The graph represents a network of 1,741 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, 24 November 2022 at 17:54 UTC.
The requested start date was Thursday, 24 November 2022 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 11-day, 22-hour, 50-minute period from Friday, 11 November 2022 at 16:53 UTC to Wednesday, 23 November 2022 at 15:43 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 : 1741
Unique Edges : 1291
Edges With Duplicates : 4177
Total Edges : 5468
Number of Edge Types : 5
Replies to : 103
Mentions : 1043
Tweet : 2782
MentionsInRetweet : 870
Retweet : 670
Self-Loops : 2807
Reciprocated Vertex Pair Ratio : 0.0414683888511217
Reciprocated Edge Ratio : 0.0796344647519582
Connected Components : 615
Single-Vertex Connected Components : 447
Maximum Vertices in a Connected Component : 709
Maximum Edges in a Connected Component : 3125
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.174679
Graph Density : 0.000505720718044194
Modularity : 0.313877
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,741 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, 24 November 2022 at 17:54 UTC.
The requested start date was Thursday, 24 November 2022 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 11-day, 22-hour, 50-minute period from Friday, 11 November 2022 at 16:53 UTC to Wednesday, 23 November 2022 at 15:43 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:
[333] #cre,#commercialrealestate [276] upflow,volume [270] upbit,korea [270] volume,upbit [154] commercial,estate [123] #commercialrealestate,#cre [117] #cre,#realestate [105] #realestate,#cre [90] learn,more [75] office,space Top Word Pairs in Tweet in G1:
[61] #cre,#commercialrealestate [53] #commercialrealestate,#cre [48] commercial,estate [43] #cre,#realestate [40] learn,more [39] info,#cre [37] space,lease [35] #cre,#naisullivangroup [32] more,information [25] office,space Top Word Pairs in Tweet in G2:
[157] #cre,#commercialrealestate [69] #cre,#inlandempire [68] #inlandempire,#highdesert [67] #highdesert,#realestate [66] #realestate,#land [65] #land,#investment [64] #investment,#development [56] #manufacturing,#logistics [56] #logistics,#distribution [56] #development,#manufacturing Top Word Pairs in Tweet in G3:
[20] #office,#multitenantoffice [18] #retail,#streetretail [18] #california,#cre [15] #florida,#cre [13] #illinois,#cre [11] #cre,naicapital [11] #land,#otherland [10] #cre,#crei [10] #michigan,#cre [9] #cre,#commercialrealestate Top Word Pairs in Tweet in G4:
[49] #cre,#commercialrealestate [33] #cre,broker [16] #cre,brokers [15] #cre,biz [13] #cre,community [11] #cre,folks [10] #cre,#retwit [10] #cre,client [9] #retwit,#cre [8] #cre,landlords Top Word Pairs in Tweet in G5:
[31] #realestate,#cre [8] globestcom,#cre [6] economy,leaders [6] ketteringu,emblematic [6] #cre,#detroit [6] learning,commons [6] growing,#innovation [6] #cre,#retail [6] #innovation,economy [6] #flint's,growing Top Word Pairs in Tweet in G6:
[34] #newjersey,#nj [33] #cre,#njcre [32] briefing,11 [32] #nj,#thedailybriefing [31] #newjerseyrealestate,#realestatenj [29] #commercialrealestate,#newjerseyrealestate [25] #thedailybriefing,#commercialrealestate [24] featured,briefing [22] #realestatenj,#news [15] #news,#cre Top Word Pairs in Tweet in G7:
[14] loan,against [13] #cre,#cmbs [11] special,servicer [11] servicer,#cre [10] moves,special [8] against,350 [8] seen,defaulting [8] 400mln,loan [8] #cmbs,#vornado [8] #vornado,#reit Top Word Pairs in Tweet in G8:
[6] ccim,sior [5] celebrates,#cre [5] learn,more [5] #marej,celebrates [5] #cre,trailblazers [5] trailblazers,learn [5] leadership,summit [5] interest,rates [4] nai,leadership [4] december,york Top Word Pairs in Tweet in G9:
[271] upflow,volume [265] volume,upbit [265] upbit,korea [59] national,#cre [36] korea,#doge [29] korea,#xrp [26] trdny,#cre [23] korea,#iq [22] #btc,#eth [16] #xrp,#btc Top Word Pairs in Tweet in G10:
[22] #crecanada,#realestate [20] daily,remote [20] job,opportunities [20] #hiring,#humanresources [20] #remote,#remotejobs [20] remote,job [20] opportunities,#digitalnomad [20] #cre,#workplace [20] #digitalnomad,#remote [20] #cre,#crecanada Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: