CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

A Framework of Dynamic Visualization Tool for Terrorist Meta Crawler

by R. D. Gaharwar, D. B. Shah
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 162 - Number 8
Year of Publication: 2017
Authors: R. D. Gaharwar, D. B. Shah
10.5120/ijca2017913383

R. D. Gaharwar, D. B. Shah . A Framework of Dynamic Visualization Tool for Terrorist Meta Crawler. International Journal of Computer Applications. 162, 8 ( Mar 2017), 6-8. DOI=10.5120/ijca2017913383

@article{ 10.5120/ijca2017913383,
author = { R. D. Gaharwar, D. B. Shah },
title = { A Framework of Dynamic Visualization Tool for Terrorist Meta Crawler },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 162 },
number = { 8 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 6-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume162/number8/27261-2017913383/ },
doi = { 10.5120/ijca2017913383 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:08:26.857240+05:30
%A R. D. Gaharwar
%A D. B. Shah
%T A Framework of Dynamic Visualization Tool for Terrorist Meta Crawler
%J International Journal of Computer Applications
%@ 0975-8887
%V 162
%N 8
%P 6-8
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays different types of web crawlers are available to perform variety of tasks. As internet is expanding the need of specialized web crawlers is also increasing with each passing days. Numbers of visualization tools which can be used to dynamically generate visual images are available in market. The need for visual representation of data increases in the case of counter terrorism. Terror activities can be easily and effectively represented as Terrorist Network Graphs where nodes can be terrorist organization/ terrorist and edges between these nodes can be communicational, ideological, monitorial etc relationships among them. This graph helps in deciphering the operations of terrorist camps. This paper presents the framework of dynamic Visualization Tool which is connected to Terrorist Meta Crawler and generates Terrorist Network Graphs as output. Moreover this tool will generate the output dynamically hence any topological change in the structure of terrorist networks will be effectively reflected in the Terrorist Network Graphs produced by this tool also.

References
  1. R. D. Gaharwar, D. B. Shah, and G.K.S. Gaharwar, "Terrorist Network Mining: Issues and Challenges," International Journal of Advance Research in Science and Engineering, vol. 4, no. 1, pp. 33-37, 2015.
  2. M. A. Shaikh and W. Jaixin, "Investigative Data Mining : Identifying Key Nodes in Terrorist Networks,"IEEE International Conference Multi Topic, 2006.
  3. N. Chaurasia, M. Dhakar, A. Tiwari and R. K. Gupta, "A survey on Terrorist Network Mining: CurrentTrends and Opportunities," International Journal of Computer Science & Engineering Survey (IJCSES),vol. 3, no. 4, pp. 59-66, August, 2012.
  4. Etzioni, Oren. "Moving up the information food chain: Deploying softbots on the world wide web." AI magazine 18.2 (1997): 11.
  5. R. D. Gaharwar, D. B. Shah, and G.K.S. Gaharwar, "The Study of Multi-Search Services for Terrorist Network Mining", International Journal of Computer Applications, vol. 147, no. 11, pp. 30-32, August 2016.
  6. http://www.seochat.com/c/a/search-engine-optimization-help/search-engines-and-algorithms-metasearch-engines-a-tool-for-seo/
  7. Hsu, William H. "Information Visualization Techniques for Big Data: Analytics using Heterogeneous." Packaging Digital Information for Enhanced Learning and Analysis: Data Visualization, Spatialization, and Multidimensionality: Data Visualization, Spatialization, and Multidimensionality (2013): 184.
  8. Lesev, Hristo, and Alexander Penev. "A framework for visual dynamic analysis of ray tracing algorithms." Cybernetics and Information Technologies 14.2 (2014): 38-49.
  9. Azad, Sarita, and Arvind Gupta. "A quantitative assessment on 26/11 Mumbai attack using social network analysis." Journal of Terrorism Research 2, no. 2 (2011).
  10. Selberg, Erik, and Oren Etzioni. "The MetaCrawler architecture for resource aggregation on the Web." IEEE expert 12, no. 1 (1997): 11-14.
Index Terms

Computer Science
Information Sciences

Keywords

Terrorist Network Graph Terrorist Networks Terrorist Meta Crawler Visualization Meta Crawler

Powered by PhDFocusTM