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Updated figures in documentation
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heileman committed Jan 9, 2019
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8 changes: 4 additions & 4 deletions src/CurricularAnalytics.jl
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Expand Up @@ -153,7 +153,7 @@ and ``v_4``, shown below. In part (a) of this figure, ``v_1`` is a prerequisite
for course ``v_4``, while in part (b), courses ``v_1`` and ``v_2`` are prerequisites for course ``v_3``, and ``v_3`` is a prerequisite for
course ``v_4``.
![blocking factor example](./blocking_ex.pdf)
![blocking factor example](./blocking_ex.png)
The blocking factor of each course is shown inside of the course vertices in this figure. Notice that the blocking factor of a course ``v_i``
is given by the number of courses in the graph that are reachable from ``v_i``.
Expand Down Expand Up @@ -206,7 +206,7 @@ will then be delayed in completing the entire pathway by one term. The delay fac
As an example of the delay factor metric, consider the same four-course curricula shown above. The delay factor of each course
is shown inside of the course vertices in the figure below.
![delay factor example](./delay_ex.pdf)
![delay factor example](./delay_ex.png)
Notice that the blocking factor of a course is given by the longest path in the curriculum that a course is on.
"""
Expand Down Expand Up @@ -278,7 +278,7 @@ in the curriculum. The centrality metric is meant to capture this notion.
As an example of the centrality factor metric, consider the same four-course curricula shown above.
The centrality factor of each course is shown inside of the course vertices in the figure below.
![centrality factor example](./centrality_ex.pdf)
![centrality factor example](./centrality_ex.png)
Notice that the centralities of source and sink vertices are 0. In the case of the curriculum in part (a),
there is one path of length three that includes course ``v_2``, hence its centrality is 3, while in part (b), there are
Expand Down Expand Up @@ -335,7 +335,7 @@ structural complexity of a curriculum.
As an example of the complexity factor metric, consider the same four-course curricula shown above.
The compleixty factor of each course is shown inside of the course vertices in this figure.
![complexity factor example](./complexity_ex.pdf)
![complexity factor example](./complexity_ex.png)
"""
function complexity(c::Curriculum, course::Int)
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