The graph represents a network of 71 Twitter users whose tweets in the requested range contained "#pdf20 OR #wegov OR pdmteam OR @techpresident OR "personal democracy" OR Mlsif", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 13 October 2022 at 14:53 UTC.
The requested start date was Thursday, 13 October 2022 at 00:01 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 13-day, 2-hour, 33-minute period from Thursday, 29 September 2022 at 19:37 UTC to Wednesday, 12 October 2022 at 22:10 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 : 71
Unique Edges : 74
Edges With Duplicates : 56
Total Edges : 130
Number of Edge Types : 5
Replies to : 25
Mentions : 59
Tweet : 13
Retweet : 13
MentionsInRetweet : 20
Self-Loops : 13
Reciprocated Vertex Pair Ratio : 0.0975609756097561
Reciprocated Edge Ratio : 0.177777777777778
Connected Components : 7
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 52
Maximum Edges in a Connected Component : 117
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.526847
Graph Density : 0.0181086519114688
Modularity : 0.464467
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 71 Twitter users whose tweets in the requested range contained "#pdf20 OR #wegov OR pdmteam OR @techpresident OR %22personal democracy%22 OR Mlsif", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 13 October 2022 at 14:53 UTC.
The requested start date was Thursday, 13 October 2022 at 00:01 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 13-day, 2-hour, 33-minute period from Thursday, 29 September 2022 at 19:37 UTC to Wednesday, 12 October 2022 at 22:10 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 : #pdf20 OR #wegov OR pdmteam OR @techpresident OR %22personal democracy%22 OR Mlsif
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:
[9] race,against [9] hopeless,race [9] against,marjorie [9] 10,7m [9] raised,10 [9] taylor,greene [9] 66,more [9] 1m,went [9] 7m,1m [9] greene,raised Top Word Pairs in Tweet in G1:
[3] online,fundraising [2] ken,burnsâ [2] mlsif,davidsacks [2] recommend,sound [2] mlsif,davekarpf [2] america,mlsif [2] burnsâ,message [2] message,warning [2] dumb,politics [2] democracy,centers Top Word Pairs in Tweet in G2:
[9] went,fundraisers [9] marjorie,taylor [9] against,marjorie [9] hopeless,race [9] 10,7m [9] taylor,greene [9] 7m,1m [9] race,against [9] raised,10 [9] fundraisers,66 Top Word Pairs in Tweet in G3:
[2] hideo_kojima_en,mlsif [2] ar,tech [2] place,based [2] democracy,centers Top Word Pairs in Tweet in G4:
[5] lara_putnam,mlsif [4] democratic,party [3] piece,lara_putnam [3] nytimes,democratic [3] fundraising,grassroots [3] grassroots,organizing [3] party,fundraising [3] organizing,few [3] mlsif,nytimes [2] democracy,works Top Word Pairs in Tweet in G5:
[2] true,democracy Top Word Pairs in Tweet in G9:
[2] rasiej,mlsif Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: