The graph represents a network of 2,290 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, 27 February 2020 at 04:25 UTC.
The requested start date was Thursday, 27 February 2020 at 01:01 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, 20-minute period from Friday, 21 February 2020 at 16:40 UTC to Thursday, 27 February 2020 at 01:00 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 : 2290
Unique Edges : 2549
Edges With Duplicates : 3381
Total Edges : 5930
Number of Edge Types : 4
Mentions : 1332
Tweet : 3006
Replies to : 149
MentionsInRetweet : 1443
Self-Loops : 3006
Reciprocated Vertex Pair Ratio : 0.0466944059177069
Reciprocated Edge Ratio : 0.0892226148409894
Connected Components : 703
Single-Vertex Connected Components : 429
Maximum Vertices in a Connected Component : 947
Maximum Edges in a Connected Component : 3678
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.296264
Graph Density : 0.000431911877767412
Modularity : 0.406711
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 2,290 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, 27 February 2020 at 04:25 UTC.
The requested start date was Thursday, 27 February 2020 at 01:01 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, 20-minute period from Friday, 21 February 2020 at 16:40 UTC to Thursday, 27 February 2020 at 01:00 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:
[300] commercial,estate [160] #cre,#realestate [153] #cre,#office [126] #cre,#tenanttips [120] office,space [116] space,#cre [98] #cre,#commercialrealestate [97] naibg,refuses [65] #realestate,#cre [64] lease,#cre Top Word Pairs in Tweet in G1:
[35] commercial,estate [20] #cre,#commercialrealestate [17] #realestate,#cre [15] commercial,appraiser [14] #cre,#realestate [12] goo,gl [12] #okc,contact [12] milehighcre,#cre [10] oh,cleveland [10] cleveland,msa Top Word Pairs in Tweet in G2:
[43] #cre,#commercialrealestate [36] commercial,estate [31] dna,#cre [26] #land,#otherland [25] #florida,#cre [24] #cre,naisaig [23] #office,#multitenantoffice [23] #tennessee,#cre [20] #dnaofcre,survey [18] #illinois,#cre Top Word Pairs in Tweet in G3:
[48] cap,rates [25] rates,heading [25] heading,market [25] market,find [25] find,latest [25] latest,north [25] north,america [25] america,#capratesurvey [25] #capratesurvey,revealing [25] revealing,#cre Top Word Pairs in Tweet in G4:
[19] #cre,connectcre [11] #retail,#cre [10] #retail,sales [10] sales,continue [10] continue,growing [10] growing,concern [10] concern,#alberta [10] #alberta,declined [10] declined,november [10] november,compared Top Word Pairs in Tweet in G5:
[26] #capitalmarkets,#cre [10] jll,closes [9] office,building [9] #cre,#nkf [8] commercial,estate [8] #cre,industry [8] jllproperties,jll [8] nkf,norcal [7] take,15 [7] 15,min Top Word Pairs in Tweet in G6:
[150] commercial,estate [138] #cre,#office [123] #cre,#tenanttips [109] space,#cre [81] office,space [57] lease,#cre [53] #cre,#tenantrep [40] estate,#cre [38] commercial,lease [37] know,#cre Top Word Pairs in Tweet in G7:
[11] sf,available [9] #retail,#retailnews [8] #brickandmortar,#cre [7] more,info [7] international,corporate [7] corporate,park [6] north,first [6] phase,ii [6] located,intersection [6] office,space Top Word Pairs in Tweet in G8:
[9] commercial,estate [8] #cre,#reit [6] latest,commercial [6] estate,daily [6] daily,thanks [5] check,month's [5] month's,featured [5] featured,done [5] done,deal [5] read,more Top Word Pairs in Tweet in G9:
[6] latest,cambridge [6] cambridge,commercial [6] commercial,daily [6] daily,thanks [4] #cre,#retail [3] congratulations,krispykreme [3] krispykreme,upcoming [3] upcoming,opening [3] opening,second [3] second,location Top Word Pairs in Tweet in G10:
[6] more,attractive [6] suburban,office [6] latest,#cre [6] #cre,investment [6] investment,advisor [6] advisor,thanks [6] demand,design [6] design,services [6] services,increase [6] increase,building Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: