The graph represents a network of 2,453 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, 08 September 2022 at 16:57 UTC.
The requested start date was Thursday, 08 September 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, 45-minute period from Thursday, 25 August 2022 at 00:15 UTC to Thursday, 08 September 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 : 2453
Unique Edges : 1668
Edges With Duplicates : 6448
Total Edges : 8116
Number of Edge Types : 5
Tweet : 3579
Retweet : 1136
MentionsInRetweet : 1486
Mentions : 1658
Replies to : 257
Self-Loops : 3614
Reciprocated Vertex Pair Ratio : 0.0306691449814126
Reciprocated Edge Ratio : 0.0595130748422002
Connected Components : 804
Single-Vertex Connected Components : 566
Maximum Vertices in a Connected Component : 948
Maximum Edges in a Connected Component : 3714
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.466637
Graph Density : 0.000368759763488328
Modularity : 0.305061
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,453 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, 08 September 2022 at 16:57 UTC.
The requested start date was Thursday, 08 September 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, 45-minute period from Thursday, 25 August 2022 at 00:15 UTC to Thursday, 08 September 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:
[337] #cre,#commercialrealestate [215] commercial,estate [175] #commercialrealestate,#cre [153] #cre,#realestate [148] upflow,volume [133] #realestate,#cre [133] volume,upbit [133] upbit,korea [128] #cre,#creatl [126] #creatl,#atlanta Top Word Pairs in Tweet in G1:
[75] #cre,#commercialrealestate [75] national,#cre [69] commercial,estate [60] #commercialrealestate,#cre [53] #cre,#realestate [49] learn,more [33] bridge,loan [30] estate,investors [29] #onlinecommercialmortgage,#cre [26] credit,score Top Word Pairs in Tweet in G2:
[58] #office,#multitenantoffice [54] #florida,#cre [35] #land,#otherland [30] #retail,#streetretail [26] #michigan,#cre [21] #retail,#freestandingbuilding [20] #georgia,#cre [19] #tallahassee,#florida [18] #illinois,#cre [18] #cre,hartungnoblin Top Word Pairs in Tweet in G3:
[82] #cre,#commercialrealestate [53] #commercialrealestate,#cre [51] #cre,#realestate [31] #realestate,#cre [23] latest,thanks [23] #matthews,#cre [19] #commercialrealestate,#realestate [19] office,space [18] commercial,estate [17] #cre,#retail Top Word Pairs in Tweet in G4:
[20] cap,rates [12] orange,county [11] h1,2022 [11] cap,rate [11] rate,survey [11] more,details [10] cbre,h1 [10] 2022,cap [10] survey,shows [10] shows,cap Top Word Pairs in Tweet in G5:
[38] #multifamily,#apartmentinvesting [33] trdny,#cre [29] #apartmentinvesting,#multifamilyinvesting [25] #multifamilyinvesting,#apartments [23] #apartments,#multifamilyrealestate [22] #cre,#assetmanagement [19] #assetmanagement,#wealthmanagement [18] #multifamilyrealestate,#realestateinvesting [14] thanks,including [14] including,#multifamily Top Word Pairs in Tweet in G6:
[7] ranking,top [5] john,chang [5] sentiment,survey [5] top,secondary [5] secondary,metro [5] metro,areas [4] #cre,#commercialrealestate [4] read,q2 [4] q2,report [4] report,experts Top Word Pairs in Tweet in G7:
[30] #crecanada,#realestate [20] #cre,#crecanada [10] commercial,estate [8] #realestate,#cre [8] office,space [7] learn,more [7] #realestate,#logistics [7] shell,centre [7] bow,tower [7] #cre,industry Top Word Pairs in Tweet in G8:
[8] #retail,#cre [3] curbside,pickup [3] pickup,stay [3] stay,retailers [3] retailers,going [3] going,washington [3] washington,#retail [3] retail,leasing [2] connect,grow [2] appreciate,#subscribed Top Word Pairs in Tweet in G9:
[54] #cre,otorgó [54] otorgó,permiso [54] permiso,#cfe [54] #cfe,genere [54] genere,energía [54] energía,central [54] central,solar [54] solar,puerto [54] puerto,peñasco [54] peñasco,#sonora Top Word Pairs in Tweet in G10:
[80] #cre,#commercialrealestate [19] commercial,estate [16] #commercialrealestate,#industrial [16] gt,gt [13] newmark's,lisa [13] lisa,denight [13] denight,kyle [13] kyle,roberts [13] roberts,discuss [13] discuss,time Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G10: