The graph represents a network of 2,417 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, 23 June 2022 at 16:58 UTC.
The requested start date was Thursday, 23 June 2022 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, 58-minute period from Thursday, 09 June 2022 at 00:02 UTC to Thursday, 23 June 2022 at 00:01 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 : 2417
Unique Edges : 1681
Edges With Duplicates : 7411
Total Edges : 9092
Number of Edge Types : 5
Mentions : 2005
Tweet : 4190
MentionsInRetweet : 1442
Retweet : 1131
Replies to : 324
Self-Loops : 4241
Reciprocated Vertex Pair Ratio : 0.0404729422464757
Reciprocated Edge Ratio : 0.0777972027972028
Connected Components : 775
Single-Vertex Connected Components : 531
Maximum Vertices in a Connected Component : 981
Maximum Edges in a Connected Component : 5129
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.934243
Graph Density : 0.000391816246400359
Modularity : 0.271356
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,417 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, 23 June 2022 at 16:58 UTC.
The requested start date was Thursday, 23 June 2022 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, 58-minute period from Thursday, 09 June 2022 at 00:02 UTC to Thursday, 23 June 2022 at 00:01 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:
[387] #cre,#commercialrealestate [299] commercial,estate [172] #cre,#realestate [162] #cre,#creatl [161] #creatl,#atlanta [161] naibg,refuses [151] naibg,destroying [151] destroying,sprayberry [151] sprayberry,community [151] upflow,volume Top Word Pairs in Tweet in G1:
[89] commercial,estate [89] national,#cre [75] #cre,#commercialrealestate [45] #cre,#realestate [45] more,information [43] #commercialrealestate,#cre [32] learn,more [28] #cre,#retail [27] q1,2022 [25] #realestate,#cre Top Word Pairs in Tweet in G2:
[107] #cre,#commercialrealestate [100] #cre,#inlandempire [98] #inlandempire,#highdesert [87] #highdesert,#realestate [83] #realestate,#land [73] #land,#investment [69] #investment,#development [63] #development,#manufacturing [63] #manufacturing,#logistics [62] #logistics,#distribution Top Word Pairs in Tweet in G3:
[161] naibg,refuses [160] #cre,#creatl [160] #creatl,#atlanta [151] naibg,destroying [151] destroying,sprayberry [151] sprayberry,community [148] cobbcountygovt,#cre [82] community,maybe [82] refuses,deal [82] property,cobb Top Word Pairs in Tweet in G4:
[57] commercial,estate [30] #cre,#onlinecommercialmortgage [30] bridge,loan [29] goo,gl [28] credit,score [26] #cre,#commercialrealestate [24] estate,investors [23] #onlinecommercialmortgage,#cre [19] #cre,#realestate [18] high,leverage Top Word Pairs in Tweet in G5:
[75] ahí,hablan [75] hablan,iberdrola [75] iberdrola,pagar [75] pagar,nomás [75] nomás,#lamañanera [75] #lamañanera,#conferenciapresidente [75] #conferenciapresidente,#amlo [75] #amlo,#cre [75] #cre,#autoabasto [74] elgatopolitico_,ahí Top Word Pairs in Tweet in G6:
[74] #cre,#commercialrealestate [19] commercial,estate [15] york,city [15] wall,street [15] street,journal [11] construction,projects [10] commercial,observer [10] reports,wall [10] reit,balance [10] balance,sheets Top Word Pairs in Tweet in G7:
[73] #multifamily,#apartmentinvesting [61] #apartmentinvesting,#multifamilyinvesting [52] #multifamilyinvesting,#apartments [45] #apartments,#multifamilyrealestate [41] #multifamilysyndication,#apartmentsyndication [41] #apartmentsyndication,#cre [34] #multifamilyrealestate,#realestateinvesting [27] #realestateinvesting,#accreditedinvestors [27] #accreditedinvestors,#multifamilysyndication [22] thanks,including Top Word Pairs in Tweet in G8:
[34] #crecanada,#realestate [23] trdny,#cre [20] #cre,#crecanada [15] thebrokerlist,#cre [9] greater,toronto [9] toronto,area [8] #cre,#realestate [8] #cre,news [7] q1,2022 [7] #realestate,#logistics Top Word Pairs in Tweet in G9:
[12] #recession,#gfc2 [12] #cre,edition [11] #gfc2,#cre [11] edition,#commercialrealestate [10] #cre,#cmbs [9] #cre,direct [9] invariantpersp1,#recession [9] #commercialrealestate,#cmbs [9] #cmbs,#commercialproperty [9] #commercialproperty,#reit Top Word Pairs in Tweet in G10:
[13] water,sensors [13] sensors,save [13] save,water [13] water,money [13] money,check [13] check,introduction [13] introduction,sensor [13] sensor,industries [12] txgreenbuilding,water [12] industries,sensori Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: