The graph represents a network of 3,730 Twitter users whose tweets in the requested range contained "#ip", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 11 December 2019 at 12:33 UTC.
The requested start date was Wednesday, 11 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 12-day, 21-hour, 35-minute period from Thursday, 28 November 2019 at 03:22 UTC to Wednesday, 11 December 2019 at 00:58 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 : 3730
Unique Edges : 3857
Edges With Duplicates : 2354
Total Edges : 6211
Number of Edge Types : 3
Mentions : 3977
Tweet : 2118
Replies to : 116
Self-Loops : 2118
Reciprocated Vertex Pair Ratio : 0.0317229336437718
Reciprocated Edge Ratio : 0.0614950634696756
Connected Components : 895
Single-Vertex Connected Components : 468
Maximum Vertices in a Connected Component : 790
Maximum Edges in a Connected Component : 1084
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.030019
Graph Density : 0.000254867831797296
Modularity : 0.596042
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 3,730 Twitter users whose tweets in the requested range contained "#ip", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 11 December 2019 at 12:33 UTC.
The requested start date was Wednesday, 11 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 12-day, 21-hour, 35-minute period from Thursday, 28 November 2019 at 03:22 UTC to Wednesday, 11 December 2019 at 00:58 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 : #ip
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:
[786] chinese,theft [786] theft,american [786] american,#ip [786] #ip,cost [786] cost,billions [786] billions,#china [786] #china,targets [786] targets,higher [786] higher,education [786] education,institutions Top Word Pairs in Tweet in G1:
[786] chinese,theft [786] theft,american [786] american,#ip [786] #ip,cost [786] cost,billions [786] billions,#china [786] #china,targets [786] targets,higher [786] higher,education [786] education,institutions Top Word Pairs in Tweet in G2:
[48] e3,81 [30] intellectual,property [28] e3,83 [17] e3,82 [14] 3a,2f [14] 2f,co [14] 2f1910,2fip [14] 2fip,mania2 [14] mania2,2f [14] 2f,#ip Top Word Pairs in Tweet in G3:
[51] #veracruz,clasificación [51] clasificación,tarifas [51] tarifas,eléctricas [51] eléctricas,hacía [51] hacía,#cfe [51] #cfe,corresponde [51] corresponde,#cre [42] #cre,tarifas [40] dicesmx,#veracruz [35] época,austeridad Top Word Pairs in Tweet in G4:
[21] intellectual,property [8] #business,#ip [8] #ip,check [8] check,free [8] free,assessment [8] assessment,tool [8] tool,receive [8] receive,report [8] report,recommendations [7] the_ipo,#business Top Word Pairs in Tweet in G5:
[179] #ip,#law [12] #aipla,#ip [12] #ip,#news [12] #news,#law [11] #ip,#value [11] #value,article [11] article,available [11] intellectual,property [10] #law,#uspto [9] #ip,#patents Top Word Pairs in Tweet in G6:
[40] #microsoft,#training [39] #training,#office [33] #spoto,#microsoft [28] #office,#test4u [18] #test4u,#inbound [18] #inbound,#table [12] 30,506 [12] #table,#hubspot [12] #windows,#linux [11] today,more Top Word Pairs in Tweet in G7:
[6] ciievents,wipo [5] startupindia,minmsme [5] nn,prasad [5] prasad,assistant [4] ccamp,colleague [4] colleague,suresh [4] suresh,chandran [4] chandran,head [4] head,#ip [4] #ip,#techtransfer Top Word Pairs in Tweet in G8:
[62] 2nd,asia [62] asia,pacific [61] pacific,young [57] young,members [56] members,congress [51] congress,seoul [28] panel,2nd [11] speakers,sponsors [10] korean,#startups [8] third,panel Top Word Pairs in Tweet in G9:
[65] #sandikeytdengeçer,#abo [65] #abo,#eyt1999öncesihakkınıistiyor [65] #eyt1999öncesihakkınıistiyor,#eytehditdeğilgerçektir [63] #eytehditdeğilgerçektir,#ip [60] #ip,#eytşartliemekliliğehayir [49] #eytşartliemekliliğehayir,#eytbütçedeolmalı [49] #eytbütçedeolmalı,#chp [49] #chp,#yrp [49] #yrp,#türkiyeeytyisoruyor [49] #türkiyeeytyisoruyor,#akp Top Word Pairs in Tweet in G10:
[22] #ip,creation [18] #deeptech,#startups [18] #startups,india [18] india,breaking [18] breaking,thought [18] thought,barrier [18] barrier,build [18] build,breakthrough [18] breakthrough,innovations [18] innovations,#stpicoes Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: