Fix citation and hide cell inputs

Author: HengchengZhang

lectures/_static/quant-econ.bib

@@ -2561,3 +2561,60 @@ @article{hog_cycle
 abstract = {Abstract A surprisingly regular four year cycle in hogs has become apparent in the past ten years. This regularity presents an unusual opportunity to study the mechanism of the cycle because it suggests the cycle may be inherent within the industry rather than the result of lagged responses to outside influences. The cobweb theorem is often mentioned as a theoretical tool for explaining the hog cycle, although a two year cycle is usually predicted. When the nature of the hog industry is examined, certain factors become apparent which enable the cobweb theorem to serve as a theoretical basis for the present four year cycle.},
 year = {1960}
 }
+
+@book{jackson2010social,
+  title={Social and economic networks},
+  author={Jackson, Matthew O},
+  year={2010},
+  publisher={Princeton university press}
+}
+
+@book{easley2010networks,
+  title={Networks, crowds, and markets},
+  author={Easley, David and Kleinberg, Jon and others},
+  volume={8},
+  year={2010},
+  publisher={Cambridge university press Cambridge}
+}
+
+@book{borgatti2018analyzing,
+  title={Analyzing social networks},
+  author={Borgatti, Stephen P and Everett, Martin G and Johnson, Jeffrey C},
+  year={2018},
+  publisher={Sage}
+}
+
+@article{sargent2022economic,
+  title={Economic Networks: Theory and Computation},
+  author={Sargent, Thomas J and Stachurski, John},
+  journal={arXiv preprint arXiv:2203.11972},
+  year={2022}
+}
+
+@book{goyal2023networks,
+  title={Networks: An economics approach},
+  author={Goyal, Sanjeev},
+  year={2023},
+  publisher={MIT Press}
+}
+
+@book{newman2018networks,
+  title={Networks},
+  author={Newman, Mark},
+  year={2018},
+  publisher={Oxford university press}
+}
+
+@book{menczer2020first,
+  title={A first course in network science},
+  author={Menczer, Filippo and Fortunato, Santo and Davis, Clayton A},
+  year={2020},
+  publisher={Cambridge University Press}
+}
+
+@article{coscia2021atlas,
+  title={The atlas for the aspiring network scientist},
+  author={Coscia, Michele},
+  journal={arXiv preprint arXiv:2101.00863},
+  year={2021}
+}

lectures/networks.md

@@ -78,13 +78,11 @@ To better understand such networks, let's look at some examples in more depth.
 
 ### Example: Aircraft Exports
 
-TODO hide the code
-
 The following figure shows international trade in large commercial aircraft in 2019 based on International Trade Data SITC Revision 2.
 
 ```{code-cell} ipython3
 ---
-tags: ["hide_input"]
+tags: ["hide-input"]
 mystnb:
   figure:
     caption: "Commercial Aircraft Network \n"
@@ -176,7 +174,7 @@ where the states are
 Let's examine the following figure.
 
 ```{code-cell} ipython3
-:tags: ["hide_input"]
+:tags: ["hide-input"]
 from graphviz import Digraph
 
 dot = Digraph(comment='Graph')
@@ -477,7 +475,7 @@ loans) between private banks, grouped by country of origin.
 
 ```{code-cell} ipython3
 ---
-tags: ["hide_cell"]
+tags: ["hide-input"]
 mystnb:
   figure:
     caption: "International Credit Network \n"
@@ -587,7 +585,7 @@ representing edges of the induced directed graph.
 
 ```{code-cell} ipython3
 ---
-tags: ["hide_input"]
+tags: ["hide-input"]
 mystnb:
   figure:
     caption: "Weighted Poverty Trap \n"
@@ -902,7 +900,7 @@ A = np.array([[0,0.7,0.3],    #adjacency matrix A
 ```
 
 ```{code-cell} ipython3
-:tags: ["hide_cell"]
+:tags: ["hide-input"]
 def is_irreducible(P):
     n = len(P)
     result = np.zeros((n, n))
@@ -1318,79 +1316,17 @@ In this case the US clearly dominates the rankings as a target of interbank cred
 
 ## Further Reading
 
-We apply the ideas discussed in this lecture to [TODO link to our lecture on
-production networks].
-
-Textbooks on economic and social networks include \cite{jackson2010social},
-\cite{easley2010networks}, \cite{borgatti2018analyzing},
-\cite{sargent2022economic}, and \cite{goyal2023networks}.
-
-@article{sargent2022economic,
-  title={Economic Networks: Theory and Computation},
-  author={Sargent, Thomas J and Stachurski, John},
-  journal={arXiv preprint arXiv:2203.11972},
-  year={2022}
-}
-
-+++
+We apply the ideas discussed in this lecture to:
 
-@book{borgatti2018analyzing,
-  title={Analyzing social networks},
-  author={Borgatti, Stephen P and Everett, Martin G and Johnson, Jeffrey C},
-  year={2018},
-  publisher={Sage}
-}
-
-@book{jackson2010social,
-  title={Social and economic networks},
-  author={Jackson, Matthew O},
-  year={2010},
-  publisher={Princeton university press}
-}
-
-@book{easley2010networks,
-  title={Networks, crowds, and markets},
-  author={Easley, David and Kleinberg, Jon and others},
-  volume={8},
-  year={2010},
-  publisher={Cambridge university press Cambridge}
-}
-
-@book{goyal2023networks,
-  title={Networks: An economics approach},
-  author={Goyal, Sanjeev},
-  year={2023},
-  publisher={MIT Press}
-}
+Textbooks on economic and social networks include {cite}`jackson2010social`,
+{cite}`easley2010networks`, {cite}`borgatti2018analyzing`,
+{cite}`sargent2022economic` and {cite}`goyal2023networks`.
 
 +++
 
 Within the realm of network science, the texts
-by \cite{newman2018networks}, \cite{menczer2020first} and
-\cite{coscia2021atlas} are excellent.
-
-+++
-
-@book{newman2018networks,
-  title={Networks},
-  author={Newman, Mark},
-  year={2018},
-  publisher={Oxford university press}
-}
-
-@book{menczer2020first,
-  title={A first course in network science},
-  author={Menczer, Filippo and Fortunato, Santo and Davis, Clayton A},
-  year={2020},
-  publisher={Cambridge University Press}
-}
-
-@article{coscia2021atlas,
-  title={The atlas for the aspiring network scientist},
-  author={Coscia, Michele},
-  journal={arXiv preprint arXiv:2101.00863},
-  year={2021}
-}
+by {cite}`newman2018networks`, {cite}`menczer2020first` and
+{cite}`coscia2021atlas` are excellent.
 
 +++