The graph represents a network of 8,051 Twitter users whose tweets in the requested range contained "Elizabeth Warren", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 19 April 2022 at 14:52 UTC.
The requested start date was Tuesday, 19 April 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 7-day, 22-hour, 5-minute period from Monday, 11 April 2022 at 00:45 UTC to Monday, 18 April 2022 at 22:51 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 : 8051
Unique Edges : 3333
Edges With Duplicates : 11890
Total Edges : 15223
Number of Edge Types : 5
Retweet : 5730
MentionsInRetweet : 6420
Mentions : 1277
Replies to : 887
Tweet : 909
Self-Loops : 948
Reciprocated Vertex Pair Ratio : 0.00302700084756024
Reciprocated Edge Ratio : 0.00603573153066152
Connected Components : 1051
Single-Vertex Connected Components : 484
Maximum Vertices in a Connected Component : 5207
Maximum Edges in a Connected Component : 11601
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.471973
Graph Density : 0.000127818696184495
Modularity : 0.525097
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,051 Twitter users whose tweets in the requested range contained "Elizabeth Warren", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 19 April 2022 at 14:52 UTC.
The requested start date was Tuesday, 19 April 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 7-day, 22-hour, 5-minute period from Monday, 11 April 2022 at 00:45 UTC to Monday, 18 April 2022 at 22:51 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 : Elizabeth Warren
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:
[5851] elizabeth,warren [2447] jared,kushner [1693] investigation,jared [1020] kushner,getting [891] warren,demands [890] criminal,investigation [886] demands,criminal [868] 2billion,investment [854] getting,2billion [752] investment,saudi Top Word Pairs in Tweet in G1:
[1697] elizabeth,warren [1691] jared,kushner [1297] investigation,jared [685] duty2warn,elizabeth [685] warren,demands [685] demands,criminal [685] criminal,investigation [685] kushner,getting [685] getting,2billion [685] 2billion,investment Top Word Pairs in Tweet in G2:
[396] paying,taxes [251] antitrust,laws [245] fight,inflation [245] inflation,corporate [245] corporate,price [245] price,gouging [245] gouging,enforce [245] enforce,antitrust [245] laws,promote [245] promote,competition Top Word Pairs in Tweet in G3:
[245] elizabeth,warren [122] student,loan [120] senator,warren [115] black,women [114] loan,debt [111] women,more [111] more,burdened [111] burdened,student [111] debt,senator [111] warren,cancellation Top Word Pairs in Tweet in G4:
[442] elizabeth,warren [46] super,pac [40] anti,bitcoin [39] brad,sherman [37] sherman,elizabeth [36] bitcoin,politicians [36] politicians,brad [34] pac,aims [34] aims,elect [33] elect,btc Top Word Pairs in Tweet in G5:
[342] elizabeth,warren [298] jared,kushner [201] warren,demanding [198] demanding,investigation [196] billion,investment [184] investigation,jared [158] kushner,getting [154] senator,elizabeth [145] democratic,senator [145] getting,billion Top Word Pairs in Tweet in G6:
[279] elizabeth,warren [260] #bitcoin,pac [260] pac,recently [260] recently,launched [260] launched,vowing [260] vowing,vote [260] vote,anti [260] anti,bitcoin [260] bitcoin,politicians [260] politicians,brad Top Word Pairs in Tweet in G7:
[206] elizabeth,warren [61] stroke,pen [37] leslie,mac [34] joe,biden [30] biden,make [30] make,elizabeth [30] warren,president [30] president,united [30] united,states [30] states,stroke Top Word Pairs in Tweet in G8:
[166] matters,don [166] don,livable [166] livable,planet [165] greenpeaceusa,matters [27] thing,talking [17] column,thing [17] talking,climate [17] climate,crisis [14] standupnow15,column [10] talking,#climatecrisis Top Word Pairs in Tweet in G9:
[124] elizabeth,warren [46] ask,elonmusk [46] elonmusk,structures [46] structures,purchase [46] purchase,twitter [46] twitter,way [46] way,makes [46] makes,elizabeth [46] warren,extremely [46] extremely,angry Top Word Pairs in Tweet in G10:
[217] elizabeth,warren [177] jared,kushner [109] investigation,jared [100] kushner,getting [96] warren,demands [96] demands,criminal [96] criminal,investigation [96] getting,2billion [96] 2billion,investment [94] democratic,senator Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: