The graph represents a network of 103 specified Twitter users (User List). The network was obtained from Twitter on Friday, 17 March 2023 at 23:33 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
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 : 1705
Unique Edges : 1814
Edges With Duplicates : 19838
Total Edges : 21652
Number of Edge Types : 5
Replies to : 634
Mentions : 2736
Retweet : 2985
MentionsInRetweet : 1029
Tweet : 14268
Self-Loops : 14302
Reciprocated Vertex Pair Ratio : 0.0699300699300699
Reciprocated Edge Ratio : 0.130718954248366
Connected Components : 11
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 1603
Maximum Edges in a Connected Component : 19909
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.285473
Graph Density : 0.000947916236421461
Modularity : 0.101981
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 103 specified Twitter users (User List). The network was obtained from Twitter on Friday, 17 March 2023 at 23:33 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : User List
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:
[1232] city,council [1041] learn,more [653] more,information [470] council,meeting [464] city,hall [448] more,info [433] covid,19 [417] 00,pm [284] housing,element [279] city,manager Top Word Pairs in Tweet in G1:
[248] city,council [187] contra,costa [179] learn,more [147] 00,pm [146] more,information [131] san,pablo [127] more,info [126] event,date [125] event,time [122] san,ramon Top Word Pairs in Tweet in G2:
[241] learn,more [233] san,mateo [203] city,council [149] mateo,county [142] city,hall [126] more,information [110] covid,19 [110] daly,city [104] san,carlos [98] portola,valley Top Word Pairs in Tweet in G3:
[228] santa,clara [200] learn,more [166] city,council [151] more,information [98] email,express [89] housing,element [78] sebastopol,community [75] morgan,hill [75] city,gilroy [74] clara,county Top Word Pairs in Tweet in G4:
[103] learn,more [97] union,city [75] more,information [39] alameda,county [37] city,council [34] city,hall [31] city,emeryville [29] bay,area [29] city,hayward [26] covid,19 Top Word Pairs in Tweet in G5:
[48] east,palo [47] palo,alto [20] san,mateo [18] covid,19 [12] mask,mobile [12] daly,city [10] wears,mask [10] everyone,protected [10] mask,everyone [10] each,wears Top Word Pairs in Tweet in G6:
[110] city,benicia [81] city,manager [80] benicia,week [76] suisun,city [74] message,city [68] rio,vista [68] week,message [67] #vallejo,#cityofvallejo [61] solano,county [52] city,council Top Word Pairs in Tweet in G7:
[117] city,council [52] council,meeting [50] mill,valley [37] learn,more [32] san,rafael [28] housing,element [24] marin,county [22] city,manager [21] planning,commission [21] more,info Top Word Pairs in Tweet in G8:
[35] napa,valley [25] st,helena [17] main,street [15] wine,country [10] more,#mysthelena [5] vintage,home [5] tasting,room [5] world,class [5] learn,more [5] live,music Top Word Pairs in Tweet in G9:
[78] city,modesto [76] learn,more [55] city,council [39] #tracyca,#cityoftracy [38] more,visit [32] join,team [32] san,joaquin [30] city,stockton [29] concejo,municipal [28] call,209 Top Word Pairs in Tweet in G10:
[26] san,francisco [20] city,hall [15] more,info [13] learn,more [11] heavy,rains [11] flooded,areas [10] bay,area [9] downed,trees [9] alameda,point [9] read,more Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G5:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: