The graph represents a network of 4,977 Twitter users whose tweets in the requested range contained "wework", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 24 November 2019 at 02:40 UTC.
The requested start date was Sunday, 24 November 2019 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 1-day, 5-hour, 25-minute period from Thursday, 21 November 2019 at 11:07 UTC to Friday, 22 November 2019 at 16:33 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 : 4977
Unique Edges : 5387
Edges With Duplicates : 991
Total Edges : 6378
Number of Edge Types : 3
Mentions : 4693
Tweet : 1451
Replies to : 234
Self-Loops : 1451
Reciprocated Vertex Pair Ratio : 0.00950226244343891
Reciprocated Edge Ratio : 0.0188256387270282
Connected Components : 1266
Single-Vertex Connected Components : 888
Maximum Vertices in a Connected Component : 2664
Maximum Edges in a Connected Component : 3932
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.733558
Graph Density : 0.000180169616247601
Modularity : 0.734514
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,977 Twitter users whose tweets in the requested range contained "wework", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 24 November 2019 at 02:40 UTC.
The requested start date was Sunday, 24 November 2019 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 1-day, 5-hour, 25-minute period from Thursday, 21 November 2019 at 11:07 UTC to Friday, 22 November 2019 at 16:33 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 : wework
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:
[1595] 400,employees [1187] laying,400 [1153] wework,laying [932] golden,parachute [931] billion,golden [901] walks,away [899] founder,walks [897] employees,founder [897] away,massive [897] massive,billion Top Word Pairs in Tweet in G1:
[893] billion,golden [892] golden,parachute [891] wework,laying [891] laying,400 [891] 400,employees [891] employees,founder [891] founder,walks [891] walks,away [891] away,massive [891] massive,billion Top Word Pairs in Tweet in G2:
[174] 400,employees [64] lays,400 [63] wework,lays [49] lay,400 [46] wework,lay [43] laying,400 [37] employees,globally [31] 400,jobs [31] wework,begins [29] begins,laying Top Word Pairs in Tweet in G3:
[27] see,wework [27] wework,layoffs [26] sorry,see [26] layoffs,starting [26] starting,those [26] those,000 [26] 000,affected [26] affected,especially [24] please,reach [23] especially,london Top Word Pairs in Tweet in G4:
[138] 400,employees [92] employees,globally [91] lay,400 [89] wework,lay [87] breaking,wework [86] cnbcnow,breaking [46] adam,neumann [43] wework,laying [43] laying,400 [43] neumann,made Top Word Pairs in Tweet in G5:
[102] ｍｕｆｇ,wework関連でソフトバンクｇへの融資断る公算 [100] bloombergjapan,ｍｕｆｇ [100] wework関連でソフトバンクｇへの融資断る公算,ｍｕｆｇは [100] ｍｕｆｇは,米wework救済パッケージのためのソフトバンクgへの新規融資を断る公算が大きいと [100] 米wework救済パッケージのためのソフトバンクgへの新規融資を断る公算が大きいと,英紙ｆｔが報じた [46] 当然だろう,ここで追い貸しすると兆単位の不良債権になる [46] ここで追い貸しすると兆単位の不良債権になる,sbがつぶれるよりweworkをつぶしたほうがまし [45] ikedanob,当然だろう [28] #ソフトバンク,資産14兆円 [28] 資産14兆円,負債17兆円で Top Word Pairs in Tweet in G6:
[140] صندوق,الإستثمارات [140] الإستثمارات,العامة [140] العامة,مع [140] مع,سوفت [140] سوفت,بنك [140] بنك,اليابانية [139] الفيديو,الأخير [139] الأخير,لـ [139] لـ,#أشتي_أهج [139] #أشتي_أهج,ليس Top Word Pairs in Tweet in G7:
[118] 400,employees [117] wework,laying [117] laying,400 [88] breaking,wework [87] nbcnews,breaking [27] nbcnews,wework [5] agreements,contain [5] contain,phone [5] phone,numbers [5] numbers,addresses Top Word Pairs in Tweet in G8:
[24] wework,cutting [24] cutting,400 [24] 400,jobs [23] jobs,globally [23] don,bring [23] bring,bad [23] bad,news [23] news,cult [23] cult,leader [23] adam,neumann Top Word Pairs in Tweet in G9:
[97] #dpiff,#dpiff2020 [80] #dpiff2020,#lionsgoldawards [77] #harshadchopda,#dpiff [75] #lionsgoldawards,#lionsgoldawards2020 [65] #lionsgoldawards2020,lionsgoldawards [36] lionsgoldawards,dpiff_official [29] wework,dpiff_official [26] dpiff_official,abhialmish [25] abhialmish,lionrajumanwani [25] lionrajumanwani,wework Top Word Pairs in Tweet in G10:
[29] breaking,wework [29] wework,confirms [29] confirms,cutting [29] cutting,400 [29] 400,jobs [29] jobs,meetings [29] meetings,employees [29] employees,impacted [29] impacted,job [29] job,cuts Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: