0509 | G10H2220 | 0.0346 |
A61B1 | 0.1766 | G08C19 | 0.0843 | A63F9 | 0.0507 | B60L7 | 0.0344 |
H04L25 | 0.1766 | G06Q2220 | 0.0841 | G01S15 | 0.0506 | B60W2710 | 0.0341 |
G05B19 | 0.1762 | A61M25 | 0.0840 | A63B22 | 0.0505 | Y04S50 | 0.0341 |
H01L31 | 0.1745 | G03B21 | 0.0837 | A45C11 | 0.0503 | Y10S903 | 0.0339 |
G06T17 | 0.1742 | G01S13 | 0.0827 | B60R21 | 0.0499 | G03B2205 | 0.0339 |
H03K17 | 0.1717 | G10L13 | 0.0827 | H04H40 | 0.0499 | G01T1 | 0.0338 |
A61M5 | 0.1710 | H04R5 | 0.0826 | H01Q7 | 0.0497 | H04L2025 | 0.0337 |
Y02E60 | 0.1706 | Y10T16 | 0.0825 | G06T2215 | 0.0496 | G10H2240 | 0.0335 |
A61B17 | 0.1702 | B60W2550 | 0.0814 | H01S5 | 0.0495 | B29L2031 | 0.0334 |
Y10T428 | 0.1675 | H04R29 | 0.0809 | G01L1 | 0.0494 | H01B1 | 0.0331 |
B60R16 | 0.1659 | G01N2201 | 0.0803 | B81B2201 | 0.0488 | H05K9 | 0.0330 |
H04M2201 | 0.1651 | G08B5 | 0.0799 | B60L2260 | 0.0486 | B60R7 | 0.0329 |
B60W50 | 0.1629 | H01R13 | 0.0795 | G06G1 | 0.0483 | H03K2017 | 0.0328 |
G01R33 | 0.1619 | G06N3 | 0.0790 | G08G5 | 0.0483 | Y10T436 | 0.0328 |
G07F7 | 0.1612 | H03K19 | 0.0788 | B60L1 | 0.0482 | B64C39 | 0.0327 |
G09G2380 | 0.1609 | A63B69 | 0.0781 | Y02B70 | 0.0482 | Y02B90 | 0.0325 |
H01L2933 | 0.1607 | B81C1 | 0.0779 | H01F38 | 0.0480 | H04J13 | 0.0325 |
A61B2034 | 0.1588 | G03F7 | 0.0774 | G07C2209 | 0.0480 | B32B2307 | 0.0324 |
B60K35 | 0.1558 | G06Q90 | 0.0762 | H02M7 | 0.0476 | A61F5 | 0.0324 |
H01L28 | 0.1541 | H02J5 | 0.0761 | G09B21 | 0.0475 | G01N2800 | 0.0322 |
H05K2203 | 0.1537 | H04H2201 | 0.0760 | G09G2350 | 0.0474 | F21Y2105 | 0.0322 |
G10L2015 | 0.1530 | G09B29 | 0.0751 | F21Y2101 | 0.0472 | H04Q11 | 0.0321 |
G09B19 | 0.1525 | C12Q1 | 0.0751 | Y04S40 | 0.0467 | H02J2003 | 0.0319 |
A61B90 | 0.1458 | G08B6 | 0.0749 | G01K13 | 0.0467 | G03B37 | 0.0315 |
G01B11 | 0.1444 | A61F9 | 0.0742 | G05D2201 | 0.0463 | G01D4 | 0.0311 |
H01L51 | 0.1442 | Y10T156 | 0.0733 | C09K11 | 0.0460 | G07F9 | 0.0310 |
B60L2240 | 0.1427 | H03F3 | 0.0732 | B32B2457 | 0.0456 | H03H7 | 0.0310 |
G06F7 | 0.1427 | G02F2201 | 0.0729 | H01L41 | 0.0456 | B64C2201 | 0.0309 |
B60W40 | 0.1390 | H04S7 | 0.0723 | G07B15 | 0.0456 | C23C14 | 0.0309 |
H04J3 | 0.1381 | H02J3 | 0.0720 | G11C8 | 0.0453 | G01B21 | 0.0307 |
G09G2310 | 0.1361 | Y04S30 | 0.0719 | C23C16 | 0.0450 | B60L2220 | 0.0304 |
G11C29 | 0.1346 | B60W2050 | 0.0713 | H04R2225 | 0.0443 | B82Y40 | 0.0304 |
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Oh, S., Choi, J., Ko, N. et al. Predicting product development directions for new product planning using patent classification-based link prediction. Scientometrics 125, 1833–1876 (2020). https://doi.org/10.1007/s11192-020-03709-w
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DOI: https://doi.org/10.1007/s11192-020-03709-w