The graph represents a network of 148 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, 17 December 2020 at 03:42 UTC.
The requested start date was Thursday, 17 December 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 11-day, 6-hour, 18-minute period from Friday, 04 December 2020 at 13:01 UTC to Tuesday, 15 December 2020 at 19:19 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 : 148
Unique Edges : 130
Edges With Duplicates : 258
Total Edges : 388
Number of Edge Types : 5
Retweet : 108
MentionsInRetweet : 155
Mentions : 84
Tweet : 33
Replies to : 8
Self-Loops : 33
Reciprocated Vertex Pair Ratio : 0.0355329949238579
Reciprocated Edge Ratio : 0.0686274509803922
Connected Components : 18
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 123
Maximum Edges in a Connected Component : 360
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.290229
Graph Density : 0.00937672366243795
Modularity : 0.341171
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 148 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, 17 December 2020 at 03:42 UTC.
The requested start date was Thursday, 17 December 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 11-day, 6-hour, 18-minute period from Friday, 04 December 2020 at 13:01 UTC to Tuesday, 15 December 2020 at 19:19 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:
[54] covid,19 [44] know,someone [44] someone,hospitalized [44] hospitalized,died [43] died,covid [42] grim,heart [42] heart,breaking [42] breaking,reality [42] reality,worsens [42] worsens,54 Top Word Pairs in Tweet in G1:
[44] covid,19 [38] know,someone [38] someone,hospitalized [38] hospitalized,died [38] died,covid [37] grim,heart [37] heart,breaking [37] breaking,reality [37] reality,worsens [37] worsens,54 Top Word Pairs in Tweet in G2:
[14] social,trust [14] trust,advanced [14] advanced,economies [14] economies,lower [14] lower,young [14] young,people [14] people,those [14] those,less [14] less,education [13] lrainie,social Top Word Pairs in Tweet in G5:
[3] covid,19 [3] pewresearch,pewscience [2] lrainie,grim [2] grim,heart [2] heart,breaking [2] breaking,reality [2] reality,worsens [2] worsens,54 [2] 54,adults [2] adults,know Top Word Pairs in Tweet in G7:
[4] deaths,always [4] always,trailed [4] trailed,indicators [4] indicators,infections [4] infections,hospitalizations [4] hospitalizations,during [4] during,pandemic [3] repandylevin,deaths [3] pandemic,followâ Top Word Pairs in Tweet in G9:
[2] good,pump [2] pump,more [2] more,sammiches [2] sammiches,way Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: