The graph represents a network of 3,511 Twitter users whose tweets in the requested range contained "bcpoli", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 November 2022 at 03:29 UTC.
The requested start date was Wednesday, 23 November 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 21-hour, 54-minute period from Saturday, 19 November 2022 at 00:45 UTC to Tuesday, 22 November 2022 at 22:39 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 : 3511
Unique Edges : 3007
Edges With Duplicates : 13998
Total Edges : 17005
Number of Edge Types : 5
Retweet : 5571
MentionsInRetweet : 7888
Tweet : 1075
Mentions : 2022
Replies to : 449
Self-Loops : 1122
Reciprocated Vertex Pair Ratio : 0.0169358014966522
Reciprocated Edge Ratio : 0.0333075135553834
Connected Components : 156
Single-Vertex Connected Components : 100
Maximum Vertices in a Connected Component : 3239
Maximum Edges in a Connected Component : 16621
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.978733
Graph Density : 0.000628549588959728
Modularity : 0.325693
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,511 Twitter users whose tweets in the requested range contained "bcpoli", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 November 2022 at 03:29 UTC.
The requested start date was Wednesday, 23 November 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 21-hour, 54-minute period from Saturday, 19 November 2022 at 00:45 UTC to Tuesday, 22 November 2022 at 22:39 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 : bcpoli
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:
[442] david,eby [423] premier,dave_eby [308] away,today [306] students,away [306] over,200 [306] small,school [306] local,hospital [306] school,over [306] 105,students [306] scary,local Top Word Pairs in Tweet in G1:
[152] public,health [91] bonnie,henry [72] misleading,dishonest [72] dishonest,public [72] health,present [70] prevalence,rates [70] away,today [70] numbers,accurate [70] rates,case [70] case,numbers Top Word Pairs in Tweet in G2:
[287] david,eby [221] premier,dave_eby [179] attorney,general [126] public,safety [126] announced,today [109] eby,attorney [89] done,point [89] today,done [89] point,over [88] kevinfalcon,today Top Word Pairs in Tweet in G3:
[96] premier,dave_eby [78] fossil,fuel [75] housing,affordability [72] problem,today [72] source,housing [72] affordability,problem [72] financial,asset [72] today,housing [72] housing,treated [72] treated,financial Top Word Pairs in Tweet in G4:
[66] bc,government [59] richardzussman,bc [57] bc,cdc [57] cdc,website [56] self,isolate [56] covid,19 [55] longer,required [55] website,yesterday [55] according,bc [55] yesterday,people Top Word Pairs in Tweet in G5:
[214] today,small [214] 200,scary [214] overwhelmed,changes [214] over,200 [214] away,today [214] local,hospital [214] 105,students [214] school,over [214] hospital,overwhelmed [214] students,away Top Word Pairs in Tweet in G6:
[70] #cdnpoli,#bcpoli [33] #cdnpoli,#onpoli [32] peasants,#cdnpoli [32] masks,peasants [31] nspector4,masks [27] #skpoli,#mbpoli [20] #onpoli,#bcpoli [19] #bcpoli,#abpoli [19] #abpoli,#nbpoli [18] #nbpoli,#abpoli Top Word Pairs in Tweet in G7:
[136] #solar,farm [136] nation,built [136] canada,indigenous [136] confronting,#climatecrisis [136] tsilhqot'in,nation [136] farm,western [136] largest,#solar [136] western,canada [136] indigenous,nations [136] built,largest Top Word Pairs in Tweet in G8:
[39] #cdnpoli,#bcpoli [32] #bcpoli,#vanpoli [28] #skpoli,#polqc [28] #bcpoli,#abpoli [28] #abpoli,#skpoli [28] #canpoli,#cdnpoli [28] #polqc,#onpoli [28] #topoli,#canpoli [28] #onpoli,#topoli [27] #cdnpoli,#cdnpolitics Top Word Pairs in Tweet in G9:
[12] #cdnpoli,#bcpoli [11] #bcpoli,#cdnpoli [6] premier,eby [4] #bced,#bcpoli [4] #vanpoli,#bcpoli [4] attention,#bcpoli [4] housing,minister [4] david,eby [4] paying,attention [3] years,last Top Word Pairs in Tweet in G10:
[21] read,more [19] eby,announced [18] david,eby [16] #bcpoli,#vanpoli [15] premier,david [15] strata,buildings [14] #vanpoli,#vanre [12] prohibitions,strata [12] end,rental [12] rental,prohibitions Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
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:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: