The graph represents a network of 5,760 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 August 2020 at 16:13 UTC.
The requested start date was Sunday, 23 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 17-day, 13-hour, 39-minute period from Tuesday, 04 August 2020 at 18:29 UTC to Saturday, 22 August 2020 at 08:09 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 : 5760
Unique Edges : 5650
Edges With Duplicates : 11171
Total Edges : 16821
Number of Edge Types : 5
Replies to : 1194
Mentions : 3341
Tweet : 1439
Retweet : 4074
MentionsInRetweet : 6773
Self-Loops : 1478
Reciprocated Vertex Pair Ratio : 0.0268048203626535
Reciprocated Edge Ratio : 0.052210156849841
Connected Components : 956
Single-Vertex Connected Components : 357
Maximum Vertices in a Connected Component : 3027
Maximum Edges in a Connected Component : 13167
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.608064
Graph Density : 0.000274841552352839
Modularity : 0.471792
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,760 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 August 2020 at 16:13 UTC.
The requested start date was Sunday, 23 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 17-day, 13-hour, 39-minute period from Tuesday, 04 August 2020 at 18:29 UTC to Saturday, 22 August 2020 at 08:09 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:
[310] momsdemand,volunteer [243] ca,momsdemand [215] gun,sense [206] jadi,caleg [180] bill,important [179] important,play [179] play,political [179] political,games [165] hey,#caleg [164] caleg,gagal Top Word Pairs in Tweet in G1:
[108] nurse,practitioners [102] cmadocs,#cmadocs [100] bill,rights [95] take,action [95] #ab890,nothing [94] borrower,bill [92] requires,independent [92] independent,nurse [92] practitioners,serve [92] serve,underserved Top Word Pairs in Tweet in G2:
[85] trumpjew,thanks [85] thanks,ca_dem [85] ca_dem,lorenasgonzalez [85] lorenasgonzalez,gavinnewsom [85] gavinnewsom,controlled [85] controlled,#caleg [85] #caleg,let's [85] let's,give [85] give,credit [85] credit,credit Top Word Pairs in Tweet in G3:
[307] momsdemand,volunteer [241] ca,momsdemand [215] gun,sense [133] volunteer,support [116] ban,police [107] #ab1196,ban [94] ruling,extreme [94] extreme,outlier [94] outlier,given [94] given,earlier Top Word Pairs in Tweet in G4:
[165] bill,important [165] important,play [165] play,political [165] political,games [147] hey,#caleg [145] #caleg,bill [139] keep,communities [139] communities,safe [138] safe,removing [128] games,act Top Word Pairs in Tweet in G5:
[89] oil,gas [69] child,right [69] right,quality [69] quality,education [69] education,equitable [68] ca,schools [68] schools,#education [68] #education,afterthought [68] afterthought,child [68] equitable,resources Top Word Pairs in Tweet in G6:
[89] caleg,yang [76] dpr,ri [70] caleg,dpr [65] partai,golkar [60] jangan,dipilih [59] ngemis,#dukungsayamelayanianda [59] tidak,konsisten [52] curiga,sama [40] ri,dapil [40] dapil,kaltim Top Word Pairs in Tweet in G7:
[88] caleg,gagal [22] andre_rosiade,panca66 [22] panca66,rosarosaniasari [20] rosarosaniasari,caleg [20] dpr,ri [19] gagal,sumbar [18] jadi,caleg [17] sumbar,ini [17] ini,bawel [17] bawel,banget Top Word Pairs in Tweet in G8:
[19] #ab1450,gabriel's [19] gabriel's,law [19] california,state [19] state,senate [19] senate,public [19] public,safety [18] senaterepcaucus,asmrepublicans [17] safety,committee [16] law,failed [16] failed,party Top Word Pairs in Tweet in G9:
[74] ensuring,pathway [74] pathway,justice [74] justice,sexual [74] sexual,abuse [74] abuse,survivors [74] survivors,responsibility [74] responsibility,2014 [74] 2014,ucla [74] ucla,fell [74] fell,short Top Word Pairs in Tweet in G10:
[10] teman,sedang [6] jadi,caleg [5] bu,caleg [5] ibu,caleg [5] tipe,teman [5] teman,yg [5] yg,susah [5] susah,menerima [5] menerima,nasehat [5] nasehat,teman 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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