The graph represents a network of 339 Twitter users whose recent tweets contained "#mentalhealth lang:en filter:replies min_retweets:5 min_faves:10", 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 Saturday, 11 September 2021 at 11:17 UTC.
The tweets in the network were tweeted over the 7-day, 15-hour, 39-minute period from Friday, 03 September 2021 at 03:01 UTC to Friday, 10 September 2021 at 18:40 UTC.
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 Fruchterman-Reingold layout algorithm.
Vertices : 509
Unique Edges : 740
Edges With Duplicates : 17433
Total Edges : 18173
Self-Loops : 36
Reciprocated Vertex Pair Ratio : 0.202061855670103
Reciprocated Edge Ratio : 0.336192109777015
Connected Components : 22
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 183
Maximum Edges in a Connected Component : 8909
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.098827
Graph Density : 0.00901876459941525
Modularity : 0.090639
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 339 Twitter users whose recent tweets contained "#mentalhealth lang:en filter:replies min_retweets:5 min_faves:10", 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 Saturday, 11 September 2021 at 11:17 UTC.
The tweets in the network were tweeted over the 7-day, 15-hour, 39-minute period from Friday, 03 September 2021 at 03:01 UTC to Friday, 10 September 2021 at 18:40 UTC.
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 Fruchterman-Reingold layout algorithm.
Graph Source : TwitterSearch
Graph Term : #mentalhealth lang:en filter:replies min_retweets:5 min_faves:10
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[98] taylorhickson,vivmilano [98] kimberl46149999,simone_rc67 [98] jmtdesignstudio,cox_passaris [98] jsek19,crazy4rossdale [98] harrypetsanis,ednazilli [97] craigjo80374965,gummbyman32 [97] gummbyman32,clarisecroix [97] clarisecroix,raiderstoney [97] raiderstoney,_untagged [97] _untagged,elangeorgemusic Top Word Pairs in Tweet in G1:
[98] taylorhickson,vivmilano [98] kimberl46149999,simone_rc67 [98] jmtdesignstudio,cox_passaris [98] jsek19,crazy4rossdale [98] harrypetsanis,ednazilli [97] craigjo80374965,gummbyman32 [97] gummbyman32,clarisecroix [97] clarisecroix,raiderstoney [97] raiderstoney,_untagged [97] _untagged,elangeorgemusic Top Word Pairs in Tweet in G2:
[15] talk_research,forsymp [15] forsymp,dohadebates [15] dohadebates,wef [14] delusionalacad1,psychmh [14] rossthomson26,truthsayerodet1 [14] proftimnoakes,angelasuttner [12] wef,kavitha_taurus [11] profannjohn,gregbarradale [11] craigjthorley,lucianaberger [11] lucianaberger,anthonyseldon Top Word Pairs in Tweet in G3:
[23] #familytrain,#joytrain [14] castle_peach,pseabra52 [14] garaupina,ninepetanque [14] ninepetanque,gerardbrowne16 [14] jonspreadlove,carlosd51140632 [14] carlosd51140632,cambuci60 [14] cambuci60,pemamasih1 [14] pemamasih1,jill_magnussen [14] jill_magnussen,flow_blume [14] flow_blume,grandesol2016 Top Word Pairs in Tweet in G4:
[87] heroldbarton,kevinandrewtod4 [87] maryhea72700273,triciamorrisadr [87] triciamorrisadr,sathiegounden [87] sathiegounden,patgrant7777 [87] monicasloves,puhinnalle_ [87] puhinnalle_,cathereni [87] zapp12347,ramikantari [87] dunaisiaka,princess3rina [87] princess3rina,leebokseong6 [87] leebokseong6,mert93d Top Word Pairs in Tweet in G5:
[59] castle_peach,pseabra52 [59] garaupina,ninepetanque [59] ninepetanque,gerardbrowne16 [59] jonspreadlove,carlosd51140632 [59] carlosd51140632,cambuci60 [59] cambuci60,pemamasih1 [59] pemamasih1,jill_magnussen [59] jill_magnussen,flow_blume [59] flow_blume,grandesol2016 [55] whatyouwantnowu,helensmomma Top Word Pairs in Tweet in G6:
[4] 1redroc,shinunao2 [4] shinunao2,moiraek [4] moiraek,melo_zeno [4] melo_zeno,fryld [4] fryld,bvweir [4] bvweir,cathyh985 [4] cathyh985,memva [4] memva,luna_om90 [4] mon_dime,mon98a [4] mon98a,mistresstepco Top Word Pairs in Tweet in G8:
[5] gbnews,alstewartobe [5] alstewartobe,gregwrightyp [4] notrichyoungfa1,gbnews [3] kevin_larkin,notrichyoungfa1 [2] loan,charge [2] seven,suicides [2] hcsick,kevin_larkin [2] gregwrightyp,loanchargeappg [2] mental,health Top Word Pairs in Tweet in G10:
[3] #sport,#recreation Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
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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:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: