The graph represents a network of 2,631 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, 21 April 2022 at 17:12 UTC.
The requested start date was Thursday, 21 April 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, 48-minute period from Thursday, 07 April 2022 at 00:11 UTC to Thursday, 21 April 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 : 2631
Unique Edges : 1987
Edges With Duplicates : 7193
Total Edges : 9180
Number of Edge Types : 5
Mentions : 1899
MentionsInRetweet : 1630
Retweet : 1276
Replies to : 278
Tweet : 4097
Self-Loops : 4162
Reciprocated Vertex Pair Ratio : 0.047020672882043
Reciprocated Edge Ratio : 0.0898180410375532
Connected Components : 856
Single-Vertex Connected Components : 571
Maximum Vertices in a Connected Component : 994
Maximum Edges in a Connected Component : 4862
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.963457
Graph Density : 0.000373291249550186
Modularity : 0.299087
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,631 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, 21 April 2022 at 17:12 UTC.
The requested start date was Thursday, 21 April 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, 48-minute period from Thursday, 07 April 2022 at 00:11 UTC to Thursday, 21 April 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:
[453] #cre,#commercialrealestate [384] commercial,estate [185] #cre,#realestate [159] #cre,#creatl [157] #tenanttips,#corporaterealestate [157] #creatl,#atlanta [155] naibg,destroying [155] destroying,sprayberry [155] sprayberry,community [153] cobbcountygovt,#cre Top Word Pairs in Tweet in G1:
[99] #cre,#commercialrealestate [98] commercial,estate [70] #cre,#realestate [62] learn,more [61] estate,market [57] #commercialrealestate,#cre [57] #property,#rents [55] office,estate [51] #offices,#cre [45] more,information Top Word Pairs in Tweet in G2:
[157] #tenanttips,#corporaterealestate [144] commercial,estate [140] #cre,#tenanttips [118] #cre,#inlandempire [111] #cre,#commercialrealestate [111] #inlandempire,#highdesert [104] #highdesert,#realestate [102] #realestate,#land [101] #land,#investment [90] #investment,#development Top Word Pairs in Tweet in G3:
[29] #cre,#commercialrealestate [26] #retail,#cre [22] #cre,#bennettwilliamscommercial [20] pa,property [20] property,type [14] type,retail [13] #ccim,#cre [12] leased,location [11] commercial,estate [11] retail,tenant Top Word Pairs in Tweet in G4:
[85] national,#cre [40] #cre,#commercialrealestate [23] live,webcast [21] webcast,examining [21] examining,looming [21] looming,economic [21] economic,pressures [21] pressures,boon [20] marcus,millichap [18] #commercialrealestate,#cre Top Word Pairs in Tweet in G5:
[85] #cre,#commercialrealestate [27] commercial,estate [17] wall,street [17] street,journal [16] total,returns [14] #commercialrealestate,#office [13] reads,#cre [13] #cre,#mustreads [12] read,more [11] #cre,#multifamily Top Word Pairs in Tweet in G6:
[35] cosmos生态的k线,chart [35] chart,工具 [35] 工具,co [35] co,vtkuvzcalm [35] vtkuvzcalm,已支持 [35] 已支持,#crescent [35] #crescent,数据 [35] 数据,截图是 [35] 截图是,cre [35] cre,的k线 Top Word Pairs in Tweet in G7:
[12] #cre,#officespace [11] globestcom,#cre [9] daily,remote [9] remote,job [9] job,opportunities [9] opportunities,#digitalnomad [9] #digitalnomad,#remote [9] #remote,#remotejobs [9] #remotejobs,#hiring [9] #hiring,#humanresources Top Word Pairs in Tweet in G8:
[60] #multifamily,#apartmentinvesting [52] #realestateinvesting,#cre [51] #multifamilyinvesting,#multifamilyrealestate [51] #apartments,#realestateinvesting [50] #apartmentsyndication,#apartments [43] #multifamilyrealestate,#multifamilysyndication [43] #multifamilysyndication,#apartmentsyndication [36] #apartmentinvesting,#multifamilyinvesting [22] #cre,#realestate [21] #cre,#commercialrealestate Top Word Pairs in Tweet in G9:
[44] #crecanada,#realestate [35] #cre,#crecanada [20] commercial,estate [13] self,storage [10] #corenetglobal,#corenetglobalhk [10] #corenetglobalhk,#cre [9] hong,kong [9] #cre,#corporaterealestate [8] #torre,#gta [7] industrial,estate Top Word Pairs in Tweet in G10:
[28] trdny,#cre [12] thebrokerlist,#cre [6] #cre,#realestate [6] urbanlandinst,#cre [6] commercial,estate [6] colliers,#cre [5] believe,opening [5] opening,doors [5] doors,help [5] help,diversify Top Replied-To in Entire Graph:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: