L6--Programming task—Bipartite network analysis (15’)

Bipartite network:
A network consists of two sets of nodes and edges only connect nodes from different sets of
nodes. https://networkx.org/documentation/stable/reference/algorithms/bipartite.html

Deliverable:
a) A short report (800 words ± 10%) presenting and elaborating the analysis results of the
questions below.
b) The python code
c) Deadline: By March 18, 11:55pm

Dataset: plant pollinator network
This is a bipartite network modeling insect-plant pollinating relationships. In the
node_L6.csv file, insects are the nodes with the value of ‘pollinator’ equal to 1, and plants are
the other node set with the value of ‘pollinator’ equal to 0.

In this task, you all are invited to generate a short report (around 800 words) about the
analysis results of this bipartite network by addressing the questions below. (you can use
methods beyond network analysis to address the questions, if appropriate)

More information about the dataset can be found from this article:
Kato, M., Kakutani, T., Inoue, T., & Itino, T. (1990). Insect-flower relationship in the primary beech
forest of Ashu, Kyoto: an overview of the flowering phenology and the seasonal pattern of insect
visits. Contributions from the biological laboratory, Kyoto University, 27(4), 309-376.

Questions
1. Import the dataset and construct a bipartite network and report the summary
information of the bipartite network. Please make sure to interpret the results within
context (e.g the number of nodes in node_set_1 is 1000, which means there are 1000
insects in the dataset)
a. Number of nodes in each node set
b. Number of edges in the bipartite network
2. What plants are pollinated by the most insects? What insects pollinate the most plants?
3. Which pair of insects are the strongest competitors to each other? (they pollinate the
largest number of same plants)
4. Project the bipartite network into two one-mode networks
a. Interpret the two projected networks (what do the edges mean in each projected
network?).
a. Provide the summary information of the two projected networks (e.g. number
of nodes, number of edges, average degree) as well as interpret this information
in context.
5. Identify the nodes with the largest degree centrality in both projected networks
a. Interpret the meaning of degree centrality within this context
b. Compare the results with question 2, discuss the differences of these two results
6. Identify the isolated nodes in each projected network (if there are any), and regardless,
interpret the meaning of isolated nodes in context.
7. Analyze the subgroups in the two projected networks by selecting an appropriate cluster
analysis approach, and explain the results (refer to Lecture 4)
8. Compute and report the degree assortativity coefficient in the two projected networks
and explain the result in context
9. Visualization the bipartite network as well as the two projected networks.
a. In the bipartite network, color the node based on the “pollinator” value
b. In the two projected networks, size the nodes based on the degree centrality.

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