The graph represents a network of 2,369 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 March 2020 at 15:54 UTC.
The requested start date was Thursday, 26 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 8-hour, 19-minute period from Friday, 20 March 2020 at 15:40 UTC to Wednesday, 25 March 2020 at 23:59 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 : 2369
Unique Edges : 2534
Edges With Duplicates : 3329
Total Edges : 5863
Number of Edge Types : 4
MentionsInRetweet : 1620
Mentions : 1174
Tweet : 2952
Replies to : 117
Self-Loops : 2952
Reciprocated Vertex Pair Ratio : 0.0344036697247706
Reciprocated Edge Ratio : 0.0665188470066519
Connected Components : 708
Single-Vertex Connected Components : 469
Maximum Vertices in a Connected Component : 986
Maximum Edges in a Connected Component : 3575
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.116369
Graph Density : 0.000401975688225161
Modularity : 0.417003
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 2,369 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 March 2020 at 15:54 UTC.
The requested start date was Thursday, 26 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 8-hour, 19-minute period from Friday, 20 March 2020 at 15:40 UTC to Wednesday, 25 March 2020 at 23:59 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:
[394] commercial,estate [277] covid,19 [156] #cre,#office [150] office,space [143] space,#cre [102] #cre,#commercialrealestate [93] #cre,#tenanttips [89] naibg,refuses [83] #cre,#realestate [63] #realestate,#cre Top Word Pairs in Tweet in G1:
[54] commercial,estate [47] covid,19 [20] #cre,#commercialrealestate [19] #cre,#realestate [19] #realestate,#property [18] #property,#rents [18] #rents,#investments [17] market,2019 [17] estate,market [15] #realestate,#cre Top Word Pairs in Tweet in G2:
[23] gt,gt [16] #cre,connectcre [12] #cre,#tech [11] covid,19 [10] commercial,estate [8] #cre,#commercialrealestate [7] #covid19,#cre [7] top,#cre [7] #tech,influencers [7] influencers,follow Top Word Pairs in Tweet in G3:
[34] #florida,#cre [19] #texas,#cre [18] #cre,teamlbr [18] #land,#otherland [15] commercial,estate [14] #office,#multitenantoffice [10] #retail,#streetretail [8] rent,payment [8] office,space [8] #michigan,#cre Top Word Pairs in Tweet in G4:
[24] commercial,estate [14] latest,commercial [14] daily,thanks [10] #cre,#realestate [10] #retail,#cre [10] #cre,#reit [9] #cre,#commercialrealestate [9] estate,daily [9] #cre,#ccim [9] #ccim,#sior Top Word Pairs in Tweet in G5:
[170] commercial,estate [148] #cre,#office [142] space,#cre [116] office,space [88] #cre,#tenanttips [50] lease,#cre [49] internet,things [44] #cre,#iot [43] office,lease [41] #cre,#coworking Top Word Pairs in Tweet in G6:
[49] covid,19 [26] unprecedented,times [26] times,impacts [26] impacts,covid [26] continue,evolve [26] evolve,rapid [26] rapid,pace [25] pace,taking [22] #cre,#realestate [19] globe,mail Top Word Pairs in Tweet in G7:
[25] impact,#covid19 [19] experts,share [19] share,latest [19] latest,insights [19] insights,perspectives [19] perspectives,impact [19] #covid19,#cre [19] #cre,listen [18] cbre,experts [18] listen,ht Top Word Pairs in Tweet in G8:
[15] #realestate,#cre [10] retail,estate [9] commercial,estate [7] #nyrej,#cre [6] #cre,#retail [6] coronavirus,hit [6] hit,retail [6] retail,retail [6] estate,hard [6] hard,here's Top Word Pairs in Tweet in G9:
[14] already,seeing [14] seeing,rental [14] rental,deferral [14] deferral,landlords [14] landlords,willing [14] willing,offer [14] offer,april [14] april,june [14] june,longer [14] longer,free Top Word Pairs in Tweet in G10:
[54] total,#ht [54] #ht,trading [54] trading,pairs [54] pairs,45 [54] 45,volumes [54] volumes,pairs [54] lowest,volumes [54] volumes,#cre [54] highest,volumes [54] volumes,#usdt Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: