The graph represents a network of 2,636 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, 31 December 2020 at 18:14 UTC.
The requested start date was Thursday, 31 December 2020 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 13-day, 23-hour, 54-minute period from Thursday, 17 December 2020 at 01:06 UTC to Thursday, 31 December 2020 at 01:00 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 : 2636
Unique Edges : 1849
Edges With Duplicates : 7891
Total Edges : 9740
Number of Edge Types : 5
Retweet : 1197
MentionsInRetweet : 1440
Tweet : 4924
Mentions : 1843
Replies to : 336
Self-Loops : 4962
Reciprocated Vertex Pair Ratio : 0.0416285452881976
Reciprocated Edge Ratio : 0.0799297321036452
Connected Components : 890
Single-Vertex Connected Components : 606
Maximum Vertices in a Connected Component : 1083
Maximum Edges in a Connected Component : 5656
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.542242
Graph Density : 0.000327821176931294
Modularity : 0.262595
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,636 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, 31 December 2020 at 18:14 UTC.
The requested start date was Thursday, 31 December 2020 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 13-day, 23-hour, 54-minute period from Thursday, 17 December 2020 at 01:06 UTC to Thursday, 31 December 2020 at 01:00 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:
[639] commercial,estate [320] #cre,#office [314] #cre,#tenanttips [307] naibg,refuses [304] #cre,#commercialrealestate [263] #covid,19 [217] covid,19 [216] office,space [170] #cre,#realestate [157] space,#cre Top Word Pairs in Tweet in G1:
[114] commercial,estate [78] #cre,#commercialrealestate [59] 11,capital [46] capital,finance [45] #cre,#realestate [40] #commercialrealestate,#cre [33] office,space [32] info,#cre [31] finance,gcre [31] gcre,tv Top Word Pairs in Tweet in G2:
[32] #office,#multitenantoffice [32] #florida,#cre [30] commercial,estate [30] #avisonyoung,#cre [18] miss,great [17] #cre,#commercialrealestate [16] office,space [15] #california,#cre [15] #retail,#streetretail [14] need,know Top Word Pairs in Tweet in G3:
[29] commercial,estate [22] 200,msf [19] latest,commercial [18] #retail,#cre [17] #cre,#realestate [16] land,sale [14] canal,fulton [14] sale,lease [12] lease,great [12] great,visibility Top Word Pairs in Tweet in G4:
[71] #cre,#commercialrealestate [47] #cre,#highdesert [43] #highdesert,#inlandempire [39] #land,#investments [37] #investments,#development [35] #development,#industrial [35] #inlandempire,#realestate [35] #realestate,#land [33] #cre,#realestate [31] latest,thanks Top Word Pairs in Tweet in G5:
[56] #cre,#commercialrealestate [22] #commercialrealestate,#cre [18] commercial,estate [17] covid,19 [15] comes,podcast [15] podcast,discuss [15] #multifamily,#commercialrealestate [13] #mustreads,around [13] #cre,#multifamily [13] stimulus,package Top Word Pairs in Tweet in G6:
[14] cbre,cbrecapitalmkts [14] colliers',recent [12] #cre,#commercialrealestate [12] cbrecapitalmkts,#cre [12] download,winter [12] winter,2020 [11] 2020,retail [9] health,crisis [9] recent,report [8] retail,report Top Word Pairs in Tweet in G7:
[7] commercial,estate [6] #cre,#realestate [6] #cre,#multifamily [5] #treppwire,podcast [4] business,leaders [4] episode,#treppwire [4] podcast,examine [4] examine,#reliefbill [4] #reliefbill,preliminary [4] preliminary,#cmbs Top Word Pairs in Tweet in G8:
[8] #cre,#realestate [7] philippe,houdard [7] houdard,recruits [7] recruits,businesses [7] businesses,miami [7] miami,heads [7] heads,pipeline [7] pipeline,workspaces [7] latest,ame [7] ame,landscape Top Word Pairs in Tweet in G9:
[53] #cre,gt [53] gt,gt [51] chigrl,#cre [47] gt,coronavirus [47] coronavirus,estate [47] estate,happens [47] happens,malls [47] malls,offices [47] offices,commercial [47] commercial,buildings Top Word Pairs in Tweet in G10:
[293] #cre,#tenanttips [291] commercial,estate [281] #cre,#office [262] #covid,19 [144] covid,19 [144] space,#cre [143] #office,#warehouse [134] lease,#cre [130] office,space [115] know,#cre 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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: