Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Disk layout techniques for online social network data
Imranul Hoque,
Indranil Gupta
Electrical and Computer Engineering
Information Trust Institute
Coordinated Science Lab
Siebel School of Computing and Data Science
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Disk layout techniques for online social network data'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Online Social Networks
100%
Social Information
100%
Disk Layout
100%
Layout Techniques
100%
Popular
33%
Response Time
33%
Community Structure
33%
Disk Access
33%
Network Operation
33%
Social Networking
33%
Access Pattern
33%
Database Engine
33%
Traditional Applications
33%
Read Latency
33%
Social Graph
33%
Social Networking Applications
33%
Placement Decision
33%
Layout Manager
33%
Neo4j Graph Database
33%
Computer Science
Online Social Networks
100%
Social Networking (Online)
100%
Social Network Data
100%
Experimental Result
50%
Response Time
50%
Network Operation
50%
Access Pattern
50%
Database Engine
50%
Graph Database
50%
Traditional Application
50%
Layout Manager
50%
Neo4j
50%