The graph represents a network of 2,471 Twitter users whose tweets in the requested range contained "HRtech ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 August 2020 at 20:47 UTC.
The requested start date was Monday, 10 August 2020 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 12-day, 0-hour, 47-minute period from Tuesday, 28 July 2020 at 23:12 UTC to Monday, 10 August 2020 at 00:00 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 : 2471
Unique Edges : 2571
Edges With Duplicates : 11213
Total Edges : 13784
Number of Edge Types : 5
Mentions : 2578
Retweet : 3445
MentionsInRetweet : 4629
Replies to : 613
Tweet : 2519
Self-Loops : 2707
Reciprocated Vertex Pair Ratio : 0.0795795795795796
Reciprocated Edge Ratio : 0.147426981919332
Connected Components : 379
Single-Vertex Connected Components : 243
Maximum Vertices in a Connected Component : 1656
Maximum Edges in a Connected Component : 11645
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.406791
Graph Density : 0.000706822624222356
Modularity : 0.265061
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,471 Twitter users whose tweets in the requested range contained "HRtech ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 August 2020 at 20:47 UTC.
The requested start date was Monday, 10 August 2020 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 12-day, 0-hour, 47-minute period from Tuesday, 28 July 2020 at 23:12 UTC to Monday, 10 August 2020 at 00:00 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 : HRtech
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:
[735] ãƒ,ム[723] #it,#ites [722] #ites,#mfg [722] #mfg,#sme [699] #datalists,#it [681] #sme,#software [629] read,more [626] #software,#tech [609] #hrtech,#hr [555] #tech,#startups Top Word Pairs in Tweet in G1:
[85] #hr,#hrtech [72] work,break [68] hrhappyhour,work [67] people,analytics [62] thx4rt,fr [62] fr,hrcurator [56] mitchzenger,synctrics [53] hr,technology [46] break,trishmcfarlane [46] trishmcfarlane,steveboese Top Word Pairs in Tweet in G2:
[82] #thinkbigsundaywithmarsha,#hrtech [44] kind,words [44] words,short [44] short,easy [44] easy,speak [44] speak,echoes [44] echoes,truly [44] truly,endless [44] endless,mother [44] mother,teresa Top Word Pairs in Tweet in G3:
[704] #it,#ites [703] #ites,#mfg [703] #mfg,#sme [680] #datalists,#it [664] #sme,#software [611] #software,#tech [545] #tech,#startups [527] #startups,#erp [524] #hrtech,#hr [498] #erp,#iiot Top Word Pairs in Tweet in G4:
[28] #hrtech,#hr [24] #hr,#hrtech [22] ãƒ,ム[22] #hrtech,#recruiterhunt [12] goodmorning,everybody [12] curious,#hrtech [12] #hrtech,today [12] today,keep [12] keep,eye [12] eye,feed Top Word Pairs in Tweet in G5:
[550] read,more [412] more,#access [295] #access,#biometrics [233] #biometrics,#cybersec [211] #cybersec,#cybersecurity [211] #cybersecurity,#hrtech [211] #hrtech,#identity [209] #identity,#informationsecurity [208] #informationsecurity,#infosec [208] #infosec,#login Top Word Pairs in Tweet in G6:
[54] #sap,#successfactors [33] #successfactors,employee [33] employee,central [16] sap,successfactors [13] successfactors,questions [12] #successfactors,sap [11] questions,answered [10] central,#hrtech [10] lukemarson,#sap [10] answered,luke Top Word Pairs in Tweet in G7:
[10] #hxp,#hrtech [8] #shrm,#shrm21 [8] #shrm21,#hrtech [8] save,date [8] date,register [8] register,site [8] site,goes [8] goes,live [8] live,monday [8] monday,one Top Word Pairs in Tweet in G8:
[321] ãƒ,ム[44] šã,œã [39] æ,æ [32] ç,æ [30] æ,ç [30] ÿã,œã [30] šã,ÿã [29] œã,æ [29] ãƒ,トã [28] ッãƒ,ムTop Word Pairs in Tweet in G9:
[14] skill,visa [14] visa,education [14] education,passport [14] passport,pankajbansalpb [14] pankajbansalpb,#shrmedge20 [14] #shrmedge20,pramathsinha [14] pramathsinha,harappaed [14] harappaed,#upskill [13] peoplestrong,skill [13] #upskill,#lea Top Word Pairs in Tweet in G10:
[199] ãƒ,ム[44] ˆã,šã [34] hrtech_erika346,ˆã [30] šã,œã [29] šã,ˆã [27] ç,æ [22] šã,šã [21] æ,æ [20] ªã,šã [19] ãƒ,ッã Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: