The graph represents a network of 2,745 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, 07 April 2022 at 17:12 UTC.
The requested start date was Thursday, 07 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, 51-minute period from Thursday, 24 March 2022 at 00:08 UTC to Thursday, 07 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 : 2745
Unique Edges : 2015
Edges With Duplicates : 7650
Total Edges : 9665
Number of Edge Types : 5
Retweet : 1343
MentionsInRetweet : 1701
Tweet : 4326
Replies to : 292
Mentions : 2003
Self-Loops : 4374
Reciprocated Vertex Pair Ratio : 0.0535222353404172
Reciprocated Edge Ratio : 0.101606275681733
Connected Components : 843
Single-Vertex Connected Components : 622
Maximum Vertices in a Connected Component : 1277
Maximum Edges in a Connected Component : 5477
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.754157
Graph Density : 0.000355403675912207
Modularity : 0.293289
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,745 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, 07 April 2022 at 17:12 UTC.
The requested start date was Thursday, 07 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, 51-minute period from Thursday, 24 March 2022 at 00:08 UTC to Thursday, 07 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:
[435] commercial,estate [429] #cre,#commercialrealestate [164] #cre,#creatl [160] #creatl,#atlanta [152] naibg,destroying [152] destroying,sprayberry [152] sprayberry,community [150] cobbcountygovt,#cre [141] #commercialrealestate,#cre [141] #cre,#tenanttips Top Word Pairs in Tweet in G1:
[118] #content,#creators [117] #xmeta,#xmetafanstoken [116] #tokenomics,#crypto [116] #blockchain,#future [115] #creators,#tokenomics [114] #crypto,#cryptocurrency [113] #cryptocurrency,#blockchain [108] #xmetafanstoken,#xmf [107] #xmf,#content [95] commercial,estate Top Word Pairs in Tweet in G2:
[173] #cre,#commercialrealestate [61] commercial,estate [54] #multifamily,#apartmentinvesting [45] #cre,#realestate [43] #realestateinvesting,#cre [42] #multifamilyinvesting,#multifamilyrealestate [42] #apartments,#realestateinvesting [41] #crecanada,#realestate [39] #apartmentsyndication,#apartments [37] #commercialrealestate,#cre Top Word Pairs in Tweet in G3:
[58] #cre,#commercialrealestate [22] #cre,#crei [21] influential,women [19] #cre,#chainlinkscre [15] list,influential [13] #crei,#commercialrealestate [12] #cre,#office [12] #sior,#cre [10] women,#cre [10] #officespace,#cre Top Word Pairs in Tweet in G4:
[56] #office,#multitenantoffice [48] #florida,#cre [38] #illinois,#cre [34] #land,#otherland [25] #retail,#streetretail [23] #california,#cre [23] #cre,maloofcom [19] #ccim,#corfac [18] #industrialtransportation,#warehouse [18] #retail,#stripcenter Top Word Pairs in Tweet in G5:
[42] cherry,blossoms [42] blossoms,aren [42] aren,thing [42] thing,blooming [42] blooming,district [42] district,columbia [42] columbia,#office [42] #office,views [42] views,washington [42] washington,metro Top Word Pairs in Tweet in G6:
[14] #cre,#reit [7] #cre,#realestate [7] video,#cre [6] net,lease [6] commercial,estate [5] #cre,#netlease [5] sales,reach [5] reach,record [5] record,high [5] high,618 Top Word Pairs in Tweet in G7:
[12] solar,fresh [12] fresh,air [12] air,heating [12] heating,systems [12] systems,top [12] top,#roi [12] #roi,green [12] green,building [12] building,projects [12] projects,#cre Top Word Pairs in Tweet in G8:
[8] learn,more [7] #realestate,#cre [6] #cre,leaders [6] career,outreach [6] crew_network,#cre [5] lightboxre,#cre [5] past,present [5] present,future [5] first,half [5] investor,sentiment Top Word Pairs in Tweet in G9:
[18] #cre,#commercialrealestate [11] #wreb,#rebo [11] #rebo,rebusiness [10] #westerncre,#wreb [7] sizes,types [7] types,#industrial [7] #industrial,#cre [7] #cre,performed [7] performed,well [7] well,2021 Top Word Pairs in Tweet in G10:
[17] #commercialrealestate,#realestate [17] florida,#cre [16] commercial,estate [15] south,florida [12] estate,cre [12] cre,affiliate [10] video,meet [10] joe,killinger [9] audrey,navarro [9] robert,poe Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: