CNET 5052 — Advanced Tools for Complex Network Analysis

4 semester hoursGraduateLectureusually offered: springtypical days: TBostonTraditional

Delves into more advanced techniques for analyzing large, complex networks such as filtering, backboning, and embedding. Demonstrates how the presence of extra network features, such as a temporal dimension, requires more advanced and computationally demanding techniques. Presents a more formal treatment of network generative models, such as the stochastic block model; exponential random graphs with particular focus on sampling from such models; and the basics of network reconstruction involving appropriate statistical/inference methods.

Prerequisites

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Spring 2026151533%10.0

Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.

Meeting times

Share of recent sections by weekday: M 0% · T 100% · W 0% · Th 0% · F 0%

Common patterns: T (100% of sections) — in patterns, R means Thursday

Professors

Spring

Percentages are each professor's average share of the season's enrolled students in recent terms.

Unlocks

CNET 6099, CNET 6107, CNET 6108, CNET 6990

Courses that list CNET 5052 in their prerequisites.

Links

Official catalog (CNET course descriptions) · All CNET courses · Plan it at numap.app