The graph represents a network of 2,835 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, 03 December 2020 at 18:14 UTC.
The requested start date was Thursday, 03 December 2020 at 01:01 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 12-day, 11-hour, 58-minute period from Friday, 20 November 2020 at 13:01 UTC to Thursday, 03 December 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 : 2835
Unique Edges : 2318
Edges With Duplicates : 7896
Total Edges : 10214
Number of Edge Types : 5
Mentions : 2369
Tweet : 4620
Retweet : 1258
MentionsInRetweet : 1711
Replies to : 256
Self-Loops : 4646
Reciprocated Vertex Pair Ratio : 0.0494773519163763
Reciprocated Edge Ratio : 0.0942895086321381
Connected Components : 806
Single-Vertex Connected Components : 543
Maximum Vertices in a Connected Component : 1506
Maximum Edges in a Connected Component : 7139
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.423772
Graph Density : 0.000374888448282944
Modularity : 0.305387
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,835 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, 03 December 2020 at 18:14 UTC.
The requested start date was Thursday, 03 December 2020 at 01:01 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 12-day, 11-hour, 58-minute period from Friday, 20 November 2020 at 13:01 UTC to Thursday, 03 December 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:
[509] commercial,estate [377] #cre,#commercialrealestate [335] #cre,#office [199] office,space [182] #cre,#tenanttips [178] #cre,#realestate [177] gt,gt [165] covid,19 [153] #realestate,#cre [142] #covid,19 Top Word Pairs in Tweet in G1:
[119] commercial,estate [81] #cre,#commercialrealestate [50] q3,2020 [46] #property,#rents [46] #rents,#investments [45] #commercialrealestate,#cre [42] #cre,#realestate [42] estate,market [40] national,#cre [36] #offices,#cre Top Word Pairs in Tweet in G2:
[255] #cre,#office [155] commercial,estate [115] space,#cre [108] office,space [99] #cre,#tenanttips [87] #cre,#commercialrealestate [74] lease,#cre [69] #warehouse,#tenanttips [66] subscribe,blog [61] office,lease Top Word Pairs in Tweet in G3:
[56] #florida,#cre [48] #office,#multitenantoffice [42] #land,#otherland [25] #ohio,#cre [25] #industrialtransportation,#warehouse [23] #california,#cre [22] #georgia,#cre [22] welcome,tbl [22] tbl,#cre [22] #cre,member Top Word Pairs in Tweet in G4:
[36] #avisonyoung,#cre [33] #realestate,#cre [29] 2021,forecast [27] learn,more [27] #cre,#realestate [26] more,#cre [21] avisonyoung,#icymi [20] issues,potential [20] potential,profoundly [20] year,ahead Top Word Pairs in Tweet in G5:
[60] #cre,#commercialrealestate [34] industry,#cre [27] commercial,estate [25] today,#mustreads [25] #mustreads,around [25] around,#commercialrealestate [25] #commercialrealestate,industry [14] covid,19 [14] podcast,richardjbarkham [14] richardjbarkham,cbre Top Word Pairs in Tweet in G6:
[19] #cre,#commercialrealestate [13] #rebo,rebusiness [12] #wreb,#rebo [10] #westerncre,#wreb [8] forest,hills [7] #commercialrealestate,#multifamilycre [7] commercial,estate [6] berkadia,bakerbotts [6] conversations,suite [6] energy,policy Top Word Pairs in Tweet in G7:
[96] #cre,gt [96] gt,gt [79] chigrl,#cre [66] gt,percentage [66] percentage,workers [66] workers,returning [66] returning,office [66] office,soberlook [16] #nyc,#cre [16] gt,collateral Top Word Pairs in Tweet in G8:
[25] #cre,#retailnews [21] #retailnews,#retail [20] #retail,#retailoklahoma [19] catylistcre,#cpixcre [19] #cpixcre,#cre [18] coworking,europe [17] #cre,#commercialrealestate [16] europe,2020 [16] 2020,virtual [16] virtual,conference Top Word Pairs in Tweet in G9:
[33] gt,gt [10] gt,#cretech [9] learn,more [8] read,more [8] more,gt [7] december,15th [7] virtual,demo [7] demo,day [7] #cretech,#cre [7] re,connect Top Word Pairs in Tweet in G10:
[12] imn_absgroup's,#abseast [11] #creditratings,#nextgencreditratings [9] begraham43,crowdcomfort [8] #abs,#cre [8] mobile,first [8] first,facilities [8] facilities,management [8] management,eric [8] eric,graham [8] graham,begraham43 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: