2 - Six Degrees, Tables, and Trees
This lesson applies networks to social connections (Six Degrees of Kevin Bacon), represents network data in a tabular form, and distinguishes between the minimal representation of a tree and the fuller network representation that contains cycles.
In Lesson One, the students were introduced to network representation and basic terminology through a Treasure Hunt game. This lesson continues their study of networks as summarised above, covering tabular representations of networks, trees, and cycles.
In Lesson Three, students will extend their study building networks from maps and examining directed and weighted edges.
The obvious prior learning is the introduction to network diagrams and terminology from Lesson One. In addition to this, students are expected to be familiar with the use of tables from Data Analysis (MS-S1) in Stage 6 as well as use of tables in earlier stages.
Understanding trees as minimal representations of trees will be vital for Lessons Four and Five in which strudents study spanning trees, minimum spanning trees, and shortest paths.
Represent network data in a table and then translate that data into a network diagram
Investigate the differences between simple trees and more complex cyclical networks., especially highly connected networks
Apply network techniques to common connectivity problems (connection between actors)
Identify and use network terminology: tree, cycle, cyclic network, acyclic network (not included in syllabus vocabulary list)
Solve problems involving network diagrams
Students develop their awareness of the applicability of networks throughout their lives, for example social media networks (from Subtopic Focus)
Build fluency and understanding about trees, cyclical networks, and highly connected networks
Apply network techniques to common connectivity problems
(We could not find clear misconceptions in the literature so the following our from our impressions.)
Students might not realise that network data can be contained in tables
Students might consider simple trees as ideal representations of networks and not appreciate the benefits of more complex, cyclical networks, including highly connectedd networks