The graph represents a network of 5,942 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 Sunday, 23 January 2022 at 21:15 UTC.
The requested start date was Sunday, 23 January 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 13-day, 4-hour, 12-minute period from Saturday, 08 January 2022 at 19:06 UTC to Friday, 21 January 2022 at 23:19 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 : 5942
Unique Edges : 3587
Edges With Duplicates : 12343
Total Edges : 15930
Number of Edge Types : 5
Retweet : 5161
MentionsInRetweet : 7150
Mentions : 1767
Tweet : 1067
Replies to : 785
Self-Loops : 1108
Reciprocated Vertex Pair Ratio : 0.0251337563767575
Reciprocated Edge Ratio : 0.0490350770724602
Connected Components : 619
Single-Vertex Connected Components : 296
Maximum Vertices in a Connected Component : 2793
Maximum Edges in a Connected Component : 10100
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.578868
Graph Density : 0.000233390031710337
Modularity : 0.458693
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,942 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 Sunday, 23 January 2022 at 21:15 UTC.
The requested start date was Sunday, 23 January 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 13-day, 4-hour, 12-minute period from Saturday, 08 January 2022 at 19:06 UTC to Friday, 21 January 2022 at 23:19 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 : GraphServerTwitterSearch
Graph Term : caleg
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:
[507] caleg,gagal [364] paid,sick [322] sick,leave [304] assembly,health [302] health,committee [297] dan,caleg [293] caleg,psi [288] kader,dan [288] psi,franky [288] franky,tjokrosaputro Top Word Pairs in Tweet in G1:
[280] caleg,gagal [279] caleg,gerindra [279] misalnya,politikus [279] politikus,pks [278] logika,hnw [278] hnw,ini [278] ini,sama [278] sama,seperti [278] seperti,misalnya [278] pks,imam Top Word Pairs in Tweet in G2:
[271] paid,sick [232] sick,leave [212] fast,food [165] #caleg,cagovernor [143] cagovernor,gavinnewsom [118] sick,tired [107] food,workers [89] covid,paid [77] time,#caleg [77] essential,workers Top Word Pairs in Tweet in G3:
[264] assembly,health [264] health,committee [243] #caleg,assembly [202] #calcare,cleared [202] cleared,major [202] major,hurdle [202] hurdle,path [202] path,becoming [202] becoming,law [202] law,passing Top Word Pairs in Tweet in G4:
[69] pass,#rja4all [68] clear,put [68] put,price [68] price,tag [68] tag,justice [68] justice,#caleg [68] #caleg,pass [68] #rja4all,year [68] year,rosesare_read [62] rosesare_read,#rja4all Top Word Pairs in Tweet in G5:
[192] bawa,bukti [96] bukti,sudah [96] sudah,mualaf [96] mualaf,nanti [96] nanti,ada [96] ada,juga [96] juga,yang [96] yang,bawa [96] bukti,data [96] data,pendaftaran Top Word Pairs in Tweet in G6:
[281] dan,caleg [281] caleg,psi [280] kader,dan [280] psi,franky [280] franky,tjokrosaputro [280] tjokrosaputro,adik [280] adik,pelaku [280] pelaku,maling [280] maling,jiwasraya [279] cybsquad_,kader Top Word Pairs in Tweet in G7:
[69] caleg,yang [56] dpr,ri [49] caleg,dpr [48] partai,golkar [45] ngemis,#dukungsayamelayanianda [44] jangan,dipilih [44] tidak,konsisten [38] paid,sick [38] sick,leave [38] #caleg,act Top Word Pairs in Tweet in G8:
[120] argument,taco [120] taco,bell [120] bell,drive [120] drive,thru [120] thru,south [120] south,angeles [120] angeles,customer [120] customer,opened [120] opened,fire [120] fire,car Top Word Pairs in Tweet in G9:
[154] single,payer [148] two,bills [148] bills,single [148] payer,#caleg [148] #caleg,plan [148] plan,unveiled [148] unveiled,today [148] today,puts [148] puts,policy [148] policy,one Top Word Pairs in Tweet in G10:
[57] ptas,booster [57] booster,clubs [51] well,known [51] known,#lausd [51] #lausd,schools [51] schools,fundraising [51] fundraising,help [51] help,parents [51] parents,ptas [51] clubs,much 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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