The graph represents a network of 2,660 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, 31 March 2022 at 17:12 UTC.
The requested start date was Thursday, 31 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, 57-minute period from Thursday, 17 March 2022 at 00:02 UTC to Thursday, 31 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 : 2660
Unique Edges : 1923
Edges With Duplicates : 7379
Total Edges : 9302
Number of Edge Types : 5
Mentions : 1928
MentionsInRetweet : 1502
Tweet : 4427
Retweet : 1167
Replies to : 278
Self-Loops : 4478
Reciprocated Vertex Pair Ratio : 0.0466321243523316
Reciprocated Edge Ratio : 0.0891089108910891
Connected Components : 891
Single-Vertex Connected Components : 669
Maximum Vertices in a Connected Component : 1138
Maximum Edges in a Connected Component : 5084
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.349263
Graph Density : 0.000342714627863378
Modularity : 0.28772
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,660 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, 31 March 2022 at 17:12 UTC.
The requested start date was Thursday, 31 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, 57-minute period from Thursday, 17 March 2022 at 00:02 UTC to Thursday, 31 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:
[432] #cre,#commercialrealestate [394] commercial,estate [167] #cre,#tenanttips [160] #cre,#creatl [156] #creatl,#atlanta [155] #content,#creators [155] #tokenomics,#crypto [153] learn,more [153] #blockchain,#future [152] #tenanttips,#corporaterealestate Top Word Pairs in Tweet in G1:
[145] #content,#creators [143] #tokenomics,#crypto [142] #blockchain,#future [141] #xmeta,#xmetafanstoken [141] #creators,#tokenomics [140] #crypto,#cryptocurrency [139] #cryptocurrency,#blockchain [133] #xmetafanstoken,#xmf [133] #xmf,#content [96] commercial,estate Top Word Pairs in Tweet in G2:
[61] #office,#multitenantoffice [52] #florida,#cre [43] #land,#otherland [43] #illinois,#cre [31] #cre,#commercialrealestate [30] #retail,#streetretail [28] #california,#cre [26] #pennsylvania,#cre [23] #cre,maloofcom [20] #retail,#stripcenter Top Word Pairs in Tweet in G3:
[32] #retail,#cre [31] #crecanada,#realestate [24] #cre,#crecanada [17] globestcom,#cre [16] #sior,#cre [13] #realestate,#cre [12] commercial,estate [8] ccim,sior [7] commercial,property [7] property,executive Top Word Pairs in Tweet in G4:
[167] commercial,estate [166] #cre,#tenanttips [151] #tenanttips,#corporaterealestate [145] #cre,#commercialrealestate [69] #cre,#office [65] office,space [48] #leasing,#tenanttips [43] corporate,estate [42] #office,#warehouse [41] #tenanttips,#office Top Word Pairs in Tweet in G5:
[56] #cre,#commercialrealestate [10] commercial,estate [8] estate,investment [8] investment,sales [7] thrilled,announce [7] announce,cbre [7] cbre,listed [7] listed,top [7] top,ranked [7] ranked,firm Top Word Pairs in Tweet in G6:
[42] #multifamily,#apartmentinvesting [29] #multifamilyinvesting,#multifamilyrealestate [29] #apartments,#realestateinvesting [29] #realestateinvesting,#cre [27] #apartmentsyndication,#apartments [25] #multifamilyrealestate,#multifamilysyndication [25] #multifamilysyndication,#apartmentsyndication [20] #cre,#commercialrealestate [19] florida,#cre [18] #apartmentinvesting,#multifamilyinvesting Top Word Pairs in Tweet in G7:
[30] photography,commercial [20] #denver,#colorado [19] water,sensors [19] sensors,save [19] save,water [19] water,money [19] money,check [19] check,introduction [19] introduction,sensor [19] sensor,industries Top Word Pairs in Tweet in G8:
[7] latest,business [7] business,daily [7] daily,thanks [7] #cre,#realestate [5] net,lease [4] #cre,#netlease [4] #cre,#redevelopment [4] crisis,housing [4] housing,part [4] part,multifamily Top Word Pairs in Tweet in G9:
[44] cherry,blossoms [44] blossoms,aren [44] aren,thing [44] thing,blooming [44] blooming,district [44] district,columbia [44] columbia,#office [44] #office,views [44] views,washington [44] washington,metro Top Word Pairs in Tweet in G10:
[8] #cre,#commercialrealestate [7] #cre,#crefam [7] globestcom,#cre [6] #cre,industry [6] kidder,mathews [6] ah,ah [5] learn,more [4] people,ask [4] ask,involved [4] involved,#cre 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 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: