The graph represents a network of 3,033 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, 29 October 2020 at 17:15 UTC.
The requested start date was Thursday, 29 October 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, 45-minute period from Monday, 19 October 2020 at 18:14 UTC to Thursday, 29 October 2020 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 : 3033
Unique Edges : 2439
Edges With Duplicates : 7983
Total Edges : 10422
Number of Edge Types : 5
Mentions : 2321
Retweet : 1350
MentionsInRetweet : 1881
Tweet : 4592
Replies to : 278
Self-Loops : 4626
Reciprocated Vertex Pair Ratio : 0.0497495826377296
Reciprocated Edge Ratio : 0.0947837150127226
Connected Components : 888
Single-Vertex Connected Components : 595
Maximum Vertices in a Connected Component : 1471
Maximum Edges in a Connected Component : 6754
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.464585
Graph Density : 0.000341885695345918
Modularity : 0.311391
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,033 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, 29 October 2020 at 17:15 UTC.
The requested start date was Thursday, 29 October 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, 45-minute period from Monday, 19 October 2020 at 18:14 UTC to Thursday, 29 October 2020 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:
[480] commercial,estate [314] #cre,#commercialrealestate [243] #cre,#realestate [214] #cre,#office [182] covid,19 [176] #cre,#tenanttips [171] naibg,refuses [158] #covid,19 [157] gt,gt [149] office,space Top Word Pairs in Tweet in G1:
[106] gt,gt [92] commercial,estate [69] national,#cre [67] #cre,#commercialrealestate [54] #roc,#cre [38] #cre,#retail [38] rick,altier [37] #commercialrealestate,#cre [34] #cre,#realestate [32] info,#cre Top Word Pairs in Tweet in G2:
[37] #retail,#cre [34] #cre,#commercialrealestate [30] commercial,estate [18] #cre,#realestate [12] covid,19 [12] #cre,#retail [11] globestcom,#retail [10] #cre,#tenantrep [10] #cre,#tech [10] #sior,#cre Top Word Pairs in Tweet in G3:
[66] #office,#multitenantoffice [37] #florida,#cre [32] #retail,#streetretail [25] #kentucky,#cre [22] #land,#otherland [21] #cre,svnlexington [21] #california,#cre [19] #lexington,#kentucky [18] #illinois,#cre [18] #michigan,#cre Top Word Pairs in Tweet in G4:
[14] plz,comment [14] comment,share [14] commercial,#realestate [14] #realestate,#cre [11] #lead,myriad [9] commercial,estate [8] #covid,19 [7] #enhance,#tech [6] #tech,#lead [6] newmark,knight Top Word Pairs in Tweet in G5:
[39] #cre,#realestate [14] #realestate,#cre [14] check,story [12] purpose,built [11] mixed,use [11] covid,19 [11] story,retailinsider_ [10] renx,daily [10] daily,newsletter [10] 2020,top Top Word Pairs in Tweet in G6:
[56] #cre,#commercialrealestate [46] #cre,#highdesert [46] #highdesert,#inlandempire [42] #inlandempire,#land [35] #land,#investments [31] commercial,estate [29] #investments,#development [24] #development,#industrial [22] latest,thanks [21] covid,19 Top Word Pairs in Tweet in G7:
[32] milehighcre,#cre [31] life,sciences [29] cbrecapitalmkts,#cre [27] sciences,estate [22] media,companies [22] companies,tech [22] tech,companies [22] companies,rise [22] rise,streaming [22] streaming,gaming Top Word Pairs in Tweet in G8:
[24] gt,gt [17] 2020,#retas [15] gt,#cretech [14] #tech,#technology [13] #cre,#tech [12] latest,estate [11] live,event [10] learn,more [10] awards,#cre [9] #cretech,#realestate Top Word Pairs in Tweet in G9:
[16] coworking,europe [16] europe,hub [16] virtual,conference [14] join,coworking [14] hub,permanent [14] permanent,online [14] online,environment [14] environment,hosting [14] hosting,virtual [14] conference,2020 Top Word Pairs in Tweet in G10:
[210] commercial,estate [192] #cre,#office [173] #cre,#tenanttips [171] naibg,refuses [145] #covid,19 [111] lease,#cre [98] #cre,#creatl [97] #creatl,#atlanta [95] office,lease [86] naibg,destroying 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: