The graph represents a network of 1,062 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, 20 August 2020 at 02:04 UTC.
The requested start date was Thursday, 20 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 13-day, 13-hour, 40-minute period from Thursday, 06 August 2020 at 03:22 UTC to Wednesday, 19 August 2020 at 17:03 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 : 1062
Unique Edges : 1489
Edges With Duplicates : 4440
Total Edges : 5929
Number of Edge Types : 5
Retweet : 1711
MentionsInRetweet : 3371
Mentions : 662
Tweet : 168
Replies to : 17
Self-Loops : 193
Reciprocated Vertex Pair Ratio : 0.0281224152191894
Reciprocated Edge Ratio : 0.0547063555913113
Connected Components : 92
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 805
Maximum Edges in a Connected Component : 5399
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.563876
Graph Density : 0.00220628302546544
Modularity : 0.257845
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,062 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, 20 August 2020 at 02:04 UTC.
The requested start date was Thursday, 20 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 13-day, 13-hour, 40-minute period from Thursday, 06 August 2020 at 03:22 UTC to Wednesday, 19 August 2020 at 17:03 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:
[246] ty,wef [227] ty,intengineering [223] wef,enricomolinari [215] intengineering,enricomolinari [195] #fintech,#finserv [169] ty,mashable [168] mashable,enricomolinari [160] #ai,#iot [150] #vr,#mr [145] enricomolinari,#smartcities Top Word Pairs in Tweet in G1:
[115] ty,intengineering [112] intengineering,enricomolinari [78] ty,mashable [78] mashable,enricomolinari [78] alvinfoo,enricomolinari [74] ty,alvinfoo [72] #fintech,#finserv [70] #vr,#mr [68] #ai,#iot [65] enricomolinari,#retailtech Top Word Pairs in Tweet in G2:
[109] ty,wef [94] ty,intengineering [92] wef,enricomolinari [89] #fintech,#finserv [87] intengineering,enricomolinari [81] ty,mashable [80] mashable,enricomolinari [75] enricomolinari,#smartcities [64] #ai,#iot [64] #vr,#mr Top Word Pairs in Tweet in G3:
[96] ty,wef [93] wef,enricomolinari [40] uniladtech,enricomolinari [39] enricomolinari,#traveltech [38] ty,uniladtech [34] 365,turbines [34] turbines,shore [34] shore,lake [34] lake,turkana [34] turkana,africa Top Word Pairs in Tweet in G4:
[13] launch,traveltechscot [11] travel,tech [11] see,launch [11] traveltech,scotland [10] cluster,organisation [9] #traveltech,scotland [9] today,support [8] cluster,group [8] group,build [8] network,travel Top Word Pairs in Tweet in G5:
[6] 旅行,traveltech [6] traveltech,トラベルテック [6] acomodeo,helps [6] helps,companies [6] companies,find [6] find,serviced [6] serviced,apartments [6] apartments,worldwide [6] worldwide,#travel [6] #travel,#traveltech Top Word Pairs in Tweet in G6:
[10] complete,retailing [7] recover,reinvent [7] prepare,future [5] missed,play [5] play,back [5] back,find [5] find,complete [5] retailing,strategy [5] strategy,improve [5] improve,customer Top Word Pairs in Tweet in G7:
[120] #startup,#traveltech [83] #traveltech,#socialnetworks [69] antibooking,#startup [37] #traveltech,#socialnetwork [30] future,travel [30] travel,market [30] #socialnetworks,#vc [30] #vc,#angelinvesting [30] #angelinvesting,#innovation [26] zatornb1,#startup Top Word Pairs in Tweet in G8:
[8] cwt,hotel [8] hotel,booking [8] booking,chatbot [8] chatbot,promised [8] promised,higher [8] higher,traveler [8] traveler,engagement [8] engagement,before [8] before,pandemic [8] pandemic,paused Top Word Pairs in Tweet in G9:
[5] pleased,announce [5] announce,launch [5] launch,compass [5] compass,online [5] online,tool [5] tool,support [5] support,recovery [5] recovery,hotelbeds' [5] hotelbeds',web [5] web,based Top Word Pairs in Tweet in G10:
[4] travel,platform [4] platform,omioglobal [4] raises,100 [4] 100,million [2] berlin,based [2] based,travel [2] omioglobal,raises [2] million,anniemusgrove [2] anniemusgrove,temasek [2] omio,raises Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: