The graph represents a network of 3,885 Twitter users whose tweets in the requested range contained "#CRE", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 06 May 2021 at 17:12 UTC.
The requested start date was Thursday, 06 May 2021 at 00:01 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 10-day, 10-hour, 57-minute period from Sunday, 25 April 2021 at 13:03 UTC to Thursday, 06 May 2021 at 00:00 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 : 3885
Unique Edges : 2794
Edges With Duplicates : 9110
Total Edges : 11904
Number of Edge Types : 5
Retweet : 2442
MentionsInRetweet : 3495
Tweet : 3838
Mentions : 1871
Replies to : 258
Self-Loops : 3886
Reciprocated Vertex Pair Ratio : 0.034051424600417
Reciprocated Edge Ratio : 0.0658602150537634
Connected Components : 882
Single-Vertex Connected Components : 571
Maximum Vertices in a Connected Component : 1247
Maximum Edges in a Connected Component : 5623
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.675718
Graph Density : 0.000295837988937886
Modularity : 0.378429
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,885 Twitter users whose tweets in the requested range contained "#CRE", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 06 May 2021 at 17:12 UTC.
The requested start date was Thursday, 06 May 2021 at 00:01 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 10-day, 10-hour, 57-minute period from Sunday, 25 April 2021 at 13:03 UTC to Thursday, 06 May 2021 at 00:00 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 : #CRE
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:
[598] quelle,incroyable [598] incroyable,photo [598] photo,décollage [598] décollage,bravo [598] #missionalpha,#crew2 [596] thom_astro,quelle [568] bravo,trevormahlmann [568] trevormahlmann,#missionalpha [330] commercial,estate [320] 14,500 Top Word Pairs in Tweet in G1:
[598] quelle,incroyable [598] incroyable,photo [598] photo,décollage [598] décollage,bravo [598] #missionalpha,#crew2 [596] thom_astro,quelle [568] bravo,trevormahlmann [568] trevormahlmann,#missionalpha [30] bravo,tmahlmann [30] tmahlmann,#missionalpha Top Word Pairs in Tweet in G2:
[85] commercial,estate [65] #cre,#commercialrealestate [62] #commercialrealestate,#cre [48] more,information [44] #cre,#realestate [41] q1,2021 [30] #cre,#retail [28] #property,#rents [28] #rents,#investments [23] 000,sf Top Word Pairs in Tweet in G3:
[320] 14,500 [320] 500,cre [320] cre,#giveaway [320] #giveaway,live [320] live,join [320] join,lucky [320] lucky,person [320] person,500 [320] 500,#cre [320] #cre,totally Top Word Pairs in Tweet in G4:
[88] #cre,#commercialrealestate [49] #realestate,#land [42] #cre,#highdesert [42] #highdesert,#inlandempire [41] commercial,estate [40] #inlandempire,#realestate [38] #land,#investments [38] #investments,#development [35] #development,#industrial [34] info,#cre Top Word Pairs in Tweet in G5:
[159] naibg,refuses [114] #cre,#creatl [114] #creatl,#atlanta [107] naibg,destroying [107] destroying,sprayberry [107] sprayberry,community [105] cobbcountygovt,#cre [95] commercial,estate [88] #cre,#tenanttips [84] refuses,deal Top Word Pairs in Tweet in G6:
[29] #cre,#crecanada [24] #cre,#reit [23] #crecanada,#realestate [20] #realestate,#cre [18] avison,young [18] coworking,europe [15] office,space [14] best,managed [13] global,estate [13] honoured,avison Top Word Pairs in Tweet in G7:
[24] commercial,estate [19] #cre,#commercialrealestate [16] latest,commercial [15] read,more [12] office,space [11] estate,daily [10] #commercialrealestate,#cre [9] route,73 [9] medical,office [8] daily,commercial Top Word Pairs in Tweet in G8:
[14] #office,building [14] health,crisis [13] according,costarus [13] costarus,data [13] data,#office [13] building,completions [13] completions,year [13] year,prior [13] prior,health [13] crisis,represented Top Word Pairs in Tweet in G9:
[10] #calgary,#yyc [8] #yyc,#yycbiz [7] office,space [6] provides,vision [6] future,estate [6] check,story [6] #cre,#realestate [6] #cmbs,#cmbx [5] story,retailinsider_ [5] rare,opportunity Top Word Pairs in Tweet in G10:
[34] interesting,first [34] first,photo [34] photo,see [34] see,lot [34] lot,#crewdragon [34] #crewdragon,nosecone [34] nosecone,hardware [34] hardware,great [34] great,detail [33] tylerg1998,interesting Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 G9:
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:
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Top Tweeters in G9:
Top Tweeters in G10: