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I have a corpus of scholarly records and need a clear, well-documented bibliometric analysis that culminates in easy-to-read network maps. Your task is to take the dataset I’ll supply, run the appropriate analyses—citations, co-authorship, keyword co-occurrence or a mix as you see fit—and deliver both the raw outputs and a brief interpretive summary. I’m flexible on the platform; whether you prefer VOSviewer, Gephi, CiteSpace or another established toolkit, just let me know why it is the best fit and make sure the final visuals are high-resolution and publication-ready. Please also share the project file so I can replicate or extend the work later. When finished, I expect: • Cleaned dataset and any scripts or configuration files • Network maps (PNG + editable format) with clear legends • A short narrative (2-3 pages) explaining key clusters, central authors, and emerging themes If you’re experienced with bibliometrics and network science and can turn this around efficiently, I’d love to see examples of your previous mapping projects and hear how you plan to tackle mine.
Proje No: 40074353
6 teklifler
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6 freelancer bu proje için ortalama $22 NZD teklif veriyor

Hi, I see you need a bibliometric analysis of your scholarly corpus, culminating in clear, high-resolution network maps and a concise interpretive summary. With extensive experience in bibliometrics and network science, I can analyze your dataset using tools like VOSviewer, Gephi, or CiteSpace, depending on the focus (e.g., co-authorship, keyword co-occurrence, citations). I’ll ensure the dataset is thoroughly cleaned, the outputs are well-documented, and the network maps are publication-ready (PNG + editable formats). You’ll also receive the project files for reproducibility and a 2-3 page narrative explaining key clusters, central authors, and emerging themes. Could you share any specific focus areas, such as a preference for keyword clustering or author collaboration? I’m happy to share examples of previous mapping projects and discuss how I’ll tailor this analysis to your needs. Let’s collaborate to create a polished and insightful bibliometric study!
$22 NZD 2 gün içinde
6,1
6,1

Hello, I can deliver a clear, publication-ready bibliometric analysis from your scholarly corpus, including citation, co-authorship, and keyword co-occurrence networks. I regularly work with VOSviewer and Gephi—VOSviewer for robust bibliometric mapping and Gephi for advanced layout refinement and high-resolution visuals. Both allow full project-file sharing so your work is fully reproducible. You’ll receive a cleaned dataset, all project/config files, high-resolution network maps (PNG + editable formats), and a concise 2–3 page interpretive report highlighting key clusters, influential authors, and emerging themes. I focus on clarity, methodological transparency, and fast turnaround. I’m happy to share relevant examples and a brief workflow outlining how I’ll approach your dataset. Looking forward to collaborating.
$20 NZD 2 gün içinde
0,8
0,8

Hello Santosh D., We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Data Processing, Research, Data Mining, Statistical Analysis, Data Science, Data Visualization, Data Analysis, Data Management Lets connect in chat so that We discuss further. Thank You
$22 NZD 7 gün içinde
0,0
0,0

Hi! I can clean your dataset and run clear bibliometric analyses to create publication-ready network maps. I’ll use VOSviewer for high-quality visuals and provide editable project files, PNG maps, and a short, easy-to-read summary of key clusters and authors. I’m organized, detail-oriented, and ready to get started right away. Looking forward to working with you!
$30 NZD 3 gün içinde
0,0
0,0

I can perform a clear, well-documented bibliometric analysis on your scholarly dataset and deliver publication-ready network maps along with a concise interpretive summary. I have experience working with citation, co-authorship, and keyword co-occurrence analyses using established tools such as VOSviewer, Gephi, and CiteSpace, and I can recommend the most suitable platform based on your data and research goals. I will provide a cleaned dataset, all scripts or project files needed for replication, and high-resolution network visualizations (PNG plus editable formats) with clear legends. The final delivery will include a 2–3 page narrative explaining key clusters, influential authors, and emerging research themes in a clear, reader-friendly manner. I can work efficiently, maintain methodological transparency, and share relevant examples of previous bibliometric mapping work upon request.
$15 NZD 7 gün içinde
0,0
0,0

As someone with a deep passion for data analysis, I'm excited by the challenge your project presents. While my current skill set may not sync perfectly with the specifics of your task, I'm a quick learner and adapt rapidly to new tools and methodologies. My strong foundation in Microsoft Excel and Google Docs facilities will ensure systematic and efficient handling of datasets, while my proficiency in document conversion will keep your files accessible and organized. In terms of theoretical orientation, I have a strong knowledge of social network analysis and bibliometrics. I can identify key clusters, central authors and emerging themes in your network maps while providing actionable insights into your dataset. Though I may not be proficient in VOSviewer, Gephi or CiteSpace yet, I commit to mastering any necessary software(s) you prefer, having a proven track record in learning new programs quickly. Lastly, as someone who is enthusiastic about providing impeccable service, leaving no room for errors or omissions, I assure you that my work will be of the highest quality. Plus, I understand the importance of accessibility to data even after a project is completed; hence everything from scripts and files to project file(s) will be shared so that they can be easily replicated or extended later. Let’s work together to unlock the potentials of your scholarly records!
$22 NZD 7 gün içinde
0,0
0,0

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