Content
Project·AUG 26
Agent Foundry
Project-level operating layer for applying AI Agents to real projects through explicit Context, Governance, Roles, Work Contracts, Toolkits, Review, and Validat…
Project·AUG 26
R & Python & STATA Beginner Guides
Open beginner guides for data science tooling: - R Basic - Python Basic - STATA Basic Teaching-oriented repositories with reproducible examples for newcomers.
Project·AUG 26
Network Imprinting (Master's Dissertation)
Master's dissertation examining network imprinting in the venture capital industry — how early network structures shape subsequent patterns in entrepreneurial f…
Project·AUG 26
SIENA & ERGM Network Models
Implementation and examples for SIENA and ERGM network models — longitudinal and cross-sectional network analysis workflows in R. Part of the broader social net…
Project·AUG 26
Sunbelt 2013 Network Analysis
Network analysis contribution for Sunbelt 2013 — conference-related social network data and analysis.
Project·AUG 26
Film Character Network Analysis
Network analysis of film character relationships — extracting and analyzing character interaction networks from narrative text. Demonstrates network methods app…
Project·AUG 26
HR Data Analysis
Analysis of HR workforce data — exploratory and predictive analysis applied to human resources analytics contexts.
Project·AUG 26
News Agency Similarity Analysis
Text mining project comparing similarity between news agencies — computational content analysis of media text.
Project·AUG 26
Titanic Survival Prediction
Regression and classification exercise using the classic Titanic survival dataset — introductory machine learning workflow in R.
Research·AUG 26
Network Imprinting in Venture Capital
Network imprinting examines how early relational structures constrain later network evolution — applied here to venture capital ecosystems where prior investmen…
Research·AUG 26
Text Mining for Media and HR Analytics
Two application threads share a computational text and network toolkit: (1) comparing media content similarity across news agencies, and (2) extracting relation…
View·AUG 26
Agent Foundry: 프로젝트와 AI Agent 사이의 Operating Layer
AI Agent를 실제 프로젝트에 오래 붙여두면 관심사는 자연스럽게 모델 자체에서 운영 구조로 이동한다. Coding Agent는 repository를 직접 수정하고, MCP와 Tool Use를 통해 외부 시스템에 접근하며, Context Engineering, Agent Harness…
View·AUG 26
Choose SIENA or ERGM Based on Time, Not Preference
The choice between SIENA and ERGM should be driven by temporal structure of data and question, not researcher habit or software familiarity. - Multiple waves +…
View·AUG 26
Static Sites Beat CMS for Personal Knowledge Portfolios
For a personal portfolio + knowledge site like Suengj Note, a static Markdown repository with a thin presentation layer (Astro) is the right V1 architecture — n…
Note·AUG 26
ERGM: Exponential Random Graph Models for Networks
Exponential Random Graph Models (ERGMs) treat network ties as interdependent — the probability of a graph depends on structural statistics (edge count, reciproc…
Note·AUG 26
Python Basic — Self-Study Repository Structure
Open repository organizing Python fundamentals for data science learners — from basic syntax through libraries commonly used in analysis workflows. Structured a…
Note·AUG 26
SIENA: Statistical Analysis of Network Dynamics
SIENA (Simulation Investigation for Empirical Network Analysis) models longitudinal network change as a stochastic process where tie formation and dissolution d…
Note·AUG 26
Suengj Note 색상 팔레트 테스트
이번 Suengj Note 시각 정리에는 Color Hunt 팔레트 F9F7F7 / DBE2EF / 3F72AF / 112D4E 조합을 적용한다. 밝은 배경, 부드러운 서피스, 네이비 텍스트, 블루 액센트로 차분한 academic·technical 톤을 유지한다. - F9F7F7 — m…
News·AUG 22
한국은행 기준금리 결정과 통화정책 방향
한국은행 기준금리 결정과 통화정책 방향의 핵심 사실, 의미, 한계를 근거 중심으로 설명한다. 한국은행 기준금리 결정과 통화정책 방향의 핵심 사실, 의미, 한계를 근거 중심으로 설명한다. > Note: 한국은행 기준금리 결정과 통화정책 방향에 대해 무엇을 알아야 하는가? 한국은행 기준금리…
News·AUG 19
AI inference pricing and SaaS gross margin
Explain the key facts, implications, and limits of AI inference pricing and SaaS gross margin using evidence. Explain the key facts, implications, and limits of…
News·AUG 19
AI inference pricing and SaaS gross margin
Explain the key facts, implications, and limits of AI inference pricing and SaaS gross margin using evidence. 관점: Explain the key facts, implications, and limit…
Project·AUG 26
Agent Foundry
Project-level operating layer for applying AI Agents to real projects through explicit Context, Governance, Roles, Work Contracts, Toolkits, Review, and Validat…
Project·AUG 26
R & Python & STATA Beginner Guides
Open beginner guides for data science tooling: - R Basic - Python Basic - STATA Basic Teaching-oriented repositories with reproducible examples for newcomers.
Project·AUG 26
Network Imprinting (Master's Dissertation)
Master's dissertation examining network imprinting in the venture capital industry — how early network structures shape subsequent patterns in entrepreneurial f…
Project·AUG 26
SIENA & ERGM Network Models
Implementation and examples for SIENA and ERGM network models — longitudinal and cross-sectional network analysis workflows in R. Part of the broader social net…
Project·AUG 26
Sunbelt 2013 Network Analysis
Network analysis contribution for Sunbelt 2013 — conference-related social network data and analysis.
Project·AUG 26
Film Character Network Analysis
Network analysis of film character relationships — extracting and analyzing character interaction networks from narrative text. Demonstrates network methods app…
Project·AUG 26
HR Data Analysis
Analysis of HR workforce data — exploratory and predictive analysis applied to human resources analytics contexts.
Project·AUG 26
News Agency Similarity Analysis
Text mining project comparing similarity between news agencies — computational content analysis of media text.
Project·AUG 26
Titanic Survival Prediction
Regression and classification exercise using the classic Titanic survival dataset — introductory machine learning workflow in R.
Research·AUG 26
Network Imprinting in Venture Capital
Network imprinting examines how early relational structures constrain later network evolution — applied here to venture capital ecosystems where prior investmen…
Research·AUG 26
Text Mining for Media and HR Analytics
Two application threads share a computational text and network toolkit: (1) comparing media content similarity across news agencies, and (2) extracting relation…
View·AUG 26
Agent Foundry: 프로젝트와 AI Agent 사이의 Operating Layer
AI Agent를 실제 프로젝트에 오래 붙여두면 관심사는 자연스럽게 모델 자체에서 운영 구조로 이동한다. Coding Agent는 repository를 직접 수정하고, MCP와 Tool Use를 통해 외부 시스템에 접근하며, Context Engineering, Agent Harness…
View·AUG 26
Choose SIENA or ERGM Based on Time, Not Preference
The choice between SIENA and ERGM should be driven by temporal structure of data and question, not researcher habit or software familiarity. - Multiple waves +…
View·AUG 26
Static Sites Beat CMS for Personal Knowledge Portfolios
For a personal portfolio + knowledge site like Suengj Note, a static Markdown repository with a thin presentation layer (Astro) is the right V1 architecture — n…
Note·AUG 26
ERGM: Exponential Random Graph Models for Networks
Exponential Random Graph Models (ERGMs) treat network ties as interdependent — the probability of a graph depends on structural statistics (edge count, reciproc…
Note·AUG 26
Python Basic — Self-Study Repository Structure
Open repository organizing Python fundamentals for data science learners — from basic syntax through libraries commonly used in analysis workflows. Structured a…
Note·AUG 26
SIENA: Statistical Analysis of Network Dynamics
SIENA (Simulation Investigation for Empirical Network Analysis) models longitudinal network change as a stochastic process where tie formation and dissolution d…
Note·AUG 26
Suengj Note 색상 팔레트 테스트
이번 Suengj Note 시각 정리에는 Color Hunt 팔레트 F9F7F7 / DBE2EF / 3F72AF / 112D4E 조합을 적용한다. 밝은 배경, 부드러운 서피스, 네이비 텍스트, 블루 액센트로 차분한 academic·technical 톤을 유지한다. - F9F7F7 — m…
News·AUG 22
한국은행 기준금리 결정과 통화정책 방향
한국은행 기준금리 결정과 통화정책 방향의 핵심 사실, 의미, 한계를 근거 중심으로 설명한다. 한국은행 기준금리 결정과 통화정책 방향의 핵심 사실, 의미, 한계를 근거 중심으로 설명한다. > Note: 한국은행 기준금리 결정과 통화정책 방향에 대해 무엇을 알아야 하는가? 한국은행 기준금리…
News·AUG 19
AI inference pricing and SaaS gross margin
Explain the key facts, implications, and limits of AI inference pricing and SaaS gross margin using evidence. Explain the key facts, implications, and limits of…
News·AUG 19
AI inference pricing and SaaS gross margin
Explain the key facts, implications, and limits of AI inference pricing and SaaS gross margin using evidence. 관점: Explain the key facts, implications, and limit…