The graph represents a network of 2,532 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, 12 May 2022 at 16:58 UTC.
The requested start date was Thursday, 12 May 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, 45-minute period from Thursday, 28 April 2022 at 00:15 UTC to Thursday, 12 May 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 : 2532
Unique Edges : 1689
Edges With Duplicates : 6948
Total Edges : 8637
Number of Edge Types : 5
Mentions : 1806
MentionsInRetweet : 1540
Tweet : 3740
Retweet : 1273
Replies to : 278
Self-Loops : 3775
Reciprocated Vertex Pair Ratio : 0.0437445319335083
Reciprocated Edge Ratio : 0.0838222967309304
Connected Components : 731
Single-Vertex Connected Components : 473
Maximum Vertices in a Connected Component : 1001
Maximum Edges in a Connected Component : 4210
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.08665
Graph Density : 0.00037231847991696
Modularity : 0.295825
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,532 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, 12 May 2022 at 16:58 UTC.
The requested start date was Thursday, 12 May 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, 45-minute period from Thursday, 28 April 2022 at 00:15 UTC to Thursday, 12 May 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:
[434] #cre,#commercialrealestate [327] commercial,estate [177] #cre,#realestate [163] #cre,#creatl [160] #creatl,#atlanta [158] naibg,destroying [158] destroying,sprayberry [158] sprayberry,community [156] cobbcountygovt,#cre [135] #commercialrealestate,#cre Top Word Pairs in Tweet in G1:
[95] commercial,estate [93] #cre,#commercialrealestate [59] q1,2022 [51] #commercialrealestate,#cre [48] #offices,#cre [41] more,information [40] #property,#rents [34] #cre,#realestate [33] learn,more [31] estate,market Top Word Pairs in Tweet in G2:
[44] #cre,#commercialrealestate [27] #sior,#cre [14] #reach,#nar [13] commercial,estate [13] #cre,#crefam [13] elected,serve [12] #cre,#crei [11] siorglobal,#transact360 [10] #scra,#growco [10] #cre,#retail Top Word Pairs in Tweet in G3:
[69] #florida,#cre [44] #office,#multitenantoffice [36] #retail,#streetretail [29] #cre,#commercialrealestate [24] #illinois,#cre [24] welcome,tbl [24] tbl,#cre [24] #cre,member [23] #new,york [23] york,#cre Top Word Pairs in Tweet in G4:
[92] #cre,#inlandempire [91] #inlandempire,#highdesert [90] #realestate,#land [87] #highdesert,#realestate [86] #land,#investment [81] #investment,#development [70] #development,#manufacturing [70] #logistics,#distribution [70] #distribution,#industrial [69] commercial,estate Top Word Pairs in Tweet in G5:
[24] #retail,#cre [17] #cre,#realestate [17] #matthews,#cre [14] more,information [12] #cre,#commercialrealestate [12] gt,gt [10] globestcom,#cre [9] shopping,center [9] estate,forum [8] commercial,estate Top Word Pairs in Tweet in G6:
[110] フロリダのケネディ宇宙センター39a射点から53機の,#starlink [110] #starlink,衛星が打上りました [110] 衛星が打上りました,27に同じ39a射点から [110] 27に同じ39a射点から,#crewdragon [110] #crewdragon,が打上がってからわずか9日 [110] が打上がってからわずか9日,39a射点での打上げ間隔の最短記録です [109] astro_naoko,フロリダのケネディ宇宙センター39a射点から53機の Top Word Pairs in Tweet in G7:
[13] #cre,#retailnews [13] #retailnews,#retail [13] #retail,#retailoklahoma [10] #commercialrealestate,#cre [10] manhattan,cre [10] cre,industry [10] industry,news [10] news,gt [10] gt,gt [5] q1,2022 Top Word Pairs in Tweet in G8:
[24] baxter,ditch [24] ditch,deerfield [24] deerfield,#illinois [24] #illinois,hq [24] hq,listing [24] listing,101 [24] 101,acre [24] acre,campus [24] campus,sale [24] sale,'embraces Top Word Pairs in Tweet in G9:
[21] commercial,estate [16] #cre,#commercialrealestate [13] #cre,#realestate [13] #commercialrealestate,#realestate [11] #realestate,#cre [10] video,meet [10] commercial,cre [10] cre,affiliate [10] joe,killinger [10] estate,agent Top Word Pairs in Tweet in G10:
[27] trdny,#cre [15] thebrokerlist,#cre [8] commercial,estate [8] #evartology,#painting [8] #painting,#digitalart [8] #digitalart,#nft [8] #nft,#devops [8] #devops,#nftart [7] #cre,#commercial [6] foundation,chapter Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
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: