The graph represents a network of 2,580 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, 17 March 2022 at 17:11 UTC.
The requested start date was Thursday, 17 March 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, 51-minute period from Thursday, 03 March 2022 at 00:08 UTC to Thursday, 17 March 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 : 2580
Unique Edges : 1994
Edges With Duplicates : 7669
Total Edges : 9663
Number of Edge Types : 5
MentionsInRetweet : 1850
Tweet : 4137
Mentions : 2065
Retweet : 1335
Replies to : 276
Self-Loops : 4172
Reciprocated Vertex Pair Ratio : 0.0538990825688073
Reciprocated Edge Ratio : 0.102285092491839
Connected Components : 760
Single-Vertex Connected Components : 522
Maximum Vertices in a Connected Component : 1167
Maximum Edges in a Connected Component : 5651
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.853284
Graph Density : 0.000414348449462114
Modularity : 0.293573
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,580 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, 17 March 2022 at 17:11 UTC.
The requested start date was Thursday, 17 March 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, 51-minute period from Thursday, 03 March 2022 at 00:08 UTC to Thursday, 17 March 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:
[517] #cre,#commercialrealestate [398] commercial,estate [226] #cre,#realestate [163] #cre,#creatl [159] #creatl,#atlanta [157] naibg,destroying [157] destroying,sprayberry [157] sprayberry,community [157] cobbcountygovt,#cre [156] #cre,#tenanttips Top Word Pairs in Tweet in G1:
[103] #cre,#commercialrealestate [102] commercial,estate [70] #cre,#realestate [62] national,#cre [57] #commercialrealestate,#cre [54] more,information [44] learn,more [40] #realestate,#cre [35] #commercialrealestate,#realestate [33] q4,2021 Top Word Pairs in Tweet in G2:
[50] #cre,#commercialrealestate [29] #cre,#crei [27] commercial,estate [21] #crei,#commercialrealestate [16] learn,more [15] women,#cre [13] #cre,#crefam [13] #commercialrealestate,#cre [13] #cre,#realestate [11] crew_network,global Top Word Pairs in Tweet in G3:
[64] #florida,#cre [61] #office,#multitenantoffice [46] #land,#otherland [37] #retail,#streetretail [35] #michigan,#cre [26] #illinois,#cre [24] #california,#cre [21] #office,#medicalhealthcare [20] #cre,naicapital [19] #industrialtransportation,#warehouse Top Word Pairs in Tweet in G4:
[85] #realestate,#land [81] #cre,#inlandempire [80] #inlandempire,#highdesert [80] #land,#investment [79] #highdesert,#realestate [78] #investment,#development [66] #development,#manufacturing [66] #manufacturing,#logistics [66] #logistics,#distribution [66] #distribution,#industrial Top Word Pairs in Tweet in G5:
[27] #cre,#commercialrealestate [21] naiop,prologis [21] prologis,inclusion [20] inclusion,#cre [20] #cre,scholarship [15] #wreb,#rebo [15] #rebo,rebusiness [14] 2022,naiop [14] #westerncre,#wreb [10] naiop,research Top Word Pairs in Tweet in G6:
[20] #cre,#realestate [16] #retail,#cre [12] 11,59 [11] tonight,11 [11] 59,naree's [11] naree's,#realestate [11] #realestate,#journalism [11] #journalism,competition [11] competition,entry [11] entry,deadline Top Word Pairs in Tweet in G7:
[38] #crecanada,#realestate [27] #cre,#crecanada [15] commercial,estate [10] #siorccc,#siorglobal [9] #cre,#siorccc [9] latest,newsletter [8] #siorskiday2022,#creevents [8] #creevents,#cre [8] #siorglobal,#skiday2022 [7] big,thanks Top Word Pairs in Tweet in G8:
[52] photography,commercial [50] wasted,water [50] water,noi [50] noi,going [50] going,down [50] down,drain [50] drain,iot [50] iot,toilet [50] toilet,floor [50] floor,sensors Top Word Pairs in Tweet in G9:
[69] #cre,#commercialrealestate [21] #denver,#colorado [15] #commercialrealestate,#cre [13] #retail,#retailnews [8] #colorado,#retail [7] big,lion [7] hessam,nadji [6] #chicago,#cre [6] prop,sells [6] #cre,industry Top Word Pairs in Tweet in G10:
[15] globestcom,#cre [9] #cre,#commercialrealestate [7] russian,aggression [7] aggression,mean [7] mean,#cyberattacks [7] #cyberattacks,#cre [7] #cre,firms [7] firms,globestcom [7] globestcom,#cybersecurity [6] #cre,#retail Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: