The graph represents a network of 83 Twitter users whose tweets in the requested range contained "lrainie", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 30 April 2020 at 02:37 UTC.
The requested start date was Thursday, 30 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 11-day, 3-hour, 22-minute period from Thursday, 16 April 2020 at 16:44 UTC to Monday, 27 April 2020 at 20:06 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 : 83
Unique Edges : 79
Edges With Duplicates : 164
Total Edges : 243
Number of Edge Types : 5
MentionsInRetweet : 95
Mentions : 65
Retweet : 66
Tweet : 12
Replies to : 5
Self-Loops : 12
Reciprocated Vertex Pair Ratio : 0.08
Reciprocated Edge Ratio : 0.148148148148148
Connected Components : 4
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 80
Maximum Edges in a Connected Component : 240
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.567546
Graph Density : 0.0198354393182486
Modularity : 0.340285
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 83 Twitter users whose tweets in the requested range contained "lrainie", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 30 April 2020 at 02:37 UTC.
The requested start date was Thursday, 30 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 11-day, 3-hour, 22-minute period from Thursday, 16 April 2020 at 16:44 UTC to Monday, 27 April 2020 at 20:06 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 : lrainie
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:
[20] pewtrusts,trend [17] future,learning [13] someone,household [13] household,lost [13] lost,job [13] job,taken [13] americans,lifetime [13] lifetime,learning [13] learning,knowledge [13] knowledge,age Top Word Pairs in Tweet in G1:
[12] acceptability,govt [11] lower,income [11] someone,household [11] household,lost [11] lost,job [11] job,taken [9] income,adults [9] adults,someone [8] 52,lower [8] taken,pay Top Word Pairs in Tweet in G2:
[13] pewtrusts,trend [13] future,learning [7] lrainie,future [7] learning,pewtrusts [7] trend,magazine [7] magazine,breaks [7] breaks,down [7] down,data [7] data,explores [7] explores,global Top Word Pairs in Tweet in G3:
[12] americans,lifetime [12] lifetime,learning [12] learning,knowledge [12] knowledge,age [12] age,shifting [12] shifting,economic [12] economic,landscape [12] landscape,reshaping [12] reshaping,work [12] work,society Top Word Pairs in Tweet in G5:
[2] senior,fellows Top Word Pairs in Tweet in G8:
[2] religious,gatherings Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G8:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8: