Network Science & Social Network Analysis Certification

The Network Science & Social Network Analysis Certification is a free advanced-level, 25-minute skill test from Science of Apps. It tests network science and social network analysis — graphs, nodes, edges and adjacency matrices, directed, weighted and bipartite networks, degree distributions and scale-free networks, random graph models, small-world networks and clustering, centrality measures such as degree, betweenness, closeness, eigenvector and PageRank, community detection and modularity, homophily and triadic closure, weak ties and structural holes, diffusion, contagion and epidemic models on networks, network robustness, link prediction and graph embeddings, and tools such as NetworkX — written to Barabási's Network Science, NetworkX documentation and SNA research for 2026 and 2027. Score 70% or more on its 25 questions to earn a verifiable Network Science & Social Network Analysis certificate (SOA-NSSN). Every question is based on published standards and research — including Network Science (interactive textbook) (Albert-László Barabási), NetworkX documentation (NetworkX developers), torch.nn (PyTorch documentation) — and each answer is explained with its source.

Science of Apps offers a free Network Science & Social Network Analysis Certification, written for 2026 and 2027. It tests network basics, network models, centrality and communities, dynamics on networks and methods and applications with 25 original scenario questions in all, each naming its published source; you get an instant score and a verifiable certificate with a credential ID you can add to LinkedIn.

Read the five skill areas on this page, then take the 25-minute test online — no fee, course or sign-up. You see every answer explained when you finish. Score 70% or more and you get a Network Science & Social Network Analysis certificate straight away, on screen, as a PDF and by email, with a credential ID anyone can verify.

Yes. The questions are original scenarios written by Science of Apps, and each one is based on a public source you can read: Network Science (interactive textbook) (Albert-László Barabási); NetworkX documentation (NetworkX developers); torch.nn (PyTorch documentation); General Data Protection Regulation (full text) (gdpr-info.eu). The source is shown under each question and linked in the answer review. Science of Apps doesn't copy questions from other tests.

Five skill areas with five questions each, drawn from a bank of 10 per area so a retake brings new questions: Network Basics (Graph representation, Network types and Degree and paths); Network Models (Random graphs, Scale-free networks and Small worlds); Centrality and Communities (Centrality measures, Community detection and Social structure); Dynamics on Networks (Diffusion and contagion, Epidemics and Robustness and resilience); Methods and Applications (Link prediction and embeddings, Tools and Applications and ethics). Every question is an original scenario written to the 2026–2027 standard, with the published source named under it.

Data scientist or analyst working with relational data, Social scientist or sociology researcher, Fraud, risk or security analyst, Marketing or growth analyst studying influence and Computer science or physics student. It suits students at leading universities, career switchers and experienced professionals who want quick, verifiable proof of Network Science & Social Network Analysis knowledge in 2026 and 2027.

Math, stats and economics majors are drawn to sports analytics, social-good data work and geospatial science. Passing earns a founder-signed Science of Apps certificate with a credential ID and QR code that recruiters can verify.

A measure of how often a node lies on the shortest paths between other nodes. High-betweenness nodes act as bridges or brokers, controlling flow between parts of a network.

A network whose degree distribution roughly follows a power law, so most nodes have few links while a few hubs have very many, often produced by preferential attachment.

Yes. The test is online, in English and free everywhere — people take it from India, the US, the UK, Europe, Africa, Latin America and Asia-Pacific. Your certificate is dated with your own local date and can be verified from anywhere at scienceofapps.com/certification/verify/.

25 questions — 5 from each of 5 skill areas — with a 25-minute limit. You need 70% (18 of 25) to pass and 90% for distinction.

We rate it Advanced: assumes years in the role or deep specialist knowledge. It has 25 scenario questions — 5 from each of 5 skill areas — and a 25-minute limit. You need 70% (18 of 25) to pass and 90% for distinction.

Nothing. There is no fee to take a test, to receive the certificate, to have it emailed or to verify it, and no sign-up.

On our server, not in your browser. The answers never reach the page until you submit, so a certificate can only be earned by passing. Each certificate gets a unique credential ID stored by Science of Apps.

You see your score for each area and every question with the correct answer and why, with the published source behind it. You can retake after 30 minutes, and the retake draws questions you haven't seen yet.

No. Every certificate is dated, so it always shows when you passed. Retake a test any time for a newer date or a higher score.

Yes. After you pass, Add to LinkedIn opens the Licenses & certifications form with the certificate name, Science of Apps as the issuer, the issue date, your credential ID and the verification link filled in. You can also download it as a PDF or PNG, and it's emailed to you as a PDF.

Every certificate has a credential ID and a QR code. Scanning it, or entering the ID at scienceofapps.com/certification/verify/, shows the holder's name, the certification, the score and the issue date from our records.

No. They are Science of Apps' own assessments of applied skill. They aren't issued by a university or standards body, and they work best alongside a portfolio that shows the skills in real work.