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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal>The contents of the latest issue of:<br><b>International Journal of Intelligent Information Technologies (IJIIT)</b><br>Volume 10, Issue 4, October - December 2014<br>Published: Quarterly in Print and Electronically<br>ISSN: 1548-3657; EISSN: 1548-3665; <br>Published by IGI Global Publishing, Hershey, USA<br><a href="http://www.igi-global.com/journal/international-journal-intelligent-information-technologies/1089" target="_blank">www.igi-global.com/ijiit</a><span style='font-size:12.0pt'><o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>Editor(s)-in-Chief: Vijayan Sugumaran (Oakland University, USA)<o:p></o:p></span></p><p class=MsoNormal><i>Note: There are no submission or acceptance fees for manuscripts submitted to the International Journal of Intelligent Information Technologies (IJIIT). All manuscripts are accepted based on a double-blind peer review editorial process.</i><o:p></o:p></p><p><b><span style='font-family:"Calibri",sans-serif'>ARTICLE 1</span></b><span style='font-family:"Calibri",sans-serif'><o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>Relative Superiority of Key Centrality Measures for Identifying Influencers on Social Media<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>Yifeng Zhang (Department of Management Information Systems, University of Illinois at Springfield, Springfield, IL, USA), Xiaoqing Li (Department of Management Information Systems, University of Illinois at Springfield, Springfield, IL, USA)<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>Marketers have been increasingly turning to social media for marketing campaigns, including viral marketing. A key step in viral marketing is to identify influencers in order to maximize the reach of a marketing message. Existing research shows that centrality measures, such as degree and betweenness, are effective methods for influencer identification. However, viral marketing models used in different studies vary greatly, making it difficult to compare findings across the studies. In this paper, the authors built an agent-based framework of viral marketing that supports different experiment settings, such as different network structures and information diffusion modes, and used it to study relative superiority of various centrality measures. The results show that relative superiority of the measures are affected by some factors, but not as much by others. Practical implications of the results are discussed.<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>To obtain a copy of the entire article, click on the link below.<br><a href="http://www.igi-global.com/article/relative-superiority-of-key-centrality-measures-for-identifying-influencers-on-social-media/123941" target="_blank">www.igi-global.com/article/relative-superiority-of-key-centrality-measures-for-identifying-influencers-on-social-media/123941</a><o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>To read a PDF sample of this article, click on the link below.<br><a href="http://www.igi-global.com/viewtitlesample.aspx?id=123941" target="_blank">www.igi-global.com/viewtitlesample.aspx?id=123941</a><o:p></o:p></span></p><p><b><span style='font-family:"Calibri",sans-serif'>ARTICLE 2</span></b><span style='font-family:"Calibri",sans-serif'><o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>An Artificial Bee Colony (ABC) Algorithm for Efficient Partitioning of Social Networks<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>Amal M. Abu Naser (Yarmouk University, Irbid, Jordan), Sawsan Alshattnawi (Yarmouk University, Irbid, Jordan)<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>Social networks clustering is an NP-hard problem because it is difficult to find the communities in a reasonable time; therefore, the solutions are based on heuristics. Social networks clustering aims to collect people with common interest in one group. Several approaches have been developed for clustering social networks. In this paper the researchers, introduce a new approach to cluster social networks based on Artificial Bee Colony optimization algorithm, which is a swarm based meta-heuristic algorithm. This approach aims to maximize the modularity, which is a measure that represents the quality of network partitioning. The researchers cluster some real known social networks with the proposed algorithm and compare it with the other approaches. Their algorithm increases the modularity and gives higher quality solutions than the previous approaches.<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>To obtain a copy of the entire article, click on the link below.<br><a href="http://www.igi-global.com/article/an-artificial-bee-colony-abc-algorithm-for-efficient-partitioning-of-social-networks/123942" target="_blank">www.igi-global.com/article/an-artificial-bee-colony-abc-algorithm-for-efficient-partitioning-of-social-networks/123942</a><o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>To read a PDF sample of this article, click on the link below.<br><a href="http://www.igi-global.com/viewtitlesample.aspx?id=123942" target="_blank">www.igi-global.com/viewtitlesample.aspx?id=123942</a><o:p></o:p></span></p><p><b><span style='font-family:"Calibri",sans-serif'>ARTICLE 3</span></b><span style='font-family:"Calibri",sans-serif'><o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>Towards Ontological Structures Extraction from Folksonomies: An Efficient Fuzzy Clustering Approach<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>Marouf Zahia (EEDIS Laboratory, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria), Benslimane Sidi Mohamed (EEDIS Laboratory, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria)<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>Folksonomies are one of the technologies of Web 2.0 that permit users to annotate resources on the Web. In this paper, the authors propose an integrated approach to extract ontological structures from unstructured and semi-structured resources. Our proposal overcome limitations of existing approaches. It gives a formal, simple, and efficient solution to the tag clustering and disambiguation problem. Moreover, their approach doesn't need any ontology as an upper guide during the generation process. The generated ontology can be used to enhance various tasks such as ontology evolution and enrichment.<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>To obtain a copy of the entire article, click on the link below.<br><a href="http://www.igi-global.com/article/towards-ontological-structures-extraction-from-folksonomies/123943" target="_blank">www.igi-global.com/article/towards-ontological-structures-extraction-from-folksonomies/123943</a><o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>To read a PDF sample of this article, click on the link below.<br><a href="http://www.igi-global.com/viewtitlesample.aspx?id=123943" target="_blank">www.igi-global.com/viewtitlesample.aspx?id=123943</a><o:p></o:p></span></p><p><b><span style='font-family:"Calibri",sans-serif'>ARTICLE 4</span></b><span style='font-family:"Calibri",sans-serif'><o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>Fall Detection with Part-Based Approach for Indoor Environment<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>A. Annis Fathima (AU-KBC Research Centre, Madras Institute of Technology, Anna University, Chennai, India), V. Vaidehi (AU-KBC Research Centre, Madras Institute of Technology, Anna University, Chennai, India), K. Selvaraj (AU-KBC Research Centre, Madras Institute of Technology, Anna University, Chennai, India)<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>In the current scenario, majority of the aged people want to lead independent life, and most of them prefer living at their own home. According to recent case studies, the major cause of casualty among elder people has been due to the accidental falls. Hence, it is eminent to have a fall detection monitoring system at home. The prevailing method for fall detection uses accelerometers to distinguish fall from other day to day activities, these results are more erroneous. In this paper, vision based “Fall detection with part-based approach (FDP)” is proposed to give accurate information about the person activities in the indoor. The proposed scheme uses background subtraction in association with aspect ratio and inclination angle to detect the fall. Moreover, the proposed approach predicts the fall even if the person is occluded by other objects or under self-occluded condition. To detect the person even if only partly visible and occluded by other non-moving objects, part based approach is adapted. To train the system for detection purpose, Cascaded structure of Haar-rectangular features with joint-boosting classifier is utilized. The detection efficiency is measured by precision, recall and accuracy parameters.<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>To obtain a copy of the entire article, click on the link below.<br><a href="http://www.igi-global.com/article/fall-detection-with-part-based-approach-for-indoor-environment/123944" target="_blank">www.igi-global.com/article/fall-detection-with-part-based-approach-for-indoor-environment/123944</a><o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>To read a PDF sample of this article, click on the link below.<br><a href="http://www.igi-global.com/viewtitlesample.aspx?id=123944" target="_blank">www.igi-global.com/viewtitlesample.aspx?id=123944</a><o:p></o:p></span></p><div class=MsoNormal align=center style='text-align:center'><hr size=2 width="100%" align=center></div><p class=MsoNormal>For full copies of the above articles, check for this issue of the <b>International Journal of Intelligent Information Technologies (IJIIT)</b> in your institution's library. This journal is also included in the IGI Global aggregated <b>"InfoSci-Journals"</b> database: <a href="http://www.igi-global.com/e-resources/infosci-databases/infosci-journals/" target="_blank">www.igi-global.com/isj</a>.<o:p></o:p></p><div class=MsoNormal align=center style='text-align:center'><hr size=2 width="100%" align=center></div><p><b><span style='font-family:"Calibri",sans-serif'>CALL FOR PAPERS</span></b><span style='font-family:"Calibri",sans-serif'><o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>Mission of IJIIT:<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>The advent of the World Wide Web has sparked renewed interest in the area of intelligent information technologies. There is a growing interest in developing intelligent technologies that enable users to accomplish complex tasks in web-centric environments with relative ease, utilizing such technologies as intelligent agents, distributed computing in heterogeneous environments, and computer supported collaborative work. The mission of the <b>International Journal of Intelligent Information Technologies (IJIIT)</b> is to bring together researchers in related fields such as information systems, distributed AI, intelligent agents, and collaborative work, to explore and discuss various aspects of design and development of intelligent technologies. This journal provides a forum for academics and practitioners to explore research issues related to not only the design, implementation and deployment of intelligent systems and technologies, but also economic issues and organizational impact. Papers related to all aspects of intelligent systems including theoretical work on agent and multi-agent systems as well as case studies offering insights into agent-based problem solving with empirical or simulation based evidence are welcome.<o:p></o:p></span></p><p><span style='font-family:"Calibri",sans-serif'>Indices of IJIIT:<o:p></o:p></span></p><ul type=disc><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>ACM Digital Library<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Australian Business Deans Council (ABDC)<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Bacon's Media Directory<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Burrelle's Media Directory<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Cabell's Directories<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Compendex (Elsevier Engineering Index)<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>CSA Illumina<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>DBLP<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>DEST Register of Refereed Journals<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Gale Directory of Publications & Broadcast Media<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>GetCited<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Google Scholar<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>INSPEC<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>JournalTOCs<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Library & Information Science Abstracts (LISA)<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>MediaFinder<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Norwegian Social Science Data Services (NSD)<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>SCOPUS<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>The Index of Information Systems Journals<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>The Standard Periodical Directory<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Ulrich's Periodicals Directory<o:p></o:p></li></ul><p><span style='font-family:"Calibri",sans-serif'>Coverage of IJIIT:<o:p></o:p></span></p><p style='margin-bottom:12.0pt'><span style='font-family:"Calibri",sans-serif'>The <b>International Journal of Intelligent Information Technologies (IJIIT)</b> encourages quality research dealing with (but not limited to) the following topics: <o:p></o:p></span></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Agent-based auction, contracting, negotiation, and ecommerce <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Agent-based control and supply chain <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Agent-based simulation and application integration <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Cooperative and collaborative systems <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Distributed intelligent systems and technologies <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Human-agent interaction and experimental evaluation <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Implementation, deployment, diffusion, and organizational impact <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Integrating business intelligence from internal and external sources <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Intelligent agent and multi-agent systems in various domains <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Intelligent decision support systems <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Intelligent information retrieval and business intelligence <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Intelligent information systems development using design science principles <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Intelligent Web mining and knowledge discovery systems <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Manufacturing information systems <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Models, architectures and behavior models for agent-oriented information systems <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Multimedia information processing <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Privacy, security, and trust issues <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Reasoning, learning and adaptive systems <o:p></o:p></p><p class=MsoNormal><span style='font-family:Symbol'>·</span> Semantic Web, Web services, and ontologies<o:p></o:p></p><p><span style='font-family:"Calibri",sans-serif'>Interested authors should consult the journal's manuscript submission guidelines <a href="http://www.igi-global.com/calls-for-papers/international-journal-intelligent-information-technologies/1089" target="_blank">www.igi-global.com/calls-for-papers/international-journal-intelligent-information-technologies/1089</a><o:p></o:p></span></p><p class=MsoNormal>=========================================<o:p></o:p></p><p class=MsoNormal>Vijayan Sugumaran, Ph.D.<o:p></o:p></p><p class=MsoNormal>Professor of Management Information Systems<o:p></o:p></p><p class=MsoNormal>Chair, Department of Decision and Information Sciences<o:p></o:p></p><p class=MsoNormal>School of Business Administration<o:p></o:p></p><p class=MsoNormal>Oakland University<o:p></o:p></p><p class=MsoNormal>Rochester, MI 48309<o:p></o:p></p><p class=MsoNormal>Phone: 248-370-4649<o:p></o:p></p><p class=MsoNormal>Fax: 248-370-4275<o:p></o:p></p><p class=MsoNormal>Email: <a href="mailto:sugumara@oakland.edu">sugumara@oakland.edu</a><o:p></o:p></p><p class=MsoNormal>=========================================<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>