The graph represents a network of 8,191 Twitter users whose recent tweets contained "list:19390498 filter:links since:2022-09-26 until:2022-10-03", 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, 04 October 2022 at 12:01 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 11-minute period from Monday, 26 September 2022 at 02:47 UTC to Sunday, 02 October 2022 at 23:59 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 : 8191
Unique Edges : 14177
Edges With Duplicates : 9580
Total Edges : 23757
Number of Edge Types : 5
Retweet : 6301
Tweet : 7053
Replies to : 735
Mentions : 5644
MentionsInRetweet : 4024
Self-Loops : 7120
Reciprocated Vertex Pair Ratio : 0.0334251185559125
Reciprocated Edge Ratio : 0.0646880319739472
Connected Components : 265
Single-Vertex Connected Components : 58
Maximum Vertices in a Connected Component : 7208
Maximum Edges in a Connected Component : 21902
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.68582
Graph Density : 0.000201403338993377
Modularity : 0.54234
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,191 Twitter users whose recent tweets contained "list:19390498 filter:links since:2022-09-26 until:2022-10-03", 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, 04 October 2022 at 12:01 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 11-minute period from Monday, 26 September 2022 at 02:47 UTC to Sunday, 02 October 2022 at 23:59 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 : list:19390498 filter:links since:2022-09-26 until:2022-10-03
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[427] de,la [325] hurricane,ian [186] en,el [144] de,los [134] en,la [127] storm,surge [109] fort,myers [78] tampa,bay [68] de,las [68] climate,change Top Word Pairs in Tweet in G1:
[176] hurricane,ian [72] storm,surge [70] fort,myers [62] tampa,bay [31] myers,beach [29] hurricane,#ian [22] visual,storytelling [21] tropical,storm [21] storytelling,team [20] storm,surges Top Word Pairs in Tweet in G2:
[29] auf,der [25] der,#nr22 [21] für,die [19] local,government [16] mit,dem [16] stable,diffusion [16] local,govt [14] government,newsletter [13] mit,der [13] sign,think Top Word Pairs in Tweet in G3:
[23] liz,truss [19] mini,budget [19] interest,rates [13] voting,intention [12] black,wednesday [12] westminster,voting [11] kwasi,kwarteng [11] sunday,times [10] intention,lab [10] nuclear,power Top Word Pairs in Tweet in G4:
[24] de,la [18] primeiro,turno [14] ana,de [14] de,lula [14] séries,completas [13] la,russie [12] hurricane,ian [12] msoares,ana [12] veja,séries [12] completas,em Top Word Pairs in Tweet in G5:
[116] de,la [107] en,el [65] en,la [61] de,los [39] de,las [27] través,de [17] por,la [17] de,octubre [15] en,los [15] es,la Top Word Pairs in Tweet in G6:
[37] hurricane,ian [22] black,americans [22] climate,change [15] storm,surge [12] political,landscape [12] powerful,storms [10] state,political [10] fivethirtyeight,politics [10] politics,podcast [10] democrats,republicans Top Word Pairs in Tweet in G7:
[10] imagine,paid [8] nord,stream [8] paid,imagine [7] territories,ukraine [7] natural,earth [7] credit,suisse [6] missile,attack [6] graham,phillips [6] occupied,territories [6] russian,troops Top Word Pairs in Tweet in G8:
[7] assistant,professor [6] transparency,accountability [6] racial,justice [6] covid,19 [5] #mahsaamini,#مهسا_امینی [5] climate,change [5] freedom,information [4] justice,science [4] public,policy [4] facial,recognition Top Word Pairs in Tweet in G9:
[5] rip,coolio [4] shark,real [4] #dartmission,impact [4] thing,asked [4] black,people [4] sept,30 [4] america,important [4] body,shaming [3] sound,like [3] girls,code Top Word Pairs in Tweet in G10:
[15] de,la [11] sur,le [9] sur,les [8] et,de [7] dans,la [7] il,est [6] google,maps [6] au,nord [6] dans,le [6] vient,de Top Replied-To in Entire Graph:
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Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: