The graph represents a network of 2,454 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, 25 August 2022 at 16:57 UTC.
The requested start date was Thursday, 25 August 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, 54-minute period from Thursday, 11 August 2022 at 00:06 UTC to Thursday, 25 August 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 : 2454
Unique Edges : 1819
Edges With Duplicates : 6961
Total Edges : 8780
Number of Edge Types : 5
Mentions : 1732
Retweet : 1159
MentionsInRetweet : 1546
Tweet : 4160
Replies to : 183
Self-Loops : 4199
Reciprocated Vertex Pair Ratio : 0.0475978647686833
Reciprocated Edge Ratio : 0.0908704883227176
Connected Components : 792
Single-Vertex Connected Components : 563
Maximum Vertices in a Connected Component : 1072
Maximum Edges in a Connected Component : 5320
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.380704
Graph Density : 0.000391217978683853
Modularity : 0.290473
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,454 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, 25 August 2022 at 16:57 UTC.
The requested start date was Thursday, 25 August 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, 54-minute period from Thursday, 11 August 2022 at 00:06 UTC to Thursday, 25 August 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:
[418] #cre,#commercialrealestate [331] upflow,volume [310] volume,upbit [310] upbit,korea [246] commercial,estate [148] #realestate,#cre [146] #cre,#realestate [130] #commercialrealestate,#cre [128] office,space [115] naibg,refuses Top Word Pairs in Tweet in G1:
[83] national,#cre [73] #cre,#commercialrealestate [63] commercial,estate [43] fiche,standardisée [43] standardisée,d'information [43] d'information,précise [43] précise,coût [43] coût,total [43] total,l'assurance [43] l'assurance,huit Top Word Pairs in Tweet in G2:
[98] #cre,#commercialrealestate [68] #office,#multitenantoffice [68] #florida,#cre [61] #land,#otherland [36] commercial,estate [33] #mdlgrouplv,#cre [32] #california,#cre [29] #retail,#streetretail [26] #dailythought,#mdlgrouplv [25] #texas,#cre Top Word Pairs in Tweet in G3:
[171] #cre,#commercialrealestate [88] #cre,#inlandempire [85] #inlandempire,#highdesert [81] #highdesert,#realestate [79] #whisky,#wine [79] #wine,#beer [77] #beer,#vodka [76] #realestate,#land [76] #vodka,#tequila [75] #cre,#reit Top Word Pairs in Tweet in G4:
[10] #cre,#industrialcre [9] #cre,#commercialrealestate [8] #sior,#cre [7] read,more [6] #cre,#realestate [5] building,operations [5] next,economy [5] economy,#theweeklytake [5] #theweeklytake,cbre [5] cbre,mike Top Word Pairs in Tweet in G5:
[13] sentiment,survey [9] commercial,estate [8] survey,#cre [7] full,story [7] more,details [7] #connectcre,#cre [6] posted,historic [6] historic,showing [6] treppwire,#trepp [6] #trepp,second Top Word Pairs in Tweet in G6:
[49] #multifamily,#apartmentinvesting [38] #apartmentinvesting,#multifamilyinvesting [33] #multifamilyinvesting,#apartments [30] #apartments,#multifamilyrealestate [30] #cre,#assetmanagement [29] #assetmanagement,#wealthmanagement [26] thanks,including [26] including,#multifamily [20] pa,property [20] property,type Top Word Pairs in Tweet in G7:
[17] #cre,#realestate [15] #matthews,#cre [12] commercial,estate [11] more,information [10] information,#matthews [7] office,space [6] ay_canada,report [6] latest,newsletter [6] #futureofwork,survey [6] survey,revealed Top Word Pairs in Tweet in G8:
[51] #realestate,#cre [12] #cre,#mortgage [12] white,labeling [10] food,thought [10] thought,another [10] another,way [10] way,great [10] great,#greatnessday [10] #greatnessday,white [10] labeling,#parqex's Top Word Pairs in Tweet in G9:
[29] trdny,#cre [9] colliers,#cre [8] article,posted [7] urbanlandinst,#cre [5] compelling,article [5] posted,landpolicy [5] landpolicy,discussing [5] discussing,climate [5] climate,action [5] action,link Top Word Pairs in Tweet in G10:
[28] #crecanada,#realestate [20] #cre,#crecanada [18] #cre,#realestate [11] #business,#news [9] millennium,tower [8] #realestate,#cre [8] tower,office [7] office,building [7] aspen,properties [7] properties,hazelview 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 G6:
Top Replied-To in G7:
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: