The graph represents a network of 2,493 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, 04 June 2020 at 17:17 UTC.
The requested start date was Thursday, 04 June 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 7-day, 0-hour, 25-minute period from Wednesday, 27 May 2020 at 20:00 UTC to Wednesday, 03 June 2020 at 20:25 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 : 2493
Unique Edges : 2021
Edges With Duplicates : 5761
Total Edges : 7782
Number of Edge Types : 5
Mentions : 1311
Tweet : 2857
Retweet : 1424
MentionsInRetweet : 2118
Replies to : 72
Self-Loops : 2903
Reciprocated Vertex Pair Ratio : 0.0422587883320868
Reciprocated Edge Ratio : 0.0810907786149982
Connected Components : 669
Single-Vertex Connected Components : 442
Maximum Vertices in a Connected Component : 1108
Maximum Edges in a Connected Component : 4460
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.145424
Graph Density : 0.000448607626233067
Modularity : 0.374376
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,493 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, 04 June 2020 at 17:17 UTC.
The requested start date was Thursday, 04 June 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 7-day, 0-hour, 25-minute period from Wednesday, 27 May 2020 at 20:00 UTC to Wednesday, 03 June 2020 at 20:25 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 G2:
[68] #retail,#cre [51] #cre,#commercialrealestate [40] commercial,estate [40] #office,#multitenantoffice [32] #florida,#cre [30] #retail,#streetretail [30] office,space [29] florida,#cre [29] covid,19 [28] #cre,#realestate Top Word Pairs in Tweet in G3:
[46] #cre,#commercialrealestate [33] covid,19 [22] #commercialrealestate,#realestate [20] #cre,#reit [14] read,more [14] #commercialrealestate,#cre [12] #cre,#realestate [12] commercial,estate [11] data,integration [11] news,funnel Top Word Pairs in Tweet in G4:
[50] #covid19,#cre [20] #cre,#reit [20] reston,metro [17] metro,center [13] center,one [11] video,#cre [11] phillips,realty [10] realty,capital [8] rubenstein,mortgage [8] mortgage,capital Top Word Pairs in Tweet in G5:
[14] #cre,#realestate [8] renx,#cre [6] covid,19 [6] globe,mail [6] social,distancing [6] toronto,star [5] work,home [5] estate,news [4] successfully,property [4] property,front Top Word Pairs in Tweet in G6:
[110] price,24h [15] 24h,change [14] change,volumes [12] huobistats,price [10] hbtcofficial,#bht [10] volumes,hbtcofficial [9] #bht,157 [9] carryprotocol,#cre [8] 157,903 [8] 903,5k Top Word Pairs in Tweet in G7:
[108] office,space [108] more,info [108] commercial,estate [100] space,available [85] space,lease [72] #cre,#commercialrealestate [68] #denver,#colorado [60] #cre,#realestate [33] retail,space [33] #cre,#retail Top Word Pairs in Tweet in G8:
[31] #cre,#commercialrealestate [23] #investments,#development [23] #cre,#highdesert [20] #highdesert,#inlandempire [20] #land,#investments [19] latest,thanks [15] #inlandempire,#realestate [15] #realestate,#land [13] #development,#industrial [13] #retail,#retailoklahoma Top Word Pairs in Tweet in G9:
[20] #realestate,#commercialrealestate [18] #covid,#covid19 [17] #covidrelief,#covid19relief [17] #covid19,#covidrelief [17] #covid19relief,#covidrecovery [16] #covidrecovery,#cre [16] #cre,#re [16] #re,#realestate [16] #re,#cre [15] #cre,#realestate Top Word Pairs in Tweet in G10:
[25] cbre,experts [22] experts,around [20] around,globe [18] globe,discussed [17] issues,importance [16] importance,#cre [16] #cre,investors [16] cbrecapitalmkts,cbre [10] investors,including [9] discussed,wide 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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