The graph represents a network of 1,024 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 06 March 2022 at 02:38 UTC.
The requested start date was Sunday, 06 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 2-day, 6-hour, 24-minute period from Wednesday, 02 March 2022 at 03:58 UTC to Friday, 04 March 2022 at 10:22 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 : 1024
Unique Edges : 1854
Edges With Duplicates : 17983
Total Edges : 19837
Number of Edge Types : 5
Retweet : 6805
MentionsInRetweet : 9536
Mentions : 3302
Replies to : 90
Tweet : 104
Self-Loops : 643
Reciprocated Vertex Pair Ratio : 0.0388650453028135
Reciprocated Edge Ratio : 0.0748221253155841
Connected Components : 25
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 983
Maximum Edges in a Connected Component : 19790
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.255116
Graph Density : 0.00415922073558162
Modularity : 0.152413
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,024 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 06 March 2022 at 02:38 UTC.
The requested start date was Sunday, 06 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 2-day, 6-hour, 24-minute period from Wednesday, 02 March 2022 at 03:58 UTC to Friday, 04 March 2022 at 10:22 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 : #FinServ
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:
[3468] #iot,#iiot [3358] #javascript,#reactjs [3127] #reactjs,#wordpress [2778] #wordpress,#security [2399] #security,#defi [2364] #pytorch,#javascript [2237] #iiot,#pytorch [2000] #women,#ehealth [1999] #ces2023,#finserv [1987] #finserv,#fashiontech Top Word Pairs in Tweet in G1:
[154] #fintech,#finserv [123] #women,#ehealth [123] #ces2023,#finserv [122] #datascientist,#cloud [122] #ehealth,#ces2023 [121] #cx,#women [121] #finserv,#fashiontech [120] #mwc22,#cx [113] #fashiontech,#insur [103] #finserv,#marketing Top Word Pairs in Tweet in G2:
[3344] #iot,#iiot [3227] #javascript,#reactjs [3002] #reactjs,#wordpress [2665] #wordpress,#security [2304] #pytorch,#javascript [2302] #security,#defi [2138] #iiot,#pytorch [1840] #python,#iot [1784] #ai,#iot [1739] #python,#ai Top Word Pairs in Tweet in G3:
[299] #women,#ehealth [299] #ces2023,#finserv [295] #ehealth,#ces2023 [294] #datascientist,#cloud [293] #finserv,#fashiontech [292] #cx,#women [286] #mwc22,#cx [274] #fashiontech,#insur [198] #digital,#technology [191] #investing,#digital Top Word Pairs in Tweet in G4:
[1308] #women,#ehealth [1307] #ces2023,#finserv [1306] #finserv,#fashiontech [1284] #ehealth,#ces2023 [1278] #datascientist,#cloud [1268] #cx,#women [1248] #mwc22,#cx [904] #cloud,#digital [903] #digital,#mwc22 [642] #fashiontech,#insur Top Word Pairs in Tweet in G5:
[5] top,top [5] #fintech,#finserv [3] venture,capital [3] capital,top [3] top,#vc [3] #vc,startup [3] startup,investment [3] investment,stories [3] stories,world [3] world,#fintech Top Word Pairs in Tweet in G6:
[2] #fintech,#finserv Top Word Pairs in Tweet in G7:
[7] autonomous,finance [7] finance,claims [7] claims,automate [7] automate,investment [7] investment,management [7] management,strategies [7] strategies,making [7] making,independent [7] independent,unattended [7] unattended,choices Top Word Pairs in Tweet in G8:
[4] financial,institutions [4] institutions,state [4] state,improving [4] improving,customer [4] customer,experience [4] experience,top [4] top,corporate [4] corporate,priority [4] priority,increasing [3] grausafl,financial Top Word Pairs in Tweet in G9:
[4] enricomolinari,itsmuzza2004 [2] itsmuzza2004,enilev [2] enilev,enricomolinari [2] itsmuzza2004,muscatalystnews [2] muscatalystnews,joana_ut [2] joana_ut,fabriziobustama [2] fabriziobustama,har Top Word Pairs in Tweet in G10:
[3] piuttosto,vederle [3] vederle,come [3] come,competitori [3] competitori,istituzioni [3] istituzioni,finanziarie [3] finanziarie,dovrebbero [3] dovrebbero,abbracciare [3] abbracciare,fintech [3] fintech,perché [2] stivaledigitale,piuttosto Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 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: