The graph represents a network of 2,682 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, 17 June 2021 at 17:11 UTC.
The requested start date was Thursday, 17 June 2021 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, 54-minute period from Thursday, 03 June 2021 at 00:06 UTC to Thursday, 17 June 2021 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 : 2682
Unique Edges : 2163
Edges With Duplicates : 7340
Total Edges : 9503
Number of Edge Types : 5
Tweet : 4073
Retweet : 1281
MentionsInRetweet : 1732
Mentions : 2181
Replies to : 236
Self-Loops : 4124
Reciprocated Vertex Pair Ratio : 0.0575433419402435
Reciprocated Edge Ratio : 0.108824555284269
Connected Components : 728
Single-Vertex Connected Components : 488
Maximum Vertices in a Connected Component : 1410
Maximum Edges in a Connected Component : 6076
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.29723
Graph Density : 0.000398723750222865
Modularity : 0.307596
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,682 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, 17 June 2021 at 17:11 UTC.
The requested start date was Thursday, 17 June 2021 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, 54-minute period from Thursday, 03 June 2021 at 00:06 UTC to Thursday, 17 June 2021 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:
[544] #cre,#commercialrealestate [362] commercial,estate [238] #commercialrealestate,#cre [175] #cre,#realestate [159] office,space [157] learn,more [157] #cre,#creatl [150] naibg,destroying [150] destroying,sprayberry [150] sprayberry,community Top Word Pairs in Tweet in G1:
[118] #cre,#commercialrealestate [105] commercial,estate [59] #commercialrealestate,#cre [55] more,information [49] national,#cre [38] #realestate,#cre [36] office,space [34] #cre,#realestate [34] learn,more [33] #cre,#retail Top Word Pairs in Tweet in G2:
[45] trdny,#cre [38] #cre,#commercialrealestate [33] #retail,#cre [33] #cre,#crei [31] #office,#multitenantoffice [28] commercial,estate [26] globestcom,#cre [25] #retail,#streetretail [21] #land,#otherland [20] #cre,#finance Top Word Pairs in Tweet in G3:
[44] #cre,#commercialrealestate [13] rick,peltz [12] #cre,#crm [11] commercial,estate [11] ahead,#cre [11] #cre,educators [11] educators,cornell [11] cornell,ohiostate [11] ohiostate,unc [11] unc,join Top Word Pairs in Tweet in G4:
[80] #cre,#highdesert [77] #land,#investments [75] #highdesert,#inlandempire [72] #investments,#development [67] #realestate,#land [66] #development,#industrial [64] #cre,#commercialrealestate [60] #inlandempire,#realestate [52] info,#cre [48] #cre,#naisullivangroup Top Word Pairs in Tweet in G5:
[42] #crecanada,#realestate [35] #cre,#crecanada [24] #realestate,#crecanada [16] #cre,#realestate [15] details,#cre [15] commercial,estate [12] service,delivery [12] delivery,clients [12] avison,young [12] #crecanada,#cre Top Word Pairs in Tweet in G6:
[10] #softbank,backed [10] backed,#bayarea [10] #bayarea,#construction [10] #construction,startup [10] startup,#katerra [10] #katerra,shutting [10] shutting,down [10] down,happen [10] happen,massive [8] massive,#norcal Top Word Pairs in Tweet in G7:
[25] coworking,europe [23] #coworking,#flexibleworkspace [22] #cre,#realestate [21] subscribe,coworking [19] #realestate,#cre [14] learn,more [12] gt,gt [11] #coworking,#cre [11] europe,youtube [11] youtube,channel Top Word Pairs in Tweet in G8:
[17] check,story [16] iaarchitects,ia [14] ia,co [14] co,ceo [14] ceo,president [14] president,david [14] david,bourke [14] bourke,guymessickaia [14] guymessickaia,neil [14] neil,schneider Top Word Pairs in Tweet in G9:
[128] #cre,#tenanttips [94] commercial,estate [79] #office,#warehouse [68] #tenanttips,#corporaterealestate [64] #cre,#office [59] #proptech,#cre [56] #cre,#property [55] #property,#developer [55] #developer,#realestate [55] #realestate,#propertyinvestment Top Word Pairs in Tweet in G10:
[9] gt,gt [8] #cre,#commercialrealestate [7] manhattan,cre [7] cre,industry [7] industry,news [7] news,gt [5] cre,success [5] success,podcast [5] #technology,#internetofthings [5] #internetofthings,#ai Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: