IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i2p1003-d483288.html
   My bibliography  Save this article

Partner Selection in China Interorganizational Patent Cooperation Network Based on Link Prediction Approaches

Author

Listed:
  • Wei Chen

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Hui Qu

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Kuo Chi

    (School of Information and Communication Engineering, Hainan University, Haikou 570228, China)

Abstract

To enhance competitiveness and protect interest, an increasing number of organizations cooperate on patent applications. Partner selection has attracted much more attention because it directly affects the success of patent cooperation. By collecting some cooperative patents applied for by different categories of organizations in China from 2007 to 2015, an interorganizational patent cooperation network was built for this paper. After analyzing certain basic properties of the network, it was found that the network possessed some typical characteristics of social networks. Moreover, the network could be divided into communities, and three communities were selected to analyze as representative. Furthermore, to explore the partner selection in the patent cooperation network, eight link prediction approaches commonly used in social networks were introduced to run on another interorganizational patent cooperation network built by the patents applied for in 2016. The precision metric results of the eight link prediction approaches show that they are effective in partnership prediction; in particular, the Common Neighbors (CN) index can be effectively applied to the selection of unfamiliar partners for organizations in patent cooperation. Moreover, this paper also verified the trust transitivity based not only on historical cooperation but also on geographical location, and the complementarity of capabilities still plays an important role in partner selection for organizations.

Suggested Citation

  • Wei Chen & Hui Qu & Kuo Chi, 2021. "Partner Selection in China Interorganizational Patent Cooperation Network Based on Link Prediction Approaches," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:1003-:d:483288
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/2/1003/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/2/1003/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Reshma H. Shah & Vanitha Swaminathan, 2008. "Factors influencing partner selection in strategic alliances: the moderating role of alliance context," Strategic Management Journal, Wiley Blackwell, vol. 29(5), pages 471-494, May.
    2. Zeng, Shan, 2016. "Link prediction based on local information considering preferential attachment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 537-542.
    3. Joel A. C. Baum & Robin Cowan & Nicolas Jonard, 2010. "Network-Independent Partner Selection and the Evolution of Innovation Networks," Management Science, INFORMS, vol. 56(11), pages 2094-2110, November.
    4. Antonio Messeni Petruzzelli & Gianluca Murgia, 2020. "University–Industry collaborations and international knowledge spillovers: a joint-patent investigation," The Journal of Technology Transfer, Springer, vol. 45(4), pages 958-983, August.
    5. Savin, Ivan & Egbetokun, Abiodun, 2016. "Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 82-103.
    6. Zhou, Wen & Jia, Yifan, 2017. "Predicting links based on knowledge dissemination in complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 561-568.
    7. Reusen, Evelien & Stouthuysen, Kristof, 2020. "Trust transfer and partner selection in interfirm relationships," Accounting, Organizations and Society, Elsevier, vol. 81(C).
    8. Kyriakos Drivas & Claire Economidou, 2015. "Is geographic nearness important for trading ideas? Evidence from the US," The Journal of Technology Transfer, Springer, vol. 40(4), pages 629-662, August.
    9. Mario A. Maggioni & Mario Nosvelli & Teodora Erika Uberti, 2007. "Space versus networks in the geography of innovation: A European analysis," Papers in Regional Science, Wiley Blackwell, vol. 86(3), pages 471-493, August.
    10. Kölle, Felix, 2015. "Heterogeneity and cooperation: The role of capability and valuation on public goods provision," Journal of Economic Behavior & Organization, Elsevier, vol. 109(C), pages 120-134.
    11. Gong, Binglin & Yang, Chun-Lei, 2019. "Cooperation through indirect reciprocity: The impact of higher-order history," Games and Economic Behavior, Elsevier, vol. 118(C), pages 316-341.
    12. Mario Maggioni & Teodora Uberti, 2009. "Knowledge networks across Europe: which distance matters?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 691-720, September.
    13. Tao Zhou & Linyuan Lü & Yi-Cheng Zhang, 2009. "Predicting missing links via local information," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 623-630, October.
    14. Delerue, Hélène, 2018. "Shadow of joint patents: Intellectual property rights sharing by SMEs in contractual R&D alliances," Journal of Business Research, Elsevier, vol. 87(C), pages 12-23.
    15. Gattringer, Regina & Wiener, Melanie & Strehl, Franz, 2017. "The challenge of partner selection in collaborative foresight projects," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 298-310.
    16. Liu, Yangyang & Zhao, Chengli & Wang, Xiaojie & Huang, Qiangjuan & Zhang, Xue & Yi, Dongyun, 2016. "The degree-related clustering coefficient and its application to link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 454(C), pages 24-33.
    17. Song, Bomi & Seol, Hyeonju & Park, Yongtae, 2016. "A patent portfolio-based approach for assessing potential R&D partners: An application of the Shapley value," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 156-165.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yan Qi & Xin Zhang & Zhengyin Hu & Bin Xiang & Ran Zhang & Shu Fang, 2022. "Choosing the right collaboration partner for innovation: a framework based on topic analysis and link prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5519-5550, September.
    2. Park, Mingyu & Geum, Youngjung, 2022. "Two-stage technology opportunity discovery for firm-level decision making: GCN-based link-prediction approach," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    3. Satyaki Roy & Ahmad F. Al Musawi & Preetam Ghosh, 2023. "Inferring links in directed complex networks through feed forward loop motifs," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    4. Huang, Lu & Chen, Xiang & Ni, Xingxing & Liu, Jiarun & Cao, Xiaoli & Wang, Changtian, 2021. "Tracking the dynamics of co-word networks for emerging topic identification," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    5. Xinyang Wu & Chuying Chen, 2022. "Spatial Distribution and Accessibility of High Level Scenic Spots in Inner Mongolia," Sustainability, MDPI, vol. 14(12), pages 1-13, June.
    6. Lu Huang & Xiang Chen & Yi Zhang & Yihe Zhu & Suyi Li & Xingxing Ni, 2021. "Dynamic network analytics for recommending scientific collaborators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 8789-8814, November.
    7. Yuewei Wang & Hang Chen & Xinyang Wu, 2021. "Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow," Sustainability, MDPI, vol. 13(21), pages 1-16, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guiqiong Xu & Chen Dong & Lei Meng, 2022. "Research on the Collaborative Innovation Relationship of Artificial Intelligence Technology in Yangtze River Delta of China: A Complex Network Perspective," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    2. Juhyun Lee & Sangsung Park & Junseok Lee, 2023. "Exploring Potential R&D Collaboration Partners Using Embedding of Patent Graph," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    3. Mueller, Falko, 2023. "Link and edge weight prediction in air transport networks — An RNN approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).
    4. Tom Broekel & Matthias Brachert, 2015. "The structure and evolution of inter-sectoral technological complementarity in R&D in Germany from 1990 to 2011," Journal of Evolutionary Economics, Springer, vol. 25(4), pages 755-785, September.
    5. Laurent R. Bergé, 2017. "Network proximity in the geography of research collaboration," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 785-815, November.
    6. Sara Amoroso & Alex Coad & Nicola Grassano, 2017. "European R&D networks: A snapshot from the 7th EU Framework Programme," JRC Working Papers on Corporate R&D and Innovation JRC107546, Joint Research Centre (Seville site).
    7. Aurélien Fichet de Clairfontaine & Manfred Fischer & Rafael Lata & Manfred Paier, 2015. "Barriers to cross-region research and development collaborations in Europe: evidence from the fifth European Framework Programme," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 577-590, March.
    8. Chung, Jaemin & Ko, Namuk & Yoon, Janghyeok, 2021. "Inventor group identification approach for selecting university-industry collaboration partners," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    9. Lorenzo Zirulia, 2023. "Path dependence in evolving R&D networks," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 149-177, January.
    10. Fabius Abrahão Torreão Esteves & Claude Pirmez & Manuela da Silva & Carla Torreão Esteves & Andréa Torreão Esteves & Roberto Pierre Chagnon & Elton Fernandes, 2016. "Social Network Analysis as an Analytical Archetype of R&D National Networks: Case Study in Culture Collections of Brazil and Japan," Review of Social Sciences, LAR Center Press, vol. 1(5), pages 1-17, May.
    11. Di Cagno, Daniela & Fabrizi, Andrea & Meliciani, Valentina & Wanzenböck, Iris, 2016. "The impact of relational spillovers from joint research projects on knowledge creation across European regions," Technological Forecasting and Social Change, Elsevier, vol. 108(C), pages 83-94.
    12. Christ, Julian P., 2009. "The geography and co-location of European technology-specific co-inventorship networks," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 31/2010, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    13. Peng Liu & Liang Gui & Huirong Wang & Muhammad Riaz, 2022. "A Two-Stage Deep-Learning Model for Link Prediction Based on Network Structure and Node Attributes," Sustainability, MDPI, vol. 14(23), pages 1-15, December.
    14. Scott W. Cunningham & Claudia Werker, 2012. "Proximity and collaboration in European nanotechnology," Papers in Regional Science, Wiley Blackwell, vol. 91(4), pages 723-742, November.
    15. Ernest Miguélez & Rosina Moreno, 2013. "“Mobility, networks and innovation: The role of regions’ absorptive capacity”," IREA Working Papers 201316, University of Barcelona, Research Institute of Applied Economics, revised Oct 2013.
    16. Ivan Savin, 2021. "On optimal regimes of knowledge exchange: a model of recombinant growth and firm networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 497-527, July.
    17. Koen Frenken & Roderik Ponds & Frank Van Oort, 2010. "The citation impact of research collaboration in science‐based industries: A spatial‐institutional analysis," Papers in Regional Science, Wiley Blackwell, vol. 89(2), pages 351-271, June.
    18. Marina Van Geenhuizen & Pieter Stek, 2015. "Mapping innovation in the global photovoltaic industry: a bibliometric approach to cluster identification and analysis," ERSA conference papers ersa15p697, European Regional Science Association.
    19. Savin, Ivan & Egbetokun, Abiodun, 2016. "Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 82-103.
    20. Pier Paolo Angelini, "undated". "The role of inter-organizational proximity on the evolution of the European Aerospace R&D collaboration network," CERIS Working Paper 201402, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:1003-:d:483288. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.