Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
@article{Vu2019GenericMN, title={Generic Multilayer Network Data Analysis with the Fusion of Content and Structure}, author={Xuan-Son Vu and Abhishek Santra and Sharma Chakravarthy and Lili Jiang}, journal={ArXiv}, year={2019}, volume={abs/1905.08635} }
Multi-feature data analysis (e.g., on Facebook, LinkedIn) is challenging especially if one wants to do it efficiently and retain the flexibility by choosing features of interest for analysis. Features (e.g., age, gender, relationship, political view etc.) can be explicitly given from datasets, but also can be derived from content (e.g., political view based on Facebook posts). Analysis from multiple perspectives is needed to understand the datasets (or subsets of it) and to infer meaningful…
Figures and Tables from this paper
9 Citations
From Base Data To Knowledge Discovery - A Life Cycle Approach - Using Multilayer Networks
- Computer ScienceData Knowl. Eng.
- 2022
Structure-Preserving Community In A Multilayer Network: Definition, Detection, And Analysis
- Computer ScienceArXiv
- 2019
This paper proposes several weight metrics for composing layer-wise communities using the bipartite graph match approach based on the analysis semantics and experimentally validates the definition, mapping, and efficiency from a flexible analysis perspective on widely-used IMDb data set.
CoWiz: Interactive Covid-19 Visualization Based On Multilayer Network Analysis
- Computer Science2021 IEEE 37th International Conference on Data Engineering (ICDE)
- 2021
The types of analysis, underlying model, and how a flexible visualization dashboard has been developed using open source software and data sets are elaborates on.
WINFRA: A Web-Based Platform for Semantic Data Retrieval and Data Analytics
- Computer ScienceMathematics
- 2020
Given the huge amount of heterogeneous data stored in different locations, it needs to be federated and semantically interconnected for further use. This paper introduces WINFRA, a comprehensive…
KBot: A Knowledge Graph Based ChatBot for Natural Language Understanding Over Linked Data
- Computer ScienceIEEE Access
- 2020
This work designs and develops an architecture to provide an interactive user interface and proposes a machine learning approach based on intent classification and natural language understanding to understand user intents and generate SPARQL queries to extend the chatbot capabilities by understanding analytical queries.
Privacy-Guardian: The Vital Need in Machine Learning with Big Data
- Computer Science
- 2020
This thesis studies how to construct information infrastructures for data federation with privacy guarantee in the big data era, and proposed different frameworks empowered by privacy-aware algorithms to capture the sensitivities of user data.
Big Data Analytics: 7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings
- Computer ScienceBDA
- 2019
In NICT Real World Information Analytics Project, an ICT platform called xData (cross-data) platform is constructed for developing smart applications with harnessing the above technologies toward realization of smart and sustainable cities.
Federated Artificial Intelligence for Unified Credit Assessment
- BusinessHCI
- 2020
A new paradigm of the unified credit assessment with the use of federated artificial intelligence is investigated and digital human representation which consists of social, contextual, financial and technological dimensions to assess the commercial creditworthiness and social reputation of both banked and unbanked individuals is conceptualised.
References
SHOWING 1-10 OF 34 REFERENCES
HUBify: Efficient Estimation of Central Entities Across Multiplex Layer Compositions
- Computer Science2017 IEEE International Conference on Data Mining Workshops (ICDMW)
- 2017
Graphs or networks are a natural way to analyze inter-related set of entities. When these entities are associated with a diverse number of features, each denoting a specific perspective, then the…
Holistic Analysis of Multi-source, Multi-feature Data: Modeling and Computation Challenges
- Computer ScienceBDA
- 2017
As a result of our increased ability to collect data from different sources, many real-world datasets are increasingly becoming multi-featured and these features can also be of different types.…
Multilayer networks
- Computer ScienceJ. Complex Networks
- 2014
This chapter shows how interconnected multilayer topology describes such networks more accurately than edge coloring does and introduces the tensor formalism used to construct them.
Community Detection in Multi-Layer Graphs: A Survey
- Computer ScienceSGMD
- 2015
This survey provides readers with a comprehensive understanding of community detection in multi-layer graphs and compares the state-of-the-art algorithms with respect to their underlying properties.
Efficient Community Re-creation in Multilayer Networks Using Boolean Operations
- Computer ScienceICCS
- 2017
Communities in multislice voting networks.
- HistoryChaos
- 2010
A community detection method for multislice multiplex, multiscale, and/or time-dependent networks in which a single quality function is optimized that generalizes modularity using an appropriate null model.
Emergence of network features from multiplexity
- Computer ScienceScientific reports
- 2013
This work analyzes the structural properties of an intrinsically multilayered real network, the European Air Transportation Multiplex Network in which each commercial airline defines a network layer, and discusses how the topology of each layer affects the emergence of structural properties in the aggregate network.
Mining and summarizing customer reviews
- BusinessKDD
- 2004
This research aims to mine and to summarize all the customer reviews of a product, and proposes several novel techniques to perform these tasks.