The graph represents a network of 2,743 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, 21 January 2021 at 18:15 UTC.
The requested start date was Thursday, 21 January 2021 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 11-day, 22-hour, 20-minute period from Saturday, 09 January 2021 at 02:40 UTC to Thursday, 21 January 2021 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 : 2743
Unique Edges : 2187
Edges With Duplicates : 8153
Total Edges : 10340
Number of Edge Types : 5
Tweet : 4583
Retweet : 1448
MentionsInRetweet : 1962
Mentions : 2072
Replies to : 275
Self-Loops : 4624
Reciprocated Vertex Pair Ratio : 0.05859375
Reciprocated Edge Ratio : 0.11070110701107
Connected Components : 773
Single-Vertex Connected Components : 509
Maximum Vertices in a Connected Component : 1399
Maximum Edges in a Connected Component : 6913
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.136748
Graph Density : 0.000396340741887114
Modularity : 0.291966
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 2,743 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, 21 January 2021 at 18:15 UTC.
The requested start date was Thursday, 21 January 2021 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 11-day, 22-hour, 20-minute period from Saturday, 09 January 2021 at 02:40 UTC to Thursday, 21 January 2021 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:
[513] commercial,estate [320] #cre,#commercialrealestate [281] #cre,#tenanttips [239] #cre,#office [221] naibg,refuses [219] covid,19 [169] office,space [167] #covid,19 [133] #cre,#leasing [123] #office,#warehouse Top Word Pairs in Tweet in G1:
[97] commercial,estate [79] #cre,#commercialrealestate [39] info,#cre [31] #commercialrealestate,#cre [27] more,information [26] #cre,#realestate [26] #cre,#naisullivangroup [25] office,space [25] goo,gl [24] retail,space Top Word Pairs in Tweet in G2:
[55] #retail,#streetretail [47] #florida,#cre [47] #texas,#cre [38] #cre,engvest [36] #cre,#commercialrealestate [36] commercial,estate [34] #office,#multitenantoffice [33] engvest,#retail [26] office,market [25] #avisonyoung,#cre Top Word Pairs in Tweet in G3:
[269] #cre,#tenanttips [227] commercial,estate [206] #cre,#office [164] #covid,19 [126] #cre,#leasing [115] #office,#warehouse [102] covid,19 [101] commercial,lease [99] lease,#cre [93] office,space Top Word Pairs in Tweet in G4:
[31] cbre,loan [31] loan,flow [27] milehighcre,#cre [24] quick,accurate [24] accurate,rates [23] commercial,estate [22] 2021,store [22] store,economy [22] economy,#cre [22] #cre,edition Top Word Pairs in Tweet in G5:
[50] #cre,#commercialrealestate [42] covid,19 [23] #mustreads,around [21] today,#mustreads [16] around,#commercialrealestate [15] federal,covid [15] 19,relief [14] #commercialrealestate,industry [14] industry,#cre [12] sector,#cre Top Word Pairs in Tweet in G6:
[18] #cre,#crecanada [13] #crecanada,#realestate [9] #realestate,#crecanada [8] renx,daily [8] daily,newsletter [8] top,story [8] #cre,#realestate [8] commercial,estate [8] top,10 [8] colliers,colliers Top Word Pairs in Tweet in G7:
[7] read,more [6] square,foot [6] #nowavailable,#4q20 [6] #market,#report [4] recently,sold [4] million,sale [4] below,#cre [4] office,building [4] more,below [4] million,#cre Top Word Pairs in Tweet in G8:
[23] reality,effective [23] sparked,hopes [23] hopes,2021 [20] effective,covid [20] covid,19 [20] 19,vaccine [20] vaccine,sparked [20] 2021,speculation [20] speculation,recovery [20] recovery,signals Top Word Pairs in Tweet in G9:
[30] commercial,estate [30] estate,news [28] chicago,commercial [28] news,connectcre [24] round,january [24] 2021,irish [24] irish,property [24] property,market [24] market,news [22] #cre,#retailnews Top Word Pairs in Tweet in G10:
[15] #cre,#reit [10] video,#cre [9] #orlando,#localbusiness [9] #localbusiness,#businessnews [6] commercial,estate [5] central,florida [5] developer,tavistock [4] know,latest [4] latest,commercial [4] commercial,construction Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G9:
Top Tweeters in G10: