The graph represents a network of 9,538 Twitter users whose recent tweets contained "HVAC", 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 Wednesday, 08 April 2020 at 19:46 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 41-minute period from Tuesday, 31 March 2020 at 21:34 UTC to Wednesday, 08 April 2020 at 19:15 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 : 9538
Unique Edges : 10391
Edges With Duplicates : 5460
Total Edges : 15851
Number of Edge Types : 5
Retweet : 1826
Tweet : 5388
MentionsInRetweet : 3022
Mentions : 3490
Replies to : 2125
Self-Loops : 5444
Reciprocated Vertex Pair Ratio : 0.0194995491433724
Reciprocated Edge Ratio : 0.038253178551686
Connected Components : 3520
Single-Vertex Connected Components : 2147
Maximum Vertices in a Connected Component : 2264
Maximum Edges in a Connected Component : 6389
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.543953
Graph Density : 9.94350440492298E-05
Modularity : 0.623253
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 9,538 Twitter users whose recent tweets contained "HVAC", 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 Wednesday, 08 April 2020 at 19:46 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 41-minute period from Tuesday, 31 March 2020 at 21:34 UTC to Wednesday, 08 April 2020 at 19:15 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 : HVAC
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:
[600] hvac,system [521] hvac,systems [366] air,conditioning [269] covid,19 [206] oil,age [196] learn,more [185] hvac,filter [143] health,care [137] air,quality [128] heating,cooling Top Word Pairs in Tweet in G1:
[332] hvac,system [148] air,conditioning [112] learn,more [111] hvac,systems [96] hvac,heat [77] heat,idle [77] idle,radiation [74] covid,19 [72] call,today [70] hvac,service Top Word Pairs in Tweet in G2:
[31] hvac,filter [30] covid,19 [25] dyi,masks [24] tamu,biomedical [24] biomedical,engineer [24] make,dyi [24] masks,hvac [24] filter,materials [24] materials,pipe [24] pipe,cleaners Top Word Pairs in Tweet in G3:
[118] daveetecpnet2,docbear5 [118] docbear5,jodybelcher7 [118] jodybelcher7,militarysweep [118] militarysweep,rainbadass [118] rainbadass,mattwebster_17 [118] barneyfranken,robharting1 [118] robharting1,ladyny4ever [118] ladyny4ever,patriotforever8 [118] patriotforever8,hvac_ham [118] hvac_ham,mariael71986636 Top Word Pairs in Tweet in G4:
[44] covid,19 [40] test,kits [26] hvac,systems [22] learn,more [22] commercial,hvac [20] hvac,team [20] team,columbia [20] columbia,sc [20] making,test [20] kits,covid Top Word Pairs in Tweet in G5:
[30] home,hvac [16] hvac,system [14] building,company [12] elon,home [12] hvac,time [12] time,building [11] hvac,systems [9] stephenpallotta,ajtourville [9] ajtourville,teslarati [9] teslarati,sure Top Word Pairs in Tweet in G6:
[19] hvac,systems [13] air,conditioning [10] stay,home [7] #hvac,#aandhplumbing [6] #aandhplumbing,#plumbing [6] home,order [6] 843,9598 [6] systems,legionnaires [6] being,spread [6] legionnaires,past Top Word Pairs in Tweet in G7:
[204] oil,age [102] end,oil [102] age,looks [102] looks,hmmm [102] hmmm,forbes [102] forbes,understand [102] understand,oil [102] age,goes [102] goes,medicine [102] medicine,health Top Word Pairs in Tweet in G8:
[13] hvac,filter [12] hvac,flow [11] mystery,patient [11] patient,restaurant [11] restaurant,case [11] case,aerosoilized [11] aerosoilized,spread [11] spread,sars [11] sars,covid [11] covid,hvac Top Word Pairs in Tweet in G9:
[17] piece,hvac [16] barrier,make [16] filter,hepa [16] hvac,systems [13] hi,thread [13] thread,count [13] count,pillow [13] pillow,case [13] case,600 [13] 600,cloth Top Word Pairs in Tweet in G10:
[8] covid,19 [5] non,emergency [4] hvac,biovac [3] thank,fsorbara [3] fsorbara,opportunity [3] opportunity,hrai_canada [3] hrai_canada,members [3] members,very [3] very,helpful [3] helpful,clarification Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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 G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: