The graph represents a network of 17,234 Twitter users whose recent tweets contained "SSRIs", 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, 07 July 2022 at 01:50 UTC.
The tweets in the network were tweeted over the 14-hour, 7-minute period from Wednesday, 06 July 2022 at 11:27 UTC to Thursday, 07 July 2022 at 01:35 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 : 17253
Unique Edges : 19972
Edges With Duplicates : 10093
Total Edges : 30065
Number of Edge Types : 5
Mentions : 8240
Replies to : 3992
Tweet : 1286
Retweet : 16377
MentionsInRetweet : 170
Self-Loops : 1301
Reciprocated Vertex Pair Ratio : 0.0267610413535657
Reciprocated Edge Ratio : 0.0521271070399924
Connected Components : 640
Single-Vertex Connected Components : 325
Maximum Vertices in a Connected Component : 15899
Maximum Edges in a Connected Component : 26608
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.527974
Graph Density : 7.11543373626598E-05
Modularity : 0.569199
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 17,234 Twitter users whose recent tweets contained "SSRIs", 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, 07 July 2022 at 01:50 UTC.
The tweets in the network were tweeted over the 14-hour, 7-minute period from Wednesday, 06 July 2022 at 11:27 UTC to Thursday, 07 July 2022 at 01:35 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 : SSRIs
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[21225] gun,violence [21143] rates,gun [21141] low,rates [18245] video,games [14094] biggest,user [7058] ssris,iceland [7048] violence,guns [7047] iceland,biggest [7047] user,antidepressants [7047] antidepressants,low Top Word Pairs in Tweet in G1:
[19588] gun,violence [19587] low,rates [19587] rates,gun [13071] video,games [13058] biggest,user [6529] ssris,iceland [6529] iceland,biggest [6529] user,antidepressants [6529] antidepressants,low [6529] violence,video Top Word Pairs in Tweet in G2:
[3220] video,games [2778] weed,ssris [2776] fox,news [2776] games,weed [2775] ssris,problem [2774] dear,fox [2774] news,problem [2774] problem,isn [2773] isn,video [2772] problem,guns Top Word Pairs in Tweet in G3:
[1065] video,games [782] games,ssris [782] many,doors [781] porn,video [781] ssris,many [781] door,unlocked [781] cat,bit [781] tide,pods [780] pot,porn [780] doors,few Top Word Pairs in Tweet in G4:
[695] mass,shootings [689] tucker,carlson [689] taking,ssris [689] rise,mass [688] carlson,questions [688] questions,increase [688] increase,people [688] people,taking [688] ssris,connection [688] connection,rise Top Word Pairs in Tweet in G5:
[327] against,ssris [325] wing,right [324] right,deciding [324] deciding,go [324] go,against [324] ssris,bode [324] bode,well [133] gun,violence [129] low,rates [129] rates,gun Top Word Pairs in Tweet in G6:
[54] sure,nothing [54] nothing,bad [54] bad,going [54] going,happen [54] happen,adding [54] adding,ssris [54] ssris,growing [54] growing,list [54] list,culture [54] culture,war Top Word Pairs in Tweet in G7:
[46] mass,shootings [26] video,games [26] mental,health [17] tucker,carlson [14] side,effects [13] ssris,cause [11] mass,shooting [10] take,ssris [9] cause,mass [9] blaming,ssris Top Word Pairs in Tweet in G8:
[324] tucker,carlson [298] things,tucker [205] video,games [174] carlson,blames [157] porn,video [150] marijuana,ssris [150] ssris,social [150] social,media [150] media,porn [150] counselors,women Top Word Pairs in Tweet in G9:
[164] taken,ssri [164] ssri,much [164] much,adult [164] adult,life [164] life,haven't [164] haven't,made [164] made,hurt [164] hurt,anyone [164] anyone,allowed [164] allowed,happy Top Word Pairs in Tweet in G10:
[94] isn,abortion [93] right,wing [93] wing,propaganda [93] propaganda,machine [93] machine,pivoting [93] pivoting,covid [93] covid,misinformation [93] misinformation,treatment [93] treatment,ectopic [93] ectopic,pregnancies Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: