The graph represents a network of 3,849 Twitter users whose tweets in the requested range contained "caleg", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 11 September 2019 at 00:32 UTC.
The requested start date was Tuesday, 10 September 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 5-day, 1-hour, 58-minute period from Wednesday, 04 September 2019 at 22:01 UTC to Tuesday, 10 September 2019 at 00:00 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 : 3849
Unique Edges : 6857
Edges With Duplicates : 2377
Total Edges : 9234
Number of Edge Types : 3
Mentions : 7977
Tweet : 675
Replies to : 582
Self-Loops : 675
Reciprocated Vertex Pair Ratio : 0.0161717551930852
Reciprocated Edge Ratio : 0.0318287830978186
Connected Components : 446
Single-Vertex Connected Components : 267
Maximum Vertices in a Connected Component : 1999
Maximum Edges in a Connected Component : 6559
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.01273
Graph Density : 0.000492135819493575
Modularity : 0.606561
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[540] caleg,gagal [382] veto,#sb276 [351] many,california [351] california,families [351] families,filling [351] filling,hallways [351] hallways,surrounding [351] surrounding,capitol [351] capitol,ask [351] ask,governor Top Word Pairs in Tweet in G1:
[176] #sb276,#sb714 [131] veto,#sb276 [126] standing,up [100] medically,vulnerable [100] shannongroveca,many [100] many,california [100] california,families [100] families,filling [100] filling,hallways [100] hallways,surrounding Top Word Pairs in Tweet in G2:
[320] caleg,gagal [164] gagal,dari [160] dari,pan [140] komisioner,kpai [136] ternyata,caleg [135] usah,kaget [134] jadi,komisioner [133] hmmm,ternyata [133] pan,jadi [133] kpai,pantesan Top Word Pairs in Tweet in G3:
[251] many,california [251] california,families [251] families,filling [251] filling,hallways [251] hallways,surrounding [251] surrounding,capitol [251] capitol,ask [251] ask,governor [251] governor,newsom [251] newsom,veto Top Word Pairs in Tweet in G4:
[51] #caleg,vote [51] vote,#ab1482 [38] housing,crisis [38] restrictive,rent [38] rent,caps [37] urge,#caleg [37] #ab1482,solution [37] crisis,more [37] more,supply [37] supply,restrictive Top Word Pairs in Tweet in G5:
[39] aclu_cap,freethevoteca [39] ca_dem,party [29] racist,imagery [29] imagery,language [29] language,targeting [29] targeting,drpanmd [29] drpanmd,used [29] used,oppose [29] oppose,#sb276 [29] #sb276,unacceptable Top Word Pairs in Tweet in G6:
[102] caleg,gagal [89] ferdinandhaean2,aniesbaswedan [31] ferdinandhaean2,dkijakarta [31] jadi,caleg [27] caleg,aja [18] aniesbaswedan,caleg [16] aja,gagal [15] gagal,caleg [11] jd,caleg [10] rapsel,ali Top Word Pairs in Tweet in G7:
[23] public,health [22] #cmadocs,want [22] want,thank [22] thank,#caleg [22] #caleg,particularly [22] particularly,drpanmd [22] drpanmd,showing [22] showing,protecting [22] protecting,public [22] health,ensuring Top Word Pairs in Tweet in G8:
[31] wrong,solution [31] s,housing [29] please,vote [26] ca,s [25] solution,ca [24] vote,yes [22] carealtors,president [22] president,jared [22] jared,martin [19] housing,supply Top Word Pairs in Tweet in G9:
[26] #caleg,close [25] close,#secretmoney [25] text,message [25] message,#discloseact [25] recent,federal [25] federal,report [25] report,shows [25] shows,#trump [25] #trump,s [25] s,water Top Word Pairs in Tweet in G10:
[27] kaiser,gets [27] gets,billion [27] billion,dollar [27] dollar,tax [27] tax,breaks [27] breaks,being [27] being,non [27] non,profit [27] profit,doesn [27] doesn,t 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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