The graph represents a network of 15,373 Twitter users whose recent tweets contained "#ExposePfizer", 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 Tuesday, 05 October 2021 at 17:00 UTC.
The tweets in the network were tweeted over the 12-hour, 59-minute period from Tuesday, 05 October 2021 at 03:33 UTC to Tuesday, 05 October 2021 at 16:33 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 : 15373
Unique Edges : 22118
Edges With Duplicates : 3268
Total Edges : 25386
Number of Edge Types : 5
Retweet : 12242
Tweet : 1446
Mentions : 5022
MentionsInRetweet : 6031
Replies to : 645
Self-Loops : 1579
Reciprocated Vertex Pair Ratio : 0.000681849174962498
Reciprocated Edge Ratio : 0.00136276914690651
Connected Components : 835
Single-Vertex Connected Components : 687
Maximum Vertices in a Connected Component : 14223
Maximum Edges in a Connected Component : 24096
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.973317
Graph Density : 9.31558127322897E-05
Modularity : 0.56328
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 15,373 Twitter users whose recent tweets contained "#ExposePfizer", 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 Tuesday, 05 October 2021 at 17:00 UTC.
The tweets in the network were tweeted over the 12-hour, 59-minute period from Tuesday, 05 October 2021 at 03:33 UTC to Tuesday, 05 October 2021 at 16:33 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 : #ExposePfizer
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:
[9676] breaking,pfizer [9464] pfizer,scientists [9373] money,#exposepfizer [9001] covid,money [8990] run,covid [8978] organization,run [8926] covid,antibodies [8900] scientists,covid [8806] pfizer,vaccination [8804] better,pfizer Top Word Pairs in Tweet in G1:
[5704] breaking,pfizer [5349] pfizer,scientists [5321] better,pfizer [5319] money,#exposepfizer [5318] probably,better [5318] organization,run [5313] antibodies,probably [5293] covid,antibodies [5290] pfizer,vaccination [5290] run,covid Top Word Pairs in Tweet in G2:
[955] video,over [955] over,000 [955] 000,000 [955] 000,views [955] views,midnight [955] midnight,eastern [955] eastern,good [955] good,#exposepfizer [680] re,wondering [680] wondering,facebook Top Word Pairs in Tweet in G3:
[770] pfizer,scientists [596] scientists,covid [594] money,#exposepfizer [579] covid,antibodies [575] breaking,pfizer [527] pfizer,vaccination [524] covid,money [522] run,covid [510] antibodies,probably [510] probably,better Top Word Pairs in Tweet in G4:
[669] natural,immunity [299] immunity,better [294] getting,covid [294] vaccine,safer [292] #exposepfizer,train [291] people,#exposepfizer [290] absolutely,hilarious [290] hilarious,people [290] train,think [290] think,ve Top Word Pairs in Tweet in G5:
[699] breaking,pfizer [699] money,#exposepfizer [695] pfizer,scientists [695] scientists,covid [695] covid,antibodies [695] antibodies,probably [695] probably,better [695] better,pfizer [695] pfizer,vaccination [695] organization,run Top Word Pairs in Tweet in G6:
[81] pfizer,scientists [70] better,pfizer [67] covid,antibodies [63] scientists,covid [62] pfizer,vaccination [58] natural,immunity [54] antibodies,better [43] ',#exposepfizer [40] vaccination,' [34] project,veritas Top Word Pairs in Tweet in G7:
[485] pfizer,scientists [483] breaking,pfizer [482] scientists,covid [481] pfizer,vaccination [481] getting,covid [481] money,#exposepfizer [480] covid,antibodies [480] run,covid [480] covid,money [479] better,pfizer Top Word Pairs in Tweet in G8:
[318] great,job [318] job,#exposepfizer [56] money,#exposepfizer [47] breaking,pfizer [45] organization,run [45] run,covid [45] covid,money [44] pfizer,scientists [44] covid,antibodies [43] scientists,covid Top Word Pairs in Tweet in G9:
[380] money,#exposepfizer [377] organization,run [377] run,covid [377] covid,money [376] pfizer,scientists [373] re,bred [373] bred,taught [373] taught,vaccine [373] vaccine,safer [373] safer,actually Top Word Pairs in Tweet in G10:
[243] covid,money [241] money,#exposepfizer [240] pfizer,scientists [235] vaccine,safer [235] getting,covid [234] breaking,pfizer [234] re,bred [234] bred,taught [234] taught,vaccine [234] safer,actually Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: