The graph represents a network of 3,188 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, 06 August 2020 at 17:40 UTC.
The requested start date was Thursday, 06 August 2020 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 9-day, 5-hour, 20-minute period from Monday, 27 July 2020 at 15:25 UTC to Wednesday, 05 August 2020 at 20:45 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 : 3188
Unique Edges : 2816
Edges With Duplicates : 8472
Total Edges : 11288
Number of Edge Types : 5
Mentions : 2376
Retweet : 1849
MentionsInRetweet : 2638
Tweet : 4276
Replies to : 149
Self-Loops : 4318
Reciprocated Vertex Pair Ratio : 0.0546980774438126
Reciprocated Edge Ratio : 0.103722721437741
Connected Components : 792
Single-Vertex Connected Components : 504
Maximum Vertices in a Connected Component : 1733
Maximum Edges in a Connected Component : 7914
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.175769
Graph Density : 0.00038336025549214
Modularity : 0.33309
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,188 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, 06 August 2020 at 17:40 UTC.
The requested start date was Thursday, 06 August 2020 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 9-day, 5-hour, 20-minute period from Monday, 27 July 2020 at 15:25 UTC to Wednesday, 05 August 2020 at 20:45 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:
[520] commercial,estate [344] #cre,#commercialrealestate [325] #cre,#realestate [244] covid,19 [195] #cre,#tenanttips [192] #cre,#office [172] gt,gt [162] office,space [148] #realestate,#cre [126] #commercialrealestate,#cre Top Word Pairs in Tweet in G1:
[81] commercial,estate [75] #cre,#realestate [66] #cre,#commercialrealestate [50] #commercialrealestate,#cre [37] #realestate,#cre [34] #tbl,#cre [32] info,#cre [29] national,#cre [26] covid,19 [25] office,space Top Word Pairs in Tweet in G2:
[74] #retail,#cre [50] commercial,estate [40] welcome,tbl [40] tbl,#cre [40] #cre,member [33] shopping,centers [28] #retail,#streetretail [23] shopping,center [23] covid,19 [23] office,market Top Word Pairs in Tweet in G3:
[72] #cre,#commercialrealestate [24] marcus,millichap [22] covid,19 [22] coworking,europe [20] #realestate,#cre [14] #cre,#realestate [13] health,crisis [13] #flexibleoffice,#flexspace [13] capital,markets [12] commercial,estate Top Word Pairs in Tweet in G4:
[48] #cre,#commercialrealestate [19] commercial,estate [17] florida,#cre [13] south,florida [11] covid,19 [11] #officebuildinginvesting,#creinvestment [11] #creinvestment,#cre [10] office,space [8] half,2020 [8] #cre,#realestate Top Word Pairs in Tweet in G5:
[22] #covid19,#cre [12] #covid19relief,#covidrecovery [12] #cre,#re [11] #covid19,#covidrelief [11] #covidrelief,#coronavirus [11] #coronavirus,#covid19relief [11] #covidrecovery,#cre [11] #re,#commercialrealestate [11] #commercialrealestate,#realestate [11] #covid,#covid19 Top Word Pairs in Tweet in G6:
[104] #cre,#realestate [45] check,story [43] story,retailinsider_ [42] gt,gt [23] virtual,summit [22] #cretech,#cre [21] #tech,#technology [21] #business,#businessnews [20] learn,more [19] sunday,property Top Word Pairs in Tweet in G7:
[18] commercial,estate [14] #cre,#commercialrealestate [14] summer,2020 [13] #sior,#cre [12] #naicirbgg,#billgladstonegroup [12] allen,matkins [12] sparrowhawkre,tune [10] #billgladstonegroup,#cre [10] covid,19 [10] forecast,california Top Word Pairs in Tweet in G8:
[41] #cre,#highdesert [41] #highdesert,#inlandempire [38] #land,#investments [36] #inlandempire,#realestate [36] #realestate,#land [36] #investments,#development [35] #development,#industrial [23] #cre,#commercialrealestate [22] latest,thanks [13] #cre,#officespace Top Word Pairs in Tweet in G9:
[14] collaborated,clevelandclinic [14] clevelandclinic,one [12] avison,young [12] covid,19 [10] respected,hospitals [10] hospitals,#returntooffice [9] more,#cre [9] we've,collaborated [9] one,respected [8] plus,more Top Word Pairs in Tweet in G10:
[20] future,office [19] #1,question [19] question,#cre [19] #cre,today [19] today,future [19] office,despite [19] despite,challenges [19] challenges,facing [19] facing,today [19] today,changes Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: