# Ego-centric Graph Pattern Census

@article{Moustafa2012EgocentricGP, title={Ego-centric Graph Pattern Census}, author={Walaa Eldin M. Moustafa and Amol Deshpande and Lise Getoor}, journal={2012 IEEE 28th International Conference on Data Engineering}, year={2012}, pages={234-245} }

There is increasing interest in analyzing networks of all types including social, biological, sensor, computer, and transportation networks. Broadly speaking, we may be interested in global network-wide analysis (e.g., centrality analysis, community detection) where the properties of the entire network are of interest, or local ego-centric analysis where the focus is on studying the properties of nodes (egos) by analyzing their neighborhood sub graphs. In this paper we propose and study ego…

## 13 Citations

An Automated System for Discovering Neighborhood Patterns in Ego Networks

- Computer ScienceArXiv
- 2015

An automated system is developed in order to discover the occurrences of prototypical ego-centric patterns from data to provide a data-driven instrument to be used in behavioral sciences for graph interpretations.

EAGr: supporting continuous ego-centric aggregate queries over large dynamic graphs

- Computer ScienceSIGMOD Conference
- 2014

EAGr, a system for supporting large numbers of continuous neighborhood-based ("ego-centric") aggregate queries over large, highly dynamic, rapidly evolving graphs, and presents an optimal, polynomial-time algorithm for making the pre-computation decisions given an overlay graph.

DUKE: A Solution for Discovering Neighborhood Patterns in Ego Networks

- Computer ScienceICWSM
- 2015

This work presents a novel solution that discovers occurrences of prototypical ’ego network’ patterns from social media and mobile-phone networks, to provide a data-driven instrument to be used in behavioral sciences for graph interpretations.

Central limit theorems for local network statistics

- MathematicsArXiv
- 2020

This work derives the asymptotic joint distribution of rooted subgraph counts in inhomogeneous random graphs, a model which generalizes many popular statistical network models and enables a shift in the statistical analysis of large graphs, from estimating network summaries, to estimating models linking local network structure and vertex-specific covariates.

Towards Neighborhood Window Analytics over Large-Scale Graphs

- Computer ScienceDASFAA
- 2016

A novel index, Dense Block Index DBIndex, is developed to facilitate efficient processing of k-hop window queries and are superior over the state-of-the-art solution in terms of both scalability and efficiency.

Partial view selection for evolving social graphs

- Computer ScienceGRADES
- 2013

This paper proposes deploying partial view instead of full snapshot construction and defines conditions that determine when a partial view can be used to evaluate a query, and proposes using a cache of partial views to reduce the query evaluation cost.

egoComp: A node-link-based technique for visual comparison of ego-networks

- Computer ScienceInf. Vis.
- 2017

To preserve the latent structure of ego-network and lay emphasis on intuitiveness, the design is node-link-based (radial tree layout) and uses a side-by-side method to compare ego-nets, and a novel storyflow-like graph layout to reveal the relationship of two ego-networks at the individual node level.

Graph Pattern Mining, Search and OLAP

- Computer Science
- 2012

The existing studies are mostly focused on the multiple graphs scenario, but with some modifications, the mining methodology can be extended to the single graph scenario with limited modifications.

Finding the Needle in a Haystack: Entropy Guided Exploration of Very Large Graph Cubes

- Computer ScienceEDBT/ICDT Workshops
- 2018

This work utilizes information entropy measures in order to help the analyst navigate within the rich information contained in a graph cube, and proposes a graph analysis workflow that first suggests interesting cuboids from the exponential collection of aggregations that exist in the graph cube.

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