The graph represents a network of 386 Twitter users whose tweets in the requested range contained "traveltech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 03 February 2022 at 03:14 UTC.
The requested start date was Thursday, 03 February 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, 0-hour, 6-minute period from Thursday, 27 January 2022 at 20:28 UTC to Wednesday, 02 February 2022 at 20:35 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 : 386
Unique Edges : 418
Edges With Duplicates : 13855
Total Edges : 14273
Number of Edge Types : 5
Retweet : 5973
MentionsInRetweet : 4985
Mentions : 3238
Tweet : 59
Replies to : 18
Self-Loops : 1477
Reciprocated Vertex Pair Ratio : 0.0379362670713202
Reciprocated Edge Ratio : 0.0730994152046784
Connected Components : 52
Single-Vertex Connected Components : 24
Maximum Vertices in a Connected Component : 243
Maximum Edges in a Connected Component : 14028
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.497947
Graph Density : 0.00460265123477559
Modularity : 0.045923
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 386 Twitter users whose tweets in the requested range contained "traveltech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 03 February 2022 at 03:14 UTC.
The requested start date was Thursday, 03 February 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, 0-hour, 6-minute period from Thursday, 27 January 2022 at 20:28 UTC to Wednesday, 02 February 2022 at 20:35 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 : traveltech
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:
[7190] #women,#ehealth [7189] #cx,#women [7099] #ces2023,#finserv [7072] #finserv,#fashiontech [6845] #ehealth,#data [6845] #data,#ces2023 [6820] #fashiontech,#insurtech [6534] #digital,#cx [6319] #datascientist,#digital [5193] chidambara09,#datascientist Top Word Pairs in Tweet in G1:
[7174] #women,#ehealth [7173] #cx,#women [7083] #ces2023,#finserv [7056] #finserv,#fashiontech [6829] #ehealth,#data [6829] #data,#ces2023 [6804] #fashiontech,#insurtech [6519] #digital,#cx [6304] #datascientist,#digital [5177] chidambara09,#datascientist Top Word Pairs in Tweet in G2:
[16] curieuxexplorer,nicochan33 [16] nicochan33,frronconi [16] frronconi,mvollmer1 [16] mvollmer1,ashoknellikar [16] ashoknellikar,labordeolivier [16] labordeolivier,shi4tech [16] shi4tech,kanezadiane [16] kanezadiane,gvalan [15] glengilmore,curieuxexplorer [15] gvalan,jeroenba Top Word Pairs in Tweet in G3:
[4] madrid,convierte [4] convierte,día [4] día,capital [4] capital,traveltech [4] traveltech,gracias [4] gracias,top [4] top,seeds [4] seeds,lab [3] lab,travel [2] find,more Top Word Pairs in Tweet in G4:
[13] looking,startups [13] startups,over [13] over,world [13] world,especially [13] especially,africa [13] africa,looking [13] looking,anything [12] mr_adesal,looking [2] working,something Top Word Pairs in Tweet in G5:
[9] travel,industry [4] ocr,technology [3] settlement,engine [3] engine,global [3] global,travel [3] industry,saas [3] saas,fintech [3] fintech,launched [3] launched,uk [3] uk,october Top Word Pairs in Tweet in G6:
[6] part,pilot [6] pilot,project [6] project,traveltechscot [6] traveltechscot,offering [6] offering,smes [6] smes,hospitality [6] hospitality,sector [6] sector,data [6] data,analytics [6] analytics,support Top Word Pairs in Tweet in G7:
[15] chidambara09,#datascientist [15] #cx,#women [15] #women,#ehealth [15] #ehealth,#data [15] #data,#ces2023 [15] #ces2023,#finserv [15] #finserv,#fashiontech [15] #fashiontech,#insurtech [15] #insurtech,#big [14] #datascientist,#digital Top Word Pairs in Tweet in G8:
[3] travelport,brings [3] brings,traveler [3] traveler,self [3] self,service [3] service,unified [3] unified,platform [3] platform,travelport [3] travelport,foxworldtravel [3] foxworldtravel,cb_travel [2] safe,ready Top Word Pairs in Tweet in G9:
[2] conversational,bots [2] bots,#cx [2] #cx,travel [2] travel,hospitality [2] hospitality,liveperson [2] liveperson,nlxai [2] nlxai,htmagazine [2] htmagazine,reddoorzhq [2] reddoorzhq,amtrak [2] amtrak,verint Top Word Pairs in Tweet in G10:
[5] veut,être [5] être,mon [5] mon,associé [5] associé,l'épisode [5] l'épisode,manquer [5] manquer,c'est [5] c'est,ce [5] ce,soir [5] soir,retrouvez [5] retrouvez,stanislasgruau Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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: