From graph data extraction to graph layout: Web information visualization

W. Lai; Xiaodi Huang

doi:10.1109/ICICIS.2010.5534742

From graph data extraction to graph layout: Web information visualization

W. Lai, Xiaodi Huang

Research output: Book chapter/Published conference paper › Conference paper › peer-review

1 Citation (Scopus)

Abstract

A Web graph refers to the graph that is used to represent relationships between Web pages in cyberspace, where a node represents a URL and an edge indicates a link between two URLs. A Web graph is a very huge graph as growing with cyberspace This paper presents a pipeline for extracting web information from cyberspace to a web graph and layout techniques for making the web graph more readable As the size of computer screen is limited, only a small part of the Web graph can be displayed Several layout techniques should be adapted and combined effectively for web graph visualization. The visualization process incorporates graph drawing algorithms, layout adjustment methods, as well as filtering and clustering methods in order to decide which part of the Web graph should be displayed and how to display it based on the user's focus in navigation.

Original language	English
Title of host publication	IEEE International Conference on Informations Sciences and Interaction Sciences (ICIS)
Place of Publication	USA
Publisher	IEEE
Pages	224-229
Number of pages	6
ISBN (Electronic)	9781424473854
DOIs	https://doi.org/10.1109/ICICIS.2010.5534742
Publication status	Published - 2010
Event	3rd International Conference - Chengdu, China, China Duration: 23 Jun 2010 → 25 Jun 2010

Conference

Conference	3rd International Conference
Country/Territory	China
Period	23/06/10 → 25/06/10

Access to Document

10.1109/ICICIS.2010.5534742

Cite this

@inproceedings{e574fe40b2ac437a8a524c0dee2da2c5,

title = "From graph data extraction to graph layout: Web information visualization",

abstract = "A Web graph refers to the graph that is used to represent relationships between Web pages in cyberspace, where a node represents a URL and an edge indicates a link between two URLs. A Web graph is a very huge graph as growing with cyberspace This paper presents a pipeline for extracting web information from cyberspace to a web graph and layout techniques for making the web graph more readable As the size of computer screen is limited, only a small part of the Web graph can be displayed Several layout techniques should be adapted and combined effectively for web graph visualization. The visualization process incorporates graph drawing algorithms, layout adjustment methods, as well as filtering and clustering methods in order to decide which part of the Web graph should be displayed and how to display it based on the user's focus in navigation.",

author = "W. Lai and Xiaodi Huang",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = USA: IEEE, 2010. editor/s (773b) = unknown; Event dates (773o) = 23-25 June 2010; Parent title (773t) = IEEE International Conference on Informations Sciences and Interaction Sciences (ICIS).; 3rd International Conference ; Conference date: 23-06-2010 Through 25-06-2010",

year = "2010",

doi = "10.1109/ICICIS.2010.5534742",

language = "English",

pages = "224--229",

booktitle = "IEEE International Conference on Informations Sciences and Interaction Sciences (ICIS)",

publisher = "IEEE",

}

TY - GEN

T1 - From graph data extraction to graph layout

T2 - 3rd International Conference

AU - Lai, W.

AU - Huang, Xiaodi

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = USA: IEEE, 2010. editor/s (773b) = unknown; Event dates (773o) = 23-25 June 2010; Parent title (773t) = IEEE International Conference on Informations Sciences and Interaction Sciences (ICIS).

PY - 2010

Y1 - 2010

N2 - A Web graph refers to the graph that is used to represent relationships between Web pages in cyberspace, where a node represents a URL and an edge indicates a link between two URLs. A Web graph is a very huge graph as growing with cyberspace This paper presents a pipeline for extracting web information from cyberspace to a web graph and layout techniques for making the web graph more readable As the size of computer screen is limited, only a small part of the Web graph can be displayed Several layout techniques should be adapted and combined effectively for web graph visualization. The visualization process incorporates graph drawing algorithms, layout adjustment methods, as well as filtering and clustering methods in order to decide which part of the Web graph should be displayed and how to display it based on the user's focus in navigation.

AB - A Web graph refers to the graph that is used to represent relationships between Web pages in cyberspace, where a node represents a URL and an edge indicates a link between two URLs. A Web graph is a very huge graph as growing with cyberspace This paper presents a pipeline for extracting web information from cyberspace to a web graph and layout techniques for making the web graph more readable As the size of computer screen is limited, only a small part of the Web graph can be displayed Several layout techniques should be adapted and combined effectively for web graph visualization. The visualization process incorporates graph drawing algorithms, layout adjustment methods, as well as filtering and clustering methods in order to decide which part of the Web graph should be displayed and how to display it based on the user's focus in navigation.

U2 - 10.1109/ICICIS.2010.5534742

DO - 10.1109/ICICIS.2010.5534742

M3 - Conference paper

SP - 224

EP - 229

BT - IEEE International Conference on Informations Sciences and Interaction Sciences (ICIS)

PB - IEEE

CY - USA

Y2 - 23 June 2010 through 25 June 2010

ER -

From graph data extraction to graph layout: Web information visualization

Abstract

Conference

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