The graph represents a network of 2,392 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, 26 May 2022 at 16:57 UTC.
The requested start date was Thursday, 26 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, 50-minute period from Thursday, 12 May 2022 at 00:10 UTC to Thursday, 26 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 : 2392
Unique Edges : 1785
Edges With Duplicates : 7478
Total Edges : 9263
Number of Edge Types : 5
Tweet : 3869
Retweet : 1314
MentionsInRetweet : 1797
Mentions : 2019
Replies to : 264
Self-Loops : 3936
Reciprocated Vertex Pair Ratio : 0.0479166666666667
Reciprocated Edge Ratio : 0.0914512922465209
Connected Components : 715
Single-Vertex Connected Components : 468
Maximum Vertices in a Connected Component : 1040
Maximum Edges in a Connected Component : 5430
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.94166
Graph Density : 0.000439741281757538
Modularity : 0.282989
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,392 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, 26 May 2022 at 16:57 UTC.
The requested start date was Thursday, 26 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, 50-minute period from Thursday, 12 May 2022 at 00:10 UTC to Thursday, 26 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:
[388] #cre,#commercialrealestate [316] commercial,estate [155] #cre,#creatl [153] #cre,#realestate [153] #creatl,#atlanta [145] naibg,destroying [145] destroying,sprayberry [145] sprayberry,community [144] cobbcountygovt,#cre [133] cresportsgg,#cre Top Word Pairs in Tweet in G1:
[105] #cre,#commercialrealestate [100] commercial,estate [73] q1,2022 [60] #property,#rents [54] #offices,#cre [53] estate,market [47] learn,more [40] market,q1 [39] more,information [38] #commercialrealestate,#cre Top Word Pairs in Tweet in G2:
[155] #cre,#commercialrealestate [97] #cre,#inlandempire [94] #inlandempire,#highdesert [94] #realestate,#land [92] #highdesert,#realestate [89] #land,#investment [83] #investment,#development [81] #multifamily,#apartmentinvesting [73] #development,#manufacturing [73] #manufacturing,#logistics Top Word Pairs in Tweet in G3:
[89] national,#cre [42] #retail,#cre [40] icsc,vegas [23] #cre,#realestate [22] icsc,2022 [22] retail,estate [22] #cre,#commercialrealestate [21] learn,more [18] more,#cre [18] #cre,#chainlinkscre Top Word Pairs in Tweet in G4:
[153] #cre,#creatl [153] #creatl,#atlanta [145] naibg,destroying [145] destroying,sprayberry [145] sprayberry,community [144] cobbcountygovt,#cre [78] community,maybe [77] property,cobbcountygovt [70] #office,#multitenantoffice [68] naibg,refuses Top Word Pairs in Tweet in G5:
[13] today,noon [13] noon,juliewhelancbre [13] juliewhelancbre,speak [13] speak,virtual [13] virtual,barronsonline [13] barronsonline,roundtable [13] roundtable,future [13] future,workplace [13] workplace,tune [13] tune,explore Top Word Pairs in Tweet in G6:
[66] #cre,#crecanada [40] #crecanada,#realestate [15] #cre,#realestate [10] #business,#news [9] #realestate,#cre [8] #realestate,#gta [7] details,#cre [7] area,industrial [6] #gta,#torre [6] greater,toronto Top Word Pairs in Tweet in G7:
[88] #cre,#tenanttips [68] #tenanttips,#corporaterealestate [62] commercial,estate [31] san,francisco [31] francisco,taxes [29] #office,#warehouse [29] #cre,#office [28] #tenanttips,#tenantrep [23] #leasing,#tenanttips [23] #tenanttips,#office Top Word Pairs in Tweet in G8:
[26] trdny,#cre [17] thebrokerlist,#cre [6] urbanlandinst,#cre [5] more,#cre [5] gt,gt [5] office,space [5] record,setting [5] setting,year [5] year,2022 [5] 2022,strong Top Word Pairs in Tweet in G9:
[133] cresportsgg,#cre [81] #cre,signing [21] roster,former [19] #cre,vacancies [19] vacancies,available [19] available,head [19] head,playstation [19] playstation,department [19] department,video [19] video,editors Top Word Pairs in Tweet in G10:
[19] #projectmanager,#cre [14] #techteam,#technology [8] #proptech,#cre [6] #itrelocation,#projectmanager [5] realcommtweet,join [5] excited,yardi [5] yardi,received [5] received,technology [5] technology,excellence [5] excellence,award 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 G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: