Issue #91

February 21, 2021

The field of Network Science has developed quickly since its birth in the late 90s with the introduction of many different concepts and techniques originating from different fields. "A First Course in Network Science" by F. Menczer, S. Fortunato and C. A. Davis, guides you through the theoretical and practical framework needed to understand the basic principles of network science and how you might apply it in your own work. The book is complemented by a GitHub repository packed full of Python examples to help you better understand the concepts as they are introduced.

A First Course in Network Science

1. Basic Intro to Elliptic Curve Cryptography [qvault.io]
2. Implementing the Elo Rating System [mattmazzola.medium.com]
3. Ditching Excel for Python – Lessons Learned from a Legacy Industry [amypeniston.com]
4. Finite State Machines [adlrocha.substack.com]
5. Nvidia Announces New Chips Designed Just for Bitcoin Mining [debugger.medium.com]
6. The world's largest Open Database of Cell Towers [alpercinar.com]
7. Pattern Matching [github.com/gvanrossum]

• DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting (D. Wu, L. Gao, X. Xiong, M. Chinazzi, A. Vespignani, Y. Ma, R. Yu)
• Machine learning and serving of discrete field theories (H. Qin)
• On the challenges of predicting microscopic dynamics of online conversations (J. Bollenbacher, D. Pacheco, P.-M. Hui, Y.-Y. Ahn, A. Flammini, F. Menczer)
• Patterns, predictions, and actions: A story about machine learning (M. Hardt, B. Recht)
• Evaluating Node Embeddings of Complex Networks (A. Dehghan-Kooshkghazi, B. Kamiński, Ł. Kraiński, P. Prałat, F. Théberge)
• A quantitative Modeling Method of Occupant Behavior of Office Building Based on Human Dynamics (X. Zhou, Y. Mei, J. Yan, L. Liang)
• Reinforced Contact Tracing and Epidemic Intervention (T. Feng, S. Song, T. Xia, Y. Li)

When Booleans Are Not Enough... State Machines?

February 21, 2021

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