The graph represents a network of 1,628 Twitter users whose recent tweets contained "#CRE", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 17:57 UTC.
The tweets in the network were tweeted over the 503-day, 3-hour, 31-minute period from Thursday, 23 September 2021 at 21:28 UTC to Thursday, 09 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 1628
Unique Edges : 1195
Edges With Duplicates : 5412
Total Edges : 6607
Number of Edge Types : 9
Tweet : 3563
Retweet : 516
MentionsInRetweet : 675
Mentions : 1470
Replies to : 163
MentionsInReplyTo : 121
Quote : 62
MentionsInQuote : 29
MentionsInQuoteReply : 8
Self-Loops : 3785
Reciprocated Vertex Pair Ratio : 0.050834597875569
Reciprocated Edge Ratio : 0.0967509025270758
Connected Components : 557
Single-Vertex Connected Components : 393
Maximum Vertices in a Connected Component : 650
Maximum Edges in a Connected Component : 2234
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.277002
Graph Density : 0.000522886970336264
Modularity : 0.239538
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,628 Twitter users whose recent tweets contained "#CRE", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 17:57 UTC.
The tweets in the network were tweeted over the 503-day, 3-hour, 31-minute period from Thursday, 23 September 2021 at 21:28 UTC to Thursday, 09 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1729] upflow,volume [1716] upbit,korea [1716] volume,upbit [274] #cre,#creatl [272] #creatl,#atlanta [263] korea,#cre [241] 89,others [211] #cre,#commercialrealestate [200] naibg,refuses [195] korea,#btc Top Word Pairs in Tweet in G1:
[49] #cre,#commercialrealestate [42] #commercialrealestate,#cre [40] commercial,estate [30] national,#cre [24] learn,more [22] #cre,#naisullivangroup [21] #cre,#realestate [21] #cre,#retwit [20] #realestate,#cre [20] info,#cre Top Word Pairs in Tweet in G2:
[85] #cre,#commercialrealestate [37] commercial,estate [30] #cre,#realestate [24] daily,thanks [22] #crecanada,#realestate [19] #cre,#crecanada [18] #realestate,#cre [16] estate,daily [15] latest,thanks [14] commercial,property Top Word Pairs in Tweet in G3:
[46] #cre,member [46] welcome,tbl [46] tbl,#cre [30] #office,#multitenantoffice [21] #florida,#cre [21] expcommercial,#tblnewmember [18] commercial,estate [16] #cre,#commercialrealestate [15] #michigan,#cre [14] #retail,#freestandingbuilding Top Word Pairs in Tweet in G4:
[33] #cre,#retwit [23] #retwit,#cre [22] 500,sf [22] sf,walgreens [19] future,drugstores [19] drugstores,500 [19] walgreens,#retwit [18] teamherrold,future [17] trdny,#cre [6] commercial,estate Top Word Pairs in Tweet in G5:
[23] #cre,#njcre [23] #nj,#thedailybriefing [23] #newjerseyrealestate,#realestatenj [22] #newjersey,#nj [21] #thedailybriefing,#njcommercialrealestate [21] #news,#cre [19] #njcre,#renj [15] #commercialrealestate,#newjerseyrealestate [15] briefing,02 [13] #newjerseycommercialrealestate,#news Top Word Pairs in Tweet in G6:
[70] #tenanttips,#tenantrep [55] corporate,tenants [54] #tenanttips,#corporaterealestate [42] #tenantrep,#office [41] #tenantrep,#corporaterealestate [40] #cre,#office [34] #cre,#tenantrep [32] #tenantrep,#tenanttips [29] #cre,#warehouse [27] #office,#warehouse Top Word Pairs in Tweet in G7:
[8] one,go [8] let's,go [8] first,let's [8] time,big [8] go,same [8] same,time [8] big,boys [8] manhattan,office [8] go,first [8] boys,manhattan Top Word Pairs in Tweet in G8:
[24] #realestate,#cre [14] #cre,#retwit [10] commercial,estate [5] #cre,#mortgage [4] join,free [4] #cre,#office [4] stay,ahead [4] #cre,#nyc [3] #wfh,#rto [3] know,scale Top Word Pairs in Tweet in G9:
[29] 02,06 [29] 2023,02 [25] 00,utc [25] 06,00 [24] carryprotocol,deposit [24] deposit,2023 [24] utc,trade [24] cre,listed [24] listing,cre [24] #btcex,carryprotocol Top Word Pairs in Tweet in G10:
[6] #cre,#crei [5] #cre,#commercialrealestate [5] #crei,#commercialrealestate [4] #cre,#retwit [3] #care,#collaboration [3] safe,everyone [3] stay,safe [3] commercial,estate [3] #retwit,#sior [3] #cre,#tech 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 G7:
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: