The graph represents a network of 17,753 Twitter users whose recent tweets contained "Infrastructure", 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, 08 April 2021 at 09:28 UTC.
The tweets in the network were tweeted over the 4-hour, 4-minute period from Thursday, 08 April 2021 at 04:51 UTC to Thursday, 08 April 2021 at 08:56 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 : 17753
Unique Edges : 23088
Edges With Duplicates : 3090
Total Edges : 26178
Number of Edge Types : 5
Retweet : 14639
Replies to : 2490
MentionsInRetweet : 3566
Tweet : 2583
Mentions : 2900
Self-Loops : 2670
Reciprocated Vertex Pair Ratio : 0.00395185101067454
Reciprocated Edge Ratio : 0.00787259071577233
Connected Components : 2394
Single-Vertex Connected Components : 963
Maximum Vertices in a Connected Component : 11068
Maximum Edges in a Connected Component : 18482
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.347588
Graph Density : 7.0131403823439E-05
Modularity : 0.778476
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 17,753 Twitter users whose recent tweets contained "Infrastructure", 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, 08 April 2021 at 09:28 UTC.
The tweets in the network were tweeted over the 4-hour, 4-minute period from Thursday, 08 April 2021 at 04:51 UTC to Thursday, 08 April 2021 at 08:56 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 : Infrastructure
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:
[1430] infrastructure,bill [1352] infrastructure,plan [1188] medical,infrastructure [949] biden,infrastructure [938] president,biden [830] years,ago [827] traditional,infrastructure [821] infrastructure,collapsed [808] ago,trains [799] customer,infrastructure Top Word Pairs in Tweet in G1:
[648] president,biden [586] biden,infrastructure [464] infrastructure,plan [441] infrastructure,bill [410] water,infrastructure [403] electrical,grid [403] grid,infrastructure [396] reliable,electrical [375] housing,infrastructure [374] jobs,plan Top Word Pairs in Tweet in G2:
[637] years,ago [636] two,hundred [636] hundred,years [636] ago,trains [636] trains,weren [636] weren,traditional [636] traditional,infrastructure [636] infrastructure,until [636] until,america [636] america,made Top Word Pairs in Tweet in G3:
[333] pipeline,infrastructure [323] keystone,xl [323] xl,pipeline [268] infrastructure,bill [247] guess,keystone [195] joe,biden [150] better,infrastructure [145] america,doesn [145] doesn,better [144] infrastructure,two Top Word Pairs in Tweet in G4:
[1056] medical,infrastructure [818] infrastructure,collapsed [797] teachers,parents [795] #maharashtraneedsvaccine,still [795] still,varshaegaikwad [795] varshaegaikwad,expose [795] expose,students [795] students,teachers [795] parents,upcoming [795] upcoming,exams Top Word Pairs in Tweet in G5:
[77] infrastructure,plan [56] #iot,#bigdata [44] infrastructure,bill [44] #stockmarket,#dividends [38] #stocks,#investment [31] biden,infrastructure [30] #dividends,#iot [24] trillion,infrastructure [21] joe,biden [18] open,compromise Top Word Pairs in Tweet in G6:
[794] jobs,smart [794] smart,hell [794] hell,made [794] made,servers [794] servers,believe [794] believe,problem [794] problem,customer [794] customer,infrastructure Top Word Pairs in Tweet in G7:
[324] private,equity [229] infrastructure,bill [184] joe,manchin [108] scoop,joe [108] manchin,raked [108] raked,cash [108] cash,private [108] equity,zillionaires [108] zillionaires,given [108] given,award Top Word Pairs in Tweet in G8:
[60] infrastructure,plan [41] biden,infrastructure [37] infrastructure,bill [30] elder,care [23] infrastructure,month [23] month,commences [23] commences,everyone [23] everyone,watch [23] watch,video [23] video,proud Top Word Pairs in Tweet in G9:
[48] child,care [47] paid,leave [44] leave,infrastructure [44] infrastructure,child [44] care,infrastructure [44] infrastructure,caregiving [44] caregiving,infrastructure [23] fuck,11 [23] 11,infrastructure [21] infrastructure,plan Top Word Pairs in Tweet in G10:
[95] infrastructure,investments [94] logic,modern [94] modern,agricultural [94] agricultural,practices [94] practices,capital [94] capital,investments [94] investments,boosts [94] boosts,farm [94] farm,incomes [94] incomes,massive 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: