The graph represents a network of 2,266 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, 02 January 2020 at 04:10 UTC.
The requested start date was Thursday, 02 January 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 9-day, 0-hour, 4-minute period from Monday, 23 December 2019 at 14:56 UTC to Wednesday, 01 January 2020 at 15:01 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 : 2266
Unique Edges : 2530
Edges With Duplicates : 3697
Total Edges : 6227
Number of Edge Types : 4
Tweet : 3027
Mentions : 1639
MentionsInRetweet : 1424
Replies to : 137
Self-Loops : 3027
Reciprocated Vertex Pair Ratio : 0.0319754708716601
Reciprocated Edge Ratio : 0.0619694397283531
Connected Components : 604
Single-Vertex Connected Components : 359
Maximum Vertices in a Connected Component : 1004
Maximum Edges in a Connected Component : 4312
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.345494
Graph Density : 0.000459036452092454
Modularity : 0.391495
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 2,266 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, 02 January 2020 at 04:10 UTC.
The requested start date was Thursday, 02 January 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 9-day, 0-hour, 4-minute period from Monday, 23 December 2019 at 14:56 UTC to Wednesday, 01 January 2020 at 15:01 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:
[406] commercial,estate [235] #cre,#realestate [188] #cre,#commercialrealestate [173] #cre,#office [162] #cre,#tenanttips [127] office,space [124] #realestate,#cre [114] daily,thanks [113] lease,#cre [91] naibg,refuses Top Word Pairs in Tweet in G1:
[57] commercial,estate [25] #cre,#realestate [22] #cre,#commercialrealestate [20] #commercialrealestate,#cre [20] happy,year [20] info,#cre [19] goo,gl [18] #100,#euros [18] credit,score [16] merry,christmas Top Word Pairs in Tweet in G2:
[56] #retail,#cre [49] trdny,#cre [36] need,#2019recap [36] #2019recap,one [36] one,top [34] gt,gt [19] commercial,estate [19] #cre,#commercialrealestate [15] #cre,#realestate [15] look,back Top Word Pairs in Tweet in G3:
[236] commercial,estate [159] #cre,#tenanttips [158] #cre,#office [108] lease,#cre [91] office,space [75] commercial,lease [71] #cre,#tenantrep [71] estate,#cre [69] know,#cre [67] space,#cre Top Word Pairs in Tweet in G4:
[91] naibg,refuses [70] #cre,#creatl [70] #creatl,#atlanta [60] naibg,destroying [60] destroying,sprayberry [60] sprayberry,community [59] cobbcountygovt,#cre [44] refuses,deal [44] property,cobb [44] cobb,county Top Word Pairs in Tweet in G5:
[51] webinar,nextgen [51] nextgen,smart [51] smart,#building [51] #building,showcase [51] showcase,#iot [51] #iot,#ai [51] #ai,beyond [51] beyond,14 [51] 14,12pm [44] 12pm,realcommtweet Top Word Pairs in Tweet in G6:
[24] rounding,top [24] top,2019 [24] 2019,stories [23] #cre,#commercialrealestate [15] #cre,#cranewatch [14] waltdisneyco,bought [14] bought,more [14] more,land [14] land,near [14] near,waltdisneyworld Top Word Pairs in Tweet in G7:
[12] #nyrej,#cre [11] #cre,#commercialrealestate [10] #cre,#office [9] planning,big [9] big,year [9] year,2020 [9] 2020,miss [9] miss,comprehensive [9] comprehensive,market [9] market,reports Top Word Pairs in Tweet in G8:
[29] #cre,#commercialrealestate [7] #retail,#cre [6] commercial,estate [6] #cre,#realestate [5] #baltimore's,luxury [5] luxury,residential [5] residential,boom [5] boom,continued [5] continued,last [5] last,year Top Word Pairs in Tweet in G9:
[31] #cre,#realestate [11] #nerej,#cre [9] opportunity,zone [8] #tbl,#cre [8] #cre,#retail [7] ergoinfo,#cre [6] commercial,estate [6] daily,thanks [6] news,thanks [5] year,round Top Word Pairs in Tweet in G10:
[19] commercial,estate [15] office,space [13] daily,thanks [12] wcre,complete [12] complete,resource [12] resource,commercial [12] estate,needs [12] needs,explore [12] explore,today's [11] #cre,#realestate Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: