The graph represents a network of 30 Twitter users whose tweets in the requested range contained "#CDCTips", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 30 November 2020 at 15:11 UTC.
The requested start date was Saturday, 28 November 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 0-hour, 58-minute period from Saturday, 14 November 2020 at 14:01 UTC to Thursday, 26 November 2020 at 15:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 30
Unique Edges : 4
Edges With Duplicates : 57
Total Edges : 61
Number of Edge Types : 3
Retweet : 23
MentionsInRetweet : 23
Tweet : 15
Self-Loops : 15
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 8
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 21
Maximum Edges in a Connected Component : 46
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.770925
Graph Density : 0.0252873563218391
Modularity : 0.3104
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 30 Twitter users whose tweets in the requested range contained "#CDCTips", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 30 November 2020 at 15:11 UTC.
The requested start date was Saturday, 28 November 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 0-hour, 58-minute period from Saturday, 14 November 2020 at 14:01 UTC to Thursday, 26 November 2020 at 15:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : #CDCTips
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[16] smoking,related [15] geri,lives [15] lives,smoking [15] related,copd [15] copd,less [15] less,less [15] less,energy [15] energy,things [15] things,loves [15] loves,#cdctips Top Word Pairs in Tweet in G1:
[15] geri,lives [15] lives,smoking [15] smoking,related [15] related,copd [15] copd,less [15] less,less [15] less,energy [15] energy,things [15] things,loves [15] loves,#cdctips Top Word Pairs in Tweet in G2:
[4] quit,smoking [2] becky,started [2] started,smoking [2] smoking,cigarettes [2] cigarettes,high [2] high,school [2] school,suffers [2] suffers,chronic [2] chronic,obstructive [2] obstructive,pulmonary Top Word Pairs in Tweet in G3:
[2] #lnk,becky [2] becky,started [2] started,smoking [2] smoking,cigarettes [2] cigarettes,high [2] high,school [2] school,suffers [2] suffers,chronic [2] chronic,obstructive [2] obstructive,pulmonary Top Word Pairs in Tweet in G4:
[2] quit,smoking [2] becky,started [2] started,smoking [2] smoking,cigarettes [2] cigarettes,high [2] high,school [2] school,suffers [2] suffers,chronic [2] chronic,obstructive [2] obstructive,pulmonary Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: