The graph represents a network of 16,451 Twitter users whose recent tweets contained "Tulsa 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, 03 June 2021 at 05:23 UTC.
The tweets in the network were tweeted over the 14-hour, 17-minute period from Wednesday, 02 June 2021 at 13:42 UTC to Thursday, 03 June 2021 at 04:00 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 : 16451
Unique Edges : 20508
Edges With Duplicates : 1325
Total Edges : 21833
Number of Edge Types : 5
Retweet : 16283
MentionsInRetweet : 2842
Tweet : 1596
Replies to : 296
Mentions : 816
Self-Loops : 1649
Reciprocated Vertex Pair Ratio : 0.00228739897321202
Reciprocated Edge Ratio : 0.00456435743990263
Connected Components : 1115
Single-Vertex Connected Components : 723
Maximum Vertices in a Connected Component : 14292
Maximum Edges in a Connected Component : 19229
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.137253
Graph Density : 7.28625988682611E-05
Modularity : 0.819302
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 16,451 Twitter users whose recent tweets contained "Tulsa 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, 03 June 2021 at 05:23 UTC.
The tweets in the network were tweeted over the 14-hour, 17-minute period from Wednesday, 02 June 2021 at 13:42 UTC to Thursday, 03 June 2021 at 04:00 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 : TwitterSearch
Graph Term : Tulsa 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:
[4950] 100,years [3943] years,ago [3626] tulsa,100 [3332] victims,black [3326] first,domestic [3326] domestic,aerial [3326] aerial,assault [3317] biden,talked [3317] talked,first [3317] assault,happening Top Word Pairs in Tweet in G1:
[3252] biden,talked [3252] talked,first [3252] first,domestic [3252] domestic,aerial [3252] aerial,assault [3252] assault,happening [3252] happening,tulsa [3252] tulsa,100 [3252] 100,years [3252] years,ago Top Word Pairs in Tweet in G2:
[1528] first,president [1526] biden,first [1526] tulsa,hundred [1526] hundred,years [1524] visit,tulsa [1523] president,visit [1523] visited,tulsa [1521] trump,visited [1520] years,coming [1520] coming,year Top Word Pairs in Tweet in G3:
[1935] went,tulsa [1926] tulsa,helped [969] biden,went [964] former,guy [963] helped,shoulder [963] shoulder,community's [963] community's,pain [963] pain,former [963] guy,went [963] helped,kill Top Word Pairs in Tweet in G4:
[341] learn,know [340] choose,learn [339] biden,presidents [339] presidents,rarely [339] rarely,taught [339] taught,millions [339] millions,americans [339] americans,something [339] something,know [339] know,choose Top Word Pairs in Tweet in G5:
[565] race,massacre [386] tulsa,race [294] 100,years [240] president,biden [198] years,ago [150] visited,tulsa [146] today,joebiden [146] joebiden,signed [146] signed,proclamation [146] proclamation,commemorating Top Word Pairs in Tweet in G6:
[173] race,massacre [160] tulsa,race [126] joe,biden [94] president,biden [93] tulsa,massacre [83] 100th,anniversary [76] biden,tulsa [75] tulsa,speech [56] anniversary,tulsa [43] president,joe Top Word Pairs in Tweet in G7:
[542] president,biden [255] biden,speech [253] speech,tulsa [240] darkness,hide [240] hide,much [240] much,erases [240] erases,nothing [239] watching,president [239] tulsa,continue [239] continue,impressed Top Word Pairs in Tweet in G8:
[466] president,biden [432] 100,years [424] 1st,president [423] tulsa,massacre [418] biden,1st [418] president,100 [418] years,acknowledge [418] acknowledge,tulsa [418] massacre,riot [418] riot,truth Top Word Pairs in Tweet in G9:
[352] race,massacre [332] tulsa,race [206] biden,speech [205] speech,tulsa [193] moment,tulsa [190] massacre,survivor [190] survivor,mr [190] mr,hughes [190] hughes,ellis [190] ellis,revdrbarber Top Word Pairs in Tweet in G10:
[774] vote,2022 [774] black,people [387] tulsa,speaking [387] speaking,black [387] black,audience [387] audience,biden [387] biden,calls [387] calls,voter [387] voter,registration [387] registration,groups Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: