Creating reply network

Reply networks have a markedly different structure to retweet networks. While retweet networks often signal agreement, replies can signal discussion, deliberation, and disagreement. The network properties are the same, however: the network is directed, the source is the replier and the target is the user who is being replied to.

For this exercise we are going to create a reply network from a slightly different sample of State of the Union tweets. Those tweets have been loaded for you in sotu_replies.

यह अभ्यास पाठ्यक्रम का हिस्सा है

Analyzing Social Media Data in Python

पाठ्यक्रम देखें

अभ्यास निर्देश

Create the reply network from a pandas edge list.
Use the user's screen name as the source argument.
Use the screen name being replied to as the target argument.
Ensure that the network is a directed graph in the create_using argument.

इंटरैक्टिव व्यावहारिक अभ्यास

इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।

# Import networkx
import networkx as nx

# Create reply network from edgelist
G_reply = ____.____(
    sotu_replies,
    ____ = ____,
    ____ = ____,
    ____ = ____)
    
# Print the number of nodes
print('Nodes in reply network:', len(G_reply.nodes()))

# Print the number of edges
print('Edges in reply network:', len(G_reply.edges()))

कोड संपादित करें और चलाएँ