The graph represents a network of 7,722 Twitter users whose recent tweets contained "Battered Biden", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 13 May 2021 at 15:32 UTC.
The tweets in the network were tweeted over the 7-day, 4-hour, 41-minute period from Thursday, 06 May 2021 at 10:25 UTC to Thursday, 13 May 2021 at 15:07 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 : 7722
Unique Edges : 10986
Edges With Duplicates : 619
Total Edges : 11605
Number of Edge Types : 5
Retweet : 8714
Tweet : 1692
Mentions : 373
MentionsInRetweet : 383
Replies to : 443
Self-Loops : 1754
Reciprocated Vertex Pair Ratio : 0.00113366999896939
Reciprocated Edge Ratio : 0.00226477249330863
Connected Components : 1211
Single-Vertex Connected Components : 1065
Maximum Vertices in a Connected Component : 6259
Maximum Edges in a Connected Component : 10029
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.282234
Graph Density : 0.000162927633462538
Modularity : 0.646768
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,722 Twitter users whose recent tweets contained "Battered Biden", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 13 May 2021 at 15:32 UTC.
The tweets in the network were tweeted over the 7-day, 4-hour, 41-minute period from Thursday, 06 May 2021 at 10:25 UTC to Thursday, 13 May 2021 at 15:07 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 : TwitterSearch
Graph Term : Battered Biden
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:
[9711] battered,biden [3466] white,house [3439] under,siege [3409] biden,under [3409] siege,crises [3407] confound,white [3406] crises,confound [1987] fox,news [995] alert,battered [991] breaking,#foxnews Top Word Pairs in Tweet in G1:
[2327] battered,biden [561] under,siege [561] white,house [560] biden,under [556] siege,crises [556] crises,confound [556] confound,white [466] fox,news [346] 63,approval [264] approval,rating Top Word Pairs in Tweet in G2:
[1006] battered,biden [686] white,house [685] under,siege [682] biden,under [678] siege,crises [678] crises,confound [677] confound,white [198] house,#foxnews [128] fox,news [82] alert,battered Top Word Pairs in Tweet in G3:
[1272] battered,biden [597] biden,sure [597] sure,getting [597] getting,rid [597] rid,trump [597] trump,easy [597] easy,part [597] part,repairing [597] repairing,damage [597] damage,created Top Word Pairs in Tweet in G4:
[970] battered,biden [941] biden,under [941] under,siege [941] siege,crises [941] crises,confound [941] confound,white [941] white,house [840] breaking,#foxnews [840] #foxnews,alert [840] alert,battered Top Word Pairs in Tweet in G5:
[1119] battered,biden [733] under,siege [732] white,house [731] siege,crises [729] crises,confound [729] confound,white [727] biden,under [452] inevitable,end [452] end,result [441] house,send Top Word Pairs in Tweet in G6:
[577] battered,biden [489] fox,news [481] news,argued [481] argued,court [481] court,held [481] held,responsible [481] responsible,anything [481] anything,'no [481] 'no,reasonable [481] reasonable,viewer' Top Word Pairs in Tweet in G7:
[557] battered,biden [352] name,calling [351] biden,funniest [351] funniest,shit [351] shit,republicans [351] republicans,anything [351] anything,constructive [351] constructive,resort [351] resort,name [351] calling,hope Top Word Pairs in Tweet in G8:
[311] battered,biden [306] approval,rating [294] 63,approval [290] battered,biden' [286] fox,news's [282] biden',63 [282] rating,something [282] something,fox [282] news's,orange [282] orange,visaged Top Word Pairs in Tweet in G9:
[476] year,gop [312] battered,biden [242] liz,cheney [240] party,trump [238] 38,000 [238] 000,gun [238] gun,deaths [238] deaths,year [238] gop,opposes [238] opposes,gun Top Word Pairs in Tweet in G10:
[177] battered,biden [100] white,house [88] under,siege [85] siege,crises [85] crises,confound [84] confound,white [78] biden,under [21] house,#foxnews [17] 63,approval [15] potus,epic Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G8:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: