The graph represents a network of 17,617 Twitter users whose recent tweets contained "CommonSense OR #digitalparenting", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 8/1/2023 12:00:00 AM and 9/7/2023 5:35:11 PM. The network was obtained from Twitter on Friday, 08 September 2023 at 05:41 UTC.
The tweets in the network were tweeted over the 2527-day, 9-hour, 17-minute period from Thursday, 06 October 2016 at 15:16 UTC to Friday, 08 September 2023 at 00:34 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 17617
Unique Edges : 20062
Edges With Duplicates : 13635
Total Edges : 33697
Number of Edge Types : 9
Retweet : 12565
Replies to : 6538
MentionsInReplyTo : 6817
Tweet : 3046
Quote : 1249
MentionsInRetweet : 1537
Mentions : 1252
MentionsInQuoteReply : 126
MentionsInQuote : 567
Self-Loops : 3520
Reciprocated Vertex Pair Ratio : 0.015834055250746
Reciprocated Edge Ratio : 0.0311744918747335
Connected Components : 938
Single-Vertex Connected Components : 231
Maximum Vertices in a Connected Component : 14699
Maximum Edges in a Connected Component : 30348
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.486745
Graph Density : 6.8012267483564E-05
Modularity : 0.591565
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 17,617 Twitter users whose recent tweets contained "CommonSense OR #digitalparenting", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 8/1/2023 12:00:00 AM and 9/7/2023 5:35:11 PM. The network was obtained from Twitter on Friday, 08 September 2023 at 05:41 UTC.
The tweets in the network were tweeted over the 2527-day, 9-hour, 17-minute period from Thursday, 06 October 2016 at 15:16 UTC to Friday, 08 September 2023 at 00:34 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : CommonSense OR #digitalparenting
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:
[1907] lack,intelligence [1903] bihar,uneducated [1903] uneducated,lack [1711] tory,mp [1709] iancoll94354676,tory [1679] places,worship [1678] safe,stores [1677] people,safe [1677] safe,places [1677] students,safe Top Word Pairs in Tweet in G1:
[81] joe,biden [69] donald,trump [68] takeiteasysv,donnaraefish [53] ajpanadero,takeiteasysv [44] donnaraefish,occupydemocrats [43] free,speech [43] white,house [42] joao_bp_silva,occupydemocrats [42] occupydemocrats,repmtg [42] brame_madeline,joao_bp_silva Top Word Pairs in Tweet in G2:
[1582] safe,stores [1581] people,safe [1581] places,worship [1580] safe,places [1580] shoppers,safe [1580] safe,classrooms [1580] students,safe [1580] stores,students [1580] classrooms,people [1579] vp,shoppers Top Word Pairs in Tweet in G3:
[1898] lack,intelligence [1896] uneducated,lack [1896] bihar,uneducated [1018] constantine,people [1018] dmk's,leader [1018] leader,constantine [1017] pradesh,bihar [1017] people,uttar [1017] uttar,pradesh [1015] maridhasanswers,dmk's Top Word Pairs in Tweet in G4:
[1708] tory,mp [1706] iancoll94354676,tory [1541] another,commonsense [1506] swimmers,sought [1506] two,wild [1506] one,two [1506] chris,loder [1506] commonsense,one [1506] mp,chris [1506] assistance,doing Top Word Pairs in Tweet in G5:
[879] gun,still [879] still,think [879] school,shooting [879] bar,shooting [879] shooting,bar [879] need,commonsense [879] think,need [879] shooting,gun [878] votegloriaj,school [83] places,worship Top Word Pairs in Tweet in G6:
[658] again,lefties [658] game,again [658] large,suburban [658] district,playing [658] covid,game [658] school,district [658] suburban,school [658] playing,covid [658] 2023,large [658] lefties,gearing Top Word Pairs in Tweet in G7:
[28] same,sex [24] sex,spaces [19] women,girls [15] trans,women [13] versus,diversity [13] competence,versus [12] spaces,services [12] uniquelovely9,sholamos1 [12] anniela60958950,uniquelovely9 [11] blacktexan100,anniela60958950 Top Word Pairs in Tweet in G8:
[11] john,farnham [11] yes,campaign [10] yes,voters [10] yes,vote [10] #votenoaustralia,#voteno [10] try,understand [9] ulurustatement,mdavisqlder [9] magdaszubanski,ulurustatement [9] adamhillscomedy,magdaszubanski [9] clareawright,adamhillscomedy Top Word Pairs in Tweet in G9:
[383] take,government's [383] commonsense,discussion [383] government's,guns [383] guns,away [383] trying,take [382] away,commonsense [382] discussion,kinds [381] realspikecohen,trying [2] look,history [2] proven,business Top Word Pairs in Tweet in G10:
[70] για,να [49] για,την [49] από,το [37] με,το [37] από,την [34] δεν,θα [30] με,την [29] να,μην [29] για,το [28] πρέπει,να 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: