The graph represents a network of 391 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, 17 February 2022 at 03:07 UTC.
The requested start date was Thursday, 17 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 4-day, 16-hour, 37-minute period from Saturday, 12 February 2022 at 05:26 UTC to Wednesday, 16 February 2022 at 22:04 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 : 391
Unique Edges : 240
Edges With Duplicates : 13394
Total Edges : 13634
Number of Edge Types : 5
Mentions : 3259
Retweet : 5800
MentionsInRetweet : 4380
Tweet : 191
Replies to : 4
Self-Loops : 1766
Reciprocated Vertex Pair Ratio : 0.0425963488843813
Reciprocated Edge Ratio : 0.0817120622568093
Connected Components : 43
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 279
Maximum Edges in a Connected Component : 13437
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.877157
Graph Density : 0.00337071283362843
Modularity : 0.036329
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 391 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, 17 February 2022 at 03:07 UTC.
The requested start date was Thursday, 17 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 4-day, 16-hour, 37-minute period from Saturday, 12 February 2022 at 05:26 UTC to Wednesday, 16 February 2022 at 22:04 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:
[7391] #cx,#women [7391] #women,#ehealth [7377] #ces2023,#finserv [7313] #finserv,#fashiontech [7295] #datascientist,#digital [7075] #ehealth,#data [7075] #data,#ces2023 [6879] #digital,#cx [6480] #fashiontech,#insurtech [5170] chidambara09,#datascientist Top Word Pairs in Tweet in G1:
[7211] #cx,#women [7211] #women,#ehealth [7197] #ces2023,#finserv [7133] #finserv,#fashiontech [7118] #datascientist,#digital [6907] #ehealth,#data [6907] #data,#ces2023 [6709] #digital,#cx [6320] #fashiontech,#insurtech [5003] chidambara09,#datascientist Top Word Pairs in Tweet in G2:
[39] wef,enricomolinari [34] ty,wef [29] enricomolinari,#ai [29] #ai,#smartcities [29] #cx,#women [29] #women,#ehealth [29] #ehealth,#data [29] #data,#ces2023 [29] #ces2023,#finserv [29] #finserv,#fashiontech Top Word Pairs in Tweet in G3:
[2] learn,more [2] more,multi [2] multi,year [2] year,partnership [2] partnership,see [2] see,atpi [2] atpi,add [2] add,amadeus [2] amadeus,selling [2] selling,platform Top Word Pairs in Tweet in G4:
[5] #startups,climatetrade [5] climatetrade,arvision_es [5] arvision_es,playgoxp [5] playgoxp,guruwalk [5] guruwalk,boat_jump [5] boat_jump,howlanders_es [5] howlanders_es,growproexp [5] growproexp,ofrecen [4] startup_vlc,#startups [4] ofrecen,solu Top Word Pairs in Tweet in G5:
[11] viu,naturalesa [11] naturalesa,delta [11] delta,l'ebre [11] l'ebre,sense [11] sense,aglomeracions [11] aglomeracions,l'estil [11] l'estil,#slow [11] #slow,descansar [11] descansar,hotelflamingo [11] hotelflamingo,tot Top Word Pairs in Tweet in G6:
[2] gozayaan,bangladesh [2] gozayaan,first [2] first,bangladeshi [2] bangladeshi,travel [2] travel,tech [2] tech,startup [2] startup,acquire [2] acquire,company [2] company,beyond [2] beyond,border Top Word Pairs in Tweet in G7:
[151] #cx,#women [151] #women,#ehealth [151] #ces2023,#finserv [151] #finserv,#fashiontech [149] #datascientist,#digital [142] #digital,#cx [140] chidambara09,#datascientist [139] #ehealth,#data [139] #data,#ces2023 [133] #fashiontech,#insurtech Top Word Pairs in Tweet in G8:
[4] more,day [4] day,sign [4] sign,btn's [4] btn's,next [4] next,know [4] know,webinar [4] webinar,mastering [4] mastering,agile [4] agile,approach [4] approach,travel Top Word Pairs in Tweet in G9:
[3] tenemos,nueva [3] nueva,madrid [3] madrid,lugfy_es [3] lugfy_es,traveltech [3] traveltech,origen [3] origen,bilbaíno [3] bilbaíno,busca [3] busca,impulsar [3] impulsar,gestión [2] spanishstartup_,tenemos Top Word Pairs in Tweet in G10:
[3] wavemaker,backed [3] backed,gozayaan [3] gozayaan,buys [3] buys,traveltech [3] traveltech,startup [3] startup,#startup [3] #startup,#technology [2] #bangladesh,#pakistan [2] #pakistan,#startup [2] #startup,bangladesh Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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: