Graduate Certificate in Social Network Analysis for Digital Humanities

Monday, 13 October 2025 19:48:51

International applicants and their qualifications are accepted

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Overview

Overview

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Social Network Analysis is revolutionizing Digital Humanities research. This Graduate Certificate equips you with the skills to analyze complex social structures within digital environments.


Learn to apply advanced techniques in network visualization and data mining to historical datasets, literary texts, and online communities. Explore social media analysis and its applications to various research questions. The program is perfect for humanities scholars, librarians, and archivists seeking to enhance their research methodologies.


Our Social Network Analysis program offers rigorous training and real-world applications. Master the tools to unlock insights hidden within networked data. Develop cutting-edge research projects. Gain a competitive edge in the digital humanities.


Explore the program today and transform your research. Enroll now!

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Social Network Analysis is revolutionizing Digital Humanities research. Our Graduate Certificate equips you with cutting-edge skills in analyzing digital networks, uncovering hidden patterns in historical data, and visualizing complex social structures. Learn advanced techniques in network visualization and data mining using Python. This program provides invaluable career prospects in academia, digital archives, and cultural heritage institutions. Gain a competitive edge with our unique focus on applying social network analysis to humanities datasets. Develop your expertise and unlock new research avenues.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Introduction to Social Network Analysis for Digital Humanities
• Network Visualization and Mapping
• Social Network Analysis Methods: Centrality and Structural Equivalence
• Digital Humanities Data Sources for Social Network Analysis (e.g., Twitter, Facebook, Archives)
• Qualitative and Quantitative Analysis of Social Networks
• Network Dynamics and Evolution
• Advanced Social Network Analysis: Community Detection and Structural Holes
• Ethical Considerations in Social Network Analysis and Digital Humanities Research
• Case Studies in Social Network Analysis: Applications in the Digital Humanities

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:

1 month (Fast-track mode): 140
2 months (Standard mode): 90

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Social Network Analysis & Digital Humanities) Description
Digital Humanities Researcher (Network Analysis) Conducting advanced social network analysis to uncover patterns in historical data, publications, and cultural artifacts. High demand for expertise in network visualization.
Data Scientist (Social Network Focus) Applying network science principles to large datasets, developing predictive models, and extracting insights related to social interactions and online communities. Strong programming skills required.
Social Media Analyst (Network Analytics) Analyzing social media networks, understanding influence, sentiment, and community structures to inform marketing and public relations strategies. Requires experience with social network analysis tools.
Network Visualization Specialist Creating engaging and insightful visualizations of complex networks for academic publications, presentations, and industry reports. Experience with network graph software essential.

Key facts about Graduate Certificate in Social Network Analysis for Digital Humanities

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A Graduate Certificate in Social Network Analysis for Digital Humanities equips students with the advanced skills needed to analyze complex social structures using computational methods. The program focuses on applying network theory and analysis techniques to diverse digital humanities datasets.


Learning outcomes include mastering software packages for social network analysis (SNA), such as Gephi and NodeXL, and developing a strong understanding of network metrics, visualization techniques, and qualitative research methods. Students will be able to design, execute, and interpret SNA projects related to historical events, literary texts, or cultural trends. This is crucial for digital scholarship.


Typically, this certificate program can be completed within one year of part-time study, or less with full-time enrollment. The exact duration may vary depending on the institution and the number of courses required. The flexible structure accommodates working professionals.


The skills gained through a Graduate Certificate in Social Network Analysis for Digital Humanities are highly relevant to various fields. Graduates find employment opportunities in academia, digital libraries, museums, archives, and cultural heritage institutions. The ability to perform social network analysis using digital tools is increasingly valued across different sectors requiring data analysis and visualization.


The program provides a strong foundation in quantitative and qualitative methods, crucial for careers in data science and digital humanities research. This combination makes graduates highly competitive in the job market, particularly roles requiring advanced data analysis and interpretation within a humanistic context. Data mining and network visualization are key skills learned.

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Why this course?

Year Digital Humanities Job Postings mentioning Social Network Analysis
2021 150
2022 200
2023 250

A Graduate Certificate in Social Network Analysis is increasingly significant for Digital Humanities professionals in the UK. The growing need for researchers and analysts skilled in interpreting complex social structures within digital environments is driving demand. Social Network Analysis techniques are crucial for projects involving online communities, historical networks, and digital archives. Recent UK job market trends show a substantial rise in postings requiring these skills. For instance, the number of job postings mentioning “Social Network Analysis” in Digital Humanities roles has increased significantly in the past three years (see chart and table). This reflects a burgeoning industry need for professionals proficient in visualizing and analyzing social connections using advanced methodologies.

Who should enrol in Graduate Certificate in Social Network Analysis for Digital Humanities?

Ideal Audience for a Graduate Certificate in Social Network Analysis for Digital Humanities
A Graduate Certificate in Social Network Analysis for Digital Humanities is perfect for researchers and professionals seeking to leverage the power of network science. Are you a humanities scholar (perhaps one of the approximately 130,000 humanities researchers in the UK) interested in applying computational methods to understand complex social interactions? Do you want to master data visualization techniques to present insightful findings from digital archives, historical texts, or online communities? This certificate equips you with the analytical skills needed to extract meaningful insights from large datasets, utilising software like Gephi or R. Whether you're studying literature, history, or other humanities disciplines, the skills learned can significantly enhance your research impact and open doors to collaborative projects. If you aspire to conduct quantitative analysis using qualitative data and advance your career in academia or the digital humanities industry, this is the perfect program for you.