The graph represents a network of 6,390 Twitter users whose recent tweets contained "#abpoli", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 29 November 2019 at 18:02 UTC.
The tweets in the network were tweeted over the 3-day, 1-hour, 16-minute period from Tuesday, 26 November 2019 at 15:36 UTC to Friday, 29 November 2019 at 16:53 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 : 6390
Unique Edges : 18182
Edges With Duplicates : 8283
Total Edges : 26465
Self-Loops : 1978
Reciprocated Vertex Pair Ratio : 0.0072434808672195
Reciprocated Edge Ratio : 0.0143827803402271
Connected Components : 197
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 6107
Maximum Edges in a Connected Component : 26119
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.665415
Graph Density : 0.000493879959466718
Modularity : 0.389981
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 6,390 Twitter users whose recent tweets contained "#abpoli", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 29 November 2019 at 18:02 UTC.
The tweets in the network were tweeted over the 3-day, 1-hour, 16-minute period from Tuesday, 26 November 2019 at 15:36 UTC to Friday, 29 November 2019 at 16:53 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 : TwitterSearch
Graph Term : #abpoli
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[8170] #ableg,#abpoli [3514] #abpoli,#ableg [2587] #abpoli,#cdnpoli [2408] #cdnpoli,#abpoli [1615] jason,kenney [1123] oil,gas [649] #abpoli,#skpoli [556] #yyc,#yeg [513] kenney,s [468] clean,up Top Word Pairs in Tweet in G1:
[1610] #ableg,#abpoli [535] #cdnpoli,#abpoli [325] #abpoli,#cdnpoli [320] notley,ndp [310] oil,gas [309] #abpoli,#ableg [264] largest,oil [264] pm,wears [264] wears,blackface [264] #abpoli,#skpoli Top Word Pairs in Tweet in G2:
[4010] #ableg,#abpoli [1929] #abpoli,#ableg [1273] #abpoli,#cdnpoli [932] jason,kenney [815] #cdnpoli,#abpoli [376] #yyc,#yeg [374] oil,gas [278] #cdnpoli,#canpoli [269] kenney,never [254] kenney,s Top Word Pairs in Tweet in G3:
[913] #ableg,#abpoli [364] #abpoli,#ableg [333] #abpoli,#cdnpoli [284] jason,kenney [231] #cdnpoli,#abpoli [156] oil,gas [138] clean,up [126] corporate,tax [125] #cdnpoli,#canlab [116] kenney,s Top Word Pairs in Tweet in G4:
[576] #ableg,#abpoli [379] #abpoli,#ableg [172] asking,questions [161] #cdnpoli,#abpoli [138] #abpoli,#cdnpoli [115] jason,kenney [98] doesn,t [87] t,think [86] during,qp [86] qp,today Top Word Pairs in Tweet in G5:
[451] #cdnpoli,#abpoli [370] #ableg,#abpoli [290] #abpoli,#cdnpoli [163] wing,ideology [160] hello,conservative [160] conservative,voters [160] voters,idea [160] idea,left [160] left,wing [160] ideology,taught Top Word Pairs in Tweet in G6:
[169] #abpoli,#ableg [132] #ableg,#abpoli [129] elections,commissioner [127] re,write [126] now,want [124] first,fired [124] fired,elections [123] commissioner,now [123] want,retroactively [123] retroactively,re Top Word Pairs in Tweet in G7:
[39] #ableg,#abpoli [25] #abpoli,#cdnpoli [20] #cdnpoli,#abpoli [20] #abpoli,#ableg [12] #bcpoli,#abpoli [10] #abpoli,#skpoli [8] jason,kenney [6] #nbpoli,#nspoli [6] wait,more [6] ab,diversify Top Word Pairs in Tweet in G8:
[122] #ableg,#abpoli [111] #abpoli,#ableg [77] #cdnpoli,#abpoli [64] melanee,thomas [61] thomas,judged [61] judged,fact [61] fact,ran [61] ran,ndp [61] ndp,2004 [61] 2004,surely Top Word Pairs in Tweet in G9:
[94] #cdnpoli,#onpoli [82] notice,people [82] people,take [82] take,care [82] care,reason [82] reason,turn [82] turn,away [82] away,refugees [82] refugees,same [82] same,people Top Word Pairs in Tweet in G10:
[23] #ableg,#abpoli [12] private,sector [12] sector,workers [11] alberta's,public [11] public,sector [11] sector,employees [11] employees,paid [11] paid,9 [11] 9,3 [11] 3,higher 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 G5:
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:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: