The graph represents a network of 2,457 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, 02 July 2020 at 17:06 UTC.
The requested start date was Thursday, 02 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 10-hour, 15-minute period from Thursday, 25 June 2020 at 13:44 UTC to Wednesday, 01 July 2020 at 23:59 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 : 2457
Unique Edges : 1984
Edges With Duplicates : 5872
Total Edges : 7856
Number of Edge Types : 5
Mentions : 1388
Tweet : 2769
MentionsInRetweet : 2239
Retweet : 1361
Replies to : 99
Self-Loops : 2805
Reciprocated Vertex Pair Ratio : 0.0400296515937732
Reciprocated Edge Ratio : 0.0769779044903778
Connected Components : 619
Single-Vertex Connected Components : 414
Maximum Vertices in a Connected Component : 1162
Maximum Edges in a Connected Component : 4798
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.745887
Graph Density : 0.000465001279333527
Modularity : 0.370634
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 2,457 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, 02 July 2020 at 17:06 UTC.
The requested start date was Thursday, 02 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 10-hour, 15-minute period from Thursday, 25 June 2020 at 13:44 UTC to Wednesday, 01 July 2020 at 23:59 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:
[319] commercial,estate [213] #cre,#commercialrealestate [210] covid,19 [178] #cre,#realestate [162] office,space [146] price,24h [146] 24h,change [146] change,volumes [146] volumes,eminerfans [146] eminerfans,#em Top Word Pairs in Tweet in G1:
[57] #cre,#commercialrealestate [45] commercial,estate [35] covid,19 [31] #cre,#realestate [28] national,#cre [27] #commercialrealestate,#cre [23] info,#cre [19] #realestate,#cre [17] #cre,#naisullivangroup [16] learn,more Top Word Pairs in Tweet in G2:
[149] commercial,estate [127] #cre,#tenanttips [113] #covid,19 [103] office,space [102] #office,#warehouse [99] #cre,#office [92] covid,19 [85] space,#cre [48] blog,great [45] #cre,#covid Top Word Pairs in Tweet in G3:
[16] #cre,#commercialrealestate [15] #covid19,#cre [14] covid,19 [9] #capitalmarkets,#cre [8] fort,wayne [7] housing,webinar [6] student,housing [6] #cre,#covid19 [6] free,seniors [6] seniors,housing Top Word Pairs in Tweet in G4:
[130] ask,executed [130] executed,assist [130] assist,retail [130] retail,merchants [130] merchants,process [130] process,various [130] various,cashless [130] cashless,payments [130] payments,rolling [130] rolling,paypal's Top Word Pairs in Tweet in G5:
[62] #florida,#cre [42] #cre,naiheritage [30] #land,#otherland [30] #ocala,#florida [25] #cre,#realestate [21] #retail,#streetretail [21] #office,#multitenantoffice [19] #texas,#cre [18] #office,#otheroffice [16] #arizona,#cre Top Word Pairs in Tweet in G6:
[23] commercial,estate [17] #cre,#commercialrealestate [11] covid,19 [9] lenders,commercial [9] estate,inundated [9] inundated,forbearance [9] forbearance,requests [9] requests,willing [9] willing,grant [9] grant,varies Top Word Pairs in Tweet in G7:
[16] early,bird [16] bird,tickets [16] tickets,50 [16] 50,discount [16] discount,coworking [16] coworking,europe [16] europe,2020 [16] 2020,vienna [16] vienna,covid19 [16] covid19,full Top Word Pairs in Tweet in G8:
[146] price,24h [146] 24h,change [146] change,volumes [146] volumes,eminerfans [146] eminerfans,#em [142] huobistats,price [114] vsyscoin,#vsys [77] hbtcofficial,#bh [41] #em,00359 [41] 00359,53m Top Word Pairs in Tweet in G9:
[26] more,info [26] #commercialrealestate,#cre [22] #cre,#forlease [19] #cre,#commercialrealestate [16] office,space [16] #cre,#corfac [16] sq,ft [14] available,lease [14] #corfac,#lmcap [13] #lmcap,#lmasoncapitani Top Word Pairs in Tweet in G10:
[11] globalenergymex,cre_mexico [11] cre_mexico,solicita [11] solicita,renuncia [11] renuncia,40 [11] 40,personal [11] personal,acuerdo [11] acuerdo,versiones [11] versiones,fuentes [11] fuentes,prefirieron [11] prefirieron,guardar Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: