The graph represents a network of 665 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 06 December 2022 at 06:31 UTC.
The requested start date was Tuesday, 06 December 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 13-day, 22-hour, 31-minute period from Tuesday, 22 November 2022 at 01:01 UTC to Monday, 05 December 2022 at 23:32 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 : 665
Unique Edges : 678
Edges With Duplicates : 988
Total Edges : 1666
Number of Edge Types : 5
Retweet : 309
MentionsInRetweet : 463
Tweet : 221
Mentions : 568
Replies to : 105
Self-Loops : 225
Reciprocated Vertex Pair Ratio : 0.0905882352941176
Reciprocated Edge Ratio : 0.166127292340885
Connected Components : 125
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 432
Maximum Edges in a Connected Component : 1356
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.330907
Graph Density : 0.00209937494338255
Modularity : 0.45467
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 665 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 06 December 2022 at 06:31 UTC.
The requested start date was Tuesday, 06 December 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 13-day, 22-hour, 31-minute period from Tuesday, 22 November 2022 at 01:01 UTC to Monday, 05 December 2022 at 23:32 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 : neo4j
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:
[34] data,science [30] attack,paths [30] produce,actionable [30] neo4j,produce [30] bloodhound,neo4j [30] list,attack [30] actionable,list [30] uses,sharphound [30] sharphound,bloodhound [30] paths,targeted Top Word Pairs in Tweet in G1:
[16] hmvprasanna,neo4j [16] neo4j,database [15] use,neo4j [15] graph,database [14] #education,#learning [14] architecture,#education [14] graph,data [14] database,architecture [14] top,reasons [14] reasons,use Top Word Pairs in Tweet in G2:
[8] examples,apache [8] algorithms,practical [8] practical,neo4j [8] practical,examples [8] graph,algorithms [8] apache,spark [8] spark,neo4j [6] neo4j,vs [6] neo4j,graph [6] data,science Top Word Pairs in Tweet in G3:
[11] adamcowley,jlengstorf [10] special,learn [10] learn,#neo4j [9] live,stream [9] #neo4j,live [9] deploy,neo4j [8] full,stack [8] jlengstorf,show [8] stream,adamcowley [8] neo4j,tune Top Word Pairs in Tweet in G4:
[3] neo4j,workspace [2] infrastructure,applies [2] australian,department [2] instance,intro [2] intro,workspace [2] department,infrastructure [2] #neo4j,#graphdatabase [2] mymdec,skillsfuturesg [2] govtechsg,mysingapore [2] applies,graph Top Word Pairs in Tweet in G5:
[30] bloodhound,neo4j [30] list,attack [30] paths,targeted [30] produce,actionable [30] attack,paths [30] sharphound,bloodhound [30] uses,sharphound [30] neo4j,produce [30] goodhound,uses [30] actionable,list Top Word Pairs in Tweet in G6:
[4] mariadb,postgresql [4] neo4j,redisinc [4] postgresql,neo4j [4] cockroachdb,mariadb [2] nearwizard,cockroachdb Top Word Pairs in Tweet in G7:
[9] #combine22,symposium [8] thanks,sponsors [8] acknowledgement,thanks [8] huge,acknowledgement [8] sponsors,sponsoring [8] sponsoring,#combine22 [8] symposium,seqeralabs [7] seqeralabs,oracleresear [7] combine_au,huge [6] seqeralabs,oracleresearch Top Word Pairs in Tweet in G8:
[3] graph,data [2] googlecloud,technology [2] neo4j,googlecloud [2] technology,look [2] database,apevue [2] masters,graph [2] unicorns,masters [2] apevue,utilized [2] butane,ignition [2] data,science Top Word Pairs in Tweet in G9:
[22] neo4j,rc [11] released,pedromtcosta [11] graphql,migration [11] pedromtcosta,emurgo [11] migration,backend [11] backend,neo4j [11] yoroi,graphql [7] #cardano,ada [7] emurgo,#cardano [6] data,sets Top Word Pairs in Tweet in G10:
[12] houseofswil,wgrus [12] upcoming,event [12] 2022,9am [12] job,data [12] 9am,pt [12] december,2022 [12] science,houseofswil [12] wgrus,tues [12] first,job [12] land,first Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: