The graph represents a network of 2,237 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 October 2022 at 16:57 UTC.
The requested start date was Thursday, 06 October 2022 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 13-day, 23-hour, 53-minute period from Thursday, 22 September 2022 at 00:06 UTC to Thursday, 06 October 2022 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 : 2237
Unique Edges : 1542
Edges With Duplicates : 6354
Total Edges : 7896
Number of Edge Types : 5
Tweet : 3525
Retweet : 1130
MentionsInRetweet : 1461
Mentions : 1649
Replies to : 131
Self-Loops : 3561
Reciprocated Vertex Pair Ratio : 0.0384800384800385
Reciprocated Edge Ratio : 0.0741083835108847
Connected Components : 668
Single-Vertex Connected Components : 461
Maximum Vertices in a Connected Component : 1045
Maximum Edges in a Connected Component : 4897
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.089505
Graph Density : 0.00043163321692498
Modularity : 0.289512
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,237 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 October 2022 at 16:57 UTC.
The requested start date was Thursday, 06 October 2022 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 13-day, 23-hour, 53-minute period from Thursday, 22 September 2022 at 00:06 UTC to Thursday, 06 October 2022 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:
[448] #cre,#commercialrealestate [259] commercial,estate [170] upflow,volume [168] #cre,#realestate [158] #florida,#cre [157] volume,upbit [157] upbit,korea [150] #realestate,#cre [139] #commercialrealestate,#cre [107] #cre,#inlandempire Top Word Pairs in Tweet in G1:
[84] #cre,#commercialrealestate [67] #cre,#realestate [61] #commercialrealestate,#cre [47] learn,more [41] more,information [37] commercial,estate [34] #cre,#retail [28] #realestate,#cre [23] office,space [22] read,more Top Word Pairs in Tweet in G2:
[157] #florida,#cre [95] #land,#otherland [75] #cre,jonathan_svn [74] jonathan_svn,#land [59] #office,#multitenantoffice [49] naibg,refuses [36] #cre,saundersrealest [36] saundersrealest,jonathan_svn [35] #lakeland,#florida [26] #georgia,#cre Top Word Pairs in Tweet in G3:
[78] #cre,#commercialrealestate [72] commercial,estate [37] #commercialrealestate,#realestate [36] #realestate,#cre [22] #cre,#tenanttips [21] #cre,#realestateinvesting [21] #tenanttips,#tenantrep [20] #realestateinvesting,#realestateagent [20] #cre,#crei [20] #cre,#office Top Word Pairs in Tweet in G4:
[106] #cre,#inlandempire [104] #inlandempire,#highdesert [103] #highdesert,#realestate [98] #realestate,#land [95] #land,#investment [91] #investment,#development [80] #development,#manufacturing [80] #manufacturing,#logistics [80] #logistics,#distribution [80] #distribution,#industrial Top Word Pairs in Tweet in G5:
[16] #cre,#cmbs [9] investment,finance [9] #cre,#creinvesting [9] #cre,#crenews [9] #connectcre,#cre [9] managing,director [8] today,#cre [8] #trepp,used [8] used,recent [8] recent,#hurricaneian Top Word Pairs in Tweet in G6:
[42] commercial,estate [34] #onlinecommercialmortgage,#cre [32] bridge,loan [32] estate,investors [31] #cre,#realestate [26] #cre,#onlinecommercialmortgage [24] credit,score [23] goo,gl [23] #cre,#commercialloans [21] #projectmanager,#cre Top Word Pairs in Tweet in G7:
[26] trdny,#cre [7] urbanlandinst,#cre [7] #marej,fall [7] fall,preview [6] estate,market [5] colliers,#cre [5] #cre,#industrial [5] #coworking,#cre [4] future,office [4] industrial,estate Top Word Pairs in Tweet in G8:
[8] office,market [8] market,unchartered [8] unchartered,territory [8] territory,following [8] following,two [8] two,years [8] years,pandemic [8] pandemic,driven [8] driven,correction [8] correction,signs Top Word Pairs in Tweet in G9:
[6] gt,gt [6] globestcom,#cre [6] #pfas,impacts [4] #cre,#manufacturing [4] impacts,#cre [4] terraconlife,eurofinseena [4] #erisinformation,#cre [4] avisonyoung,competing [4] competing,music [4] music,pop Top Word Pairs in Tweet in G10:
[44] #realestate,#cre [9] #cre,#nyc [7] remote,work [6] #cre,#mortgage [5] #wfh,#rto [5] death,toll [5] commercial,estate [5] #cmbs,#cmbx [5] #cmbx,#cre [5] pensionsnews,#cre Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: