Abstract
Information visualization has been a burning topic among the researchers in the recent decade. Getting targeted information, which is everyone’s desire, is becoming difficult with the abundance of data. In this research, we have made an evaluation of our proposed framework PEVNET by conducting an experiment. Thirty two participants evaluated the system. The experiment was performed in two phases. In the first phase, a usability evaluation and qualitative feedback was carried out to check whether the PEVNET framework provided adequate results to the users. The qualitative feedback was performed by considering two aspects: the ease of use and the functionality. In the second phase, the comparison of the PEVNET had been performed against another state-of-the-art tool. Locating the central person, detecting the hidden interaction patterns between the sub-clusters, and detecting temporal activity were among the main tasks that were to be achieved by the participants. These tasks were to be performed in the groups of participants. The case study of Chicago Narcotics datasets was used. We found that the participants, of the PEVNET group, performed the tasks faster as compared to the other techniques used in the experiment. Among the participants, there were a few domain experts who appreciated our novel visualization features. Anecdotally, we believe that by evaluating the PEVNET in this research paper, we will be able to get the confidence of the crime analysts. We have found that the network visualization of the PEVNET framework, based on the experimental results, has gotten satisfactory feedback from the majority of the participants.
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References
Information visualization & visual analytics, Pacific Northwest National Laboratory, U.S. Department of energy. http://vis.pnnl.gov/
Chernoff, H.: The use of faces to represent points in k-dimensional space graphically. Journal of the American Statistical Association 68, 361–368 (1973)
Furnas, G.W., Buja, A.: Prosection views: dimensional inference through sections and projections. With a discussion by John F. Elder IV, ShingoOue and Daniel B. Carr and a rejoinder by the authors. Journal of Computational and Graphical Statistics 3(4), 323–385 (1994)
Ebel, H., Davidsen, J., Bornholdt, S.: Dynamics of social networks. Complexity 8(2), 24–27 (2002)
Grinstein, G., O’Connell, T., Laskowski, S., Plaisant, C., Scholtz, J., Whiting, M.: VAST 2006 contest: A tale of alderwood. In: Proc. First IEEE Int’l Symp. Visual Analytics Science and Technology (VAST 2006), pp. 215−216 (2006)
Heuer, R.J.: Psychology of intelligence analysis
Freeman, L.C.: Centrality in social networks conceptual clarification (1978)
Brantingham, P.L., Ester, M., Frank, R., Glässer, U., Tayebi, M.A.: Co-offending network mining
Carpendale, S.: Evaluating Information Visualizations, Department of Computer Science, University of Calgary, 2500 University Dr. NW, Calgary, AB, Canada T2N 1N4.3
Rasheed, A., Wiil, U.K.: PEVNET: A framework for visualization of criminal networks. In: The 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), pp. 876−881 6 p. IEEE Computer Society Press (2014)
Jordan, P.W.: An Introductin to Usability. Taylor and Francis, Bristol (1998)
Xu, J.J., Chen, H.: University of Arizona, Tucson, AZ, CrimeNet explorer: a framework for criminal network knowledge discovery (2005)
Park A.J., Tsang, H.H., Brantingham, P.L.: Dynalink: A framework for dynamic criminal network visualization. In: European Intelligence and Security Informatics Conference (2012)
Petersen, R.R., Wiil, U.K.: Crimefighter investigator: A novel tool for criminal network investigation. In: European Intelligence and Security Informatics Conference (EISIC), pp. 197−202, September 2011
Barlow, T., Neville, P.: A comparison of 2-d visualization of hierarchies. In: Proceedings of Information Visualization, pp. 131−138 (2001)
Chi, E.H., Reidl, J.T.: An operator interaction framework for visualization systems. In: Proceedings of the IEEE Symposium on Information Visualization. IEEE (1998)
Card, S.K., Mackinlay, J.D., Shneiderman, B.: Readings in information visualization: using vision to think. Morgan Kaufmann (1999)
Mackinlay, J.D., Robertson, G.G., Card, S.K.: The perspective wall: detail and context smoothly integrated. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (1991)
Roussinov, D.G., Chen, H.: Document clustering for electronic meetings: an experimental comparison of two techniques, Department of MIS, Karl Eller Graduate School of Management, University of Arizona, McClelland Hall 430ww, Tucson, AZ 85721, USA
Shneiderman, B.: The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
Jain, A.K., Dubes, R.C.: Algorithms for clustering data. Prentice Hall (1998)
Lampling, J., Rao, R.: Laying out and visualizing large trees using a hyperbolic space. In: Proceedings of the 7th annual ACM Symposium on user Interface Software and Technology. ACM (1994)
Li, X., Juhola, M.: Country crime analysis using the self-organizing map, with special regard to demographic factors. SpringerLink (2013)
Bleed, R.: Visual literacy in higher education, by Ron Bleed, Maricopa Community Colleges, ELI explorations, August 2005
Rasheed, A., Wiil, U.K.: Novel visualization features of temporal data using PEVNET. In: Wang, L.S.-L., June, J.J., Lee, C.-H., Okuhara, K., Yang, H.-C. (eds.) MISNC 2014. CCIS, vol. 473, pp. 228–241. Springer, Heidelberg (2014)
Rasheed, A., Wiil, U.K.: Novel Analysis and Visualization Features in PEVNET, the Maersk Mc-Kinney Moeller Institute University of Southern Denmark Campusvej 55, 5230 Odense M, Denmark (2014) (submitted for acceptance)
McAndrew, D.: The structural analysis of criminal networks. In: The Social Psychology of Crime: Groups, Teams, and Networks
Sparrow, M.K.: The application of network analysis to criminal intelligence: An assessment of the prospects (1991)
Kang, Y., Gorg, C., Stasko, J.: Member IEEE, How can Visual Analytics Assist Investigative Analysis? Design Implications from an Evaluation
Yi, J.S., Kang, Y., Stasko, J., Jacko, A.J.: Toward a Deeper Understanding of the Role of Interaction in Information Visualization
Wiil, U.K.: Issues for the next generation of criminal network investigation tools. In: European Intelligence and Security Informatics Conference (2013)
Peterson, R.P.: Criminal Network Investigation: Processes, Tools, and Techniques. Diss. SDU, Faculty of Engineering, The Maersk Mc-Kinney Moller Institute (2012)
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Rasheed, A., Wiil, U.K., Niazi, M. (2015). Evaluating PEVNET: A Framework for Visualization of Criminal Networks. In: Wang, L., Uesugi, S., Ting, IH., Okuhara, K., Wang, K. (eds) Multidisciplinary Social Networks Research. MISNC 2015. Communications in Computer and Information Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48319-0_11
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DOI: https://doi.org/10.1007/978-3-662-48319-0_11
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