The graph represents a network of 8,341 Twitter users whose tweets in the requested range contained "market research", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 11 March 2022 at 12:52 UTC.
The requested start date was Friday, 11 March 2022 at 01:01 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 6-day, 3-hour, 55-minute period from Friday, 04 March 2022 at 14:54 UTC to Thursday, 10 March 2022 at 18:49 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 : 8341
Unique Edges : 5422
Edges With Duplicates : 7790
Total Edges : 13212
Number of Edge Types : 5
Replies to : 973
Mentions : 2133
Tweet : 3282
Retweet : 2944
MentionsInRetweet : 3880
Self-Loops : 3357
Reciprocated Vertex Pair Ratio : 0.0185753761129874
Reciprocated Edge Ratio : 0.0364732479276564
Connected Components : 2885
Single-Vertex Connected Components : 1421
Maximum Vertices in a Connected Component : 190
Maximum Edges in a Connected Component : 625
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.219688
Graph Density : 9.53798764129806E-05
Modularity : 0.563961
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,341 Twitter users whose tweets in the requested range contained "market research", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 11 March 2022 at 12:52 UTC.
The requested start date was Friday, 11 March 2022 at 01:01 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 6-day, 3-hour, 55-minute period from Friday, 04 March 2022 at 14:54 UTC to Thursday, 10 March 2022 at 18:49 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 : market research
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:
[2015] market,research [336] research,report [265] market,size [192] stock,market [153] predicted,reach [153] upcoming,sho [153] sho,astraprotocol [153] astraprotocol,astr [153] astr,fully [153] fully,decentralized Top Word Pairs in Tweet in G1:
[750] market,research [226] research,report [185] market,size [101] report,2022 [85] dukascopy,#forex [85] #forex,#fx [78] global,market [75] grand,view [75] view,research [74] market,report Top Word Pairs in Tweet in G2:
[149] keep,event [148] wts,sell [148] qyop,dm [117] jaehyun,smcu [117] smcu,smtown [116] sell,lfb [116] lfb,jaehyun [116] smtown,ver [116] ver,qyop [116] dm,good Top Word Pairs in Tweet in G3:
[153] upcoming,sho [153] sho,astraprotocol [153] astraprotocol,astr [153] astr,fully [153] fully,decentralized [153] decentralized,compliance [153] compliance,layer [153] layer,#defi [153] #defi,#defi [153] #defi,grew Top Word Pairs in Tweet in G4:
[152] energy,bills [152] bills,predicted [152] predicted,reach [152] reach,270 [152] 270,mth [152] mth,october [152] october,2022 [152] 2022,government [152] government,offering [152] offering,150 Top Word Pairs in Tweet in G5:
[75] stock,market [65] market,research [64] research,investing [64] investing,insights [64] insights,#stockstowatch [64] #stockstowatch,#stockmarket [64] #stockmarket,#investment [33] spectator,index [33] march,daily [33] daily,news Top Word Pairs in Tweet in G6:
[34] market,type [34] end,user [19] market,research [18] read,more [15] #battery,market [15] type,li [15] li,ion [15] ion,mh [15] mh,sla [15] sla,ultracapacitors Top Word Pairs in Tweet in G7:
[78] market,research [73] #batfleck,polling [73] polling,thing [73] thing,really [73] really,fan [73] fan,poll [73] poll,twitter [73] twitter,poll [73] poll,professional [73] professional,market Top Word Pairs in Tweet in G8:
[70] never,open [70] open,canada's [70] canada's,pipeline [70] pipeline,gulf [70] gulf,sell [70] sell,international [70] international,market [69] rpsagainsttrump,never [68] strawberryvotes,rpsagainsttrump [2] market,research Top Word Pairs in Tweet in G9:
[8] labor,market [3] research,shows [3] bioengineers,nih [3] nih,launch [3] launch,2022 [3] 2022,virtual [3] virtual,c3i [3] c3i,concept [3] concept,clinic [3] clinic,commercializing Top Word Pairs in Tweet in G10:
[15] arete,research [15] richard,kramer [10] outlook,big [10] cnbcpro,subscribers [9] big,tech [8] volatile,market [8] senior,analyst [8] analyst,arete [8] research,richard [8] kramer,discusses Top Replied-To in Entire Graph:
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Top Replied-To in G4:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: