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Network-Based Bibliometric Method for Analyzing Collaboration and Publishing Tendencies

机译:基于网络的学习方法分析协作和出版趋势

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In the recent decade, scientific collaboration across disciplines has become more effective and productive in terms of solutions. The integration of sciences makes our life better and easier to practice. Most of our life needs are the result of involving theories and concepts from a discipline to another. Therefore, it is important to look for which disciplines that can be more productive in terms of addressing our everyday life issues. Moreover, it is crucial for researchers to target appropriate venues (journal/ conference) for their works aiming at making their contributions more reliable and trustable by passing them through experts. In this work, we aim at generating a multidiscipline co-authorship network and investigate the tendency of researchers in selecting venues for publishing their articles. We also investigate the collaboration in disciplines and across disciplines, which is important for strengthening the quality of researches. Furthermore, we plan to use a network-based bibliometric method and the concepts of complex network in our analysis approach. Finally, we believe that this study will positively contribute in; 1) support the decision of scientific researchers in targeting the appropriate venues for their contributions. 2) Support researchers to be aware on their collaboration partners in order to produce effective contributions.
机译:近十年来,跨学科的科学合作在解决方案方面变得更加有效和富有成效。科学的整合使我们的生活更好,更容易练习。我们的大多数人的生活需求是涉及到另一个学科的理论和概念的结果。因此,重要的是要在解决日常生活问题方面寻找哪些学科。此外,对于针对他们的作品来说,研究人员对他们的作品来说至关重要,以便通过专家通过他们更加可靠和可信赖的作品。在这项工作中,我们的目标是产生多学科共同作者网络,并调查研究人员在选择出版文章的场地的趋势。我们还调查学科和跨学科的合作,这对于加强研究质量非常重要。此外,我们计划在我们的分析方法中使用基于网络的派对法和复杂网络的概念。最后,我们认为这项研究将积极贡献; 1)支持科学研究人员的决定,以瞄准适当的场地。 2)支持研究人员了解他们的合作伙伴,以产生有效的贡献。

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