merlin-id:10096jqyan@ifi.uzh.chconference_itemfirstelectroniceng10009YanJiaqijiaqi.yan@uzh.chSunSherryWangHuaiqing ShiYani HuDaninghdaning@ifi.uzh.chInternational Conference on Information SystemsconferenceAuckland New ZealandpaperoriginalrefereedAuckland New Zealand2014-12-142014-12-17keininfo2014-09-25 11:56:05merlin-id:10095jqyan@ifi.uzh.ch99668When designing a business process, individual agents are assigned to perform tasks based on certain goals (i.e., designed process goals). However, based on their own interests, real-world agents often have different goals (i.e., agents’ goals) and thus may behave differently than designed, often resulting in reduced effectiveness or efficiencies of the executed process. Moreover, existing business process research lacks effective methods for discovering agents’ goals in the actual execution of the designed business processes. To address this problem, we propose an agent-oriented goal mining approach to modeling, discovering, and analyzing agents’ goals in executed business processes using historical event logs and domain data. To the best of our knowledge, our research is the first to adopt the agents’ goal perspective to study inconsistencies between the design and execution of business processes. Moreover, it also provides a useful tool for stakeholders to discover real-world agents’ actual goals and thus provides insights for improving the task assignment mechanism or business process design in general.articlefinaldeuhttp://dl.acm.org/ft_gateway.cfm?id=2629448&ftid=1524095&dwn=1&CFID=483502727&CFTOKEN=78046865http://dl.acm.org/citation.cfm?id=2677016.2629448&coll=DL&dl=ACM&CFID=483502727&CFTOKEN=7804686510.1145/262944810009YanJiaqijiaqi.yan@uzh.chHuDaninghdaning@ifi.uzh.chLiaoStephen SWangHuaiqing20-20452158-656XAssociation for Computing MachineryoriginalACM Transactions on Management Information Systemsrefereed2014-11-20keininfo2016-04-05 18:26:07merlin-id:10519articlefirstelectroniceng10009DengShuiguangHuangLongtaoHuDaninghdaning@ifi.uzh.chZhaoJ. LeonWuZhaohui123-133originalIEEE Transactions on Services Computingrefereed2014-10-25keininfomerlin-id:10124articlefirstelectroniceng10009DengShuiguangWuHongyue HuDaninghdaning@ifi.uzh.chZhaoJ. Leon1-16originalIEEE Transactions on Services Computing refereed2014-09-26keininfomerlin-id:10094articlefinal10009ZhaoJ. LeonFanShaokunHuDaninghdaning@ifi.uzh.ch137-147original Journal of Management Analyticsrefereed2014-09-20keininfomerlin-id:841788573The 2008 banking crisis demonstrated that there is a lack of effective methods for modeling and analyzing “exceptional but plausible” risk scenarios in bank stress testing. Existing stress testing practices mainly focus on modeling probability-based risk factors and events in banking systems using historical data. Rare (low probability) risk events that can cause financial crises in banking systems, such as the bankruptcy of Lehman Brothers, are largely ignored due to the lack of appropriate modeling and analysis methods. To address this problem, we propose an approach called Banking Event-driven Scenario-oriented Stress Testing (or simply, BESST) which has two main components: 1) an ontology-based event-driven scenario model (OESM), and 2) two analysis methods based on OESM for scenario recommendation and plausibility checking. The proposed BESST approach provides bank stress testing stakeholders an effective method for modeling and analyzing financial crisis scenarios that are rare but often have significant consequences.articlefinaleng10.1016/j.dss.2013.08.009doi10009HuDaninghdaning@ifi.uzh.chYanJiaqijiaqi.yan@uzh.chZhaoLeonHuaZhimin81-94630167-9236ElsevieroriginalDecision Support Systemsrefereed2014keininfoapplication/pdfvaliduser

Hu_et_al_Ontology-based_scenario_modeling.pdf

Hu_et_al_Ontology-based_scenario_modeling.pdfapplication/pdf5639002016-04-05 17:23:58merlin-id:9322Lately, we often heard about the Business Intelligence solutions but very less about the Process Improvement with the Business Intelligent. In order to continue, expand from other companies, Siemens Switzerland AG - Divison Mobility and Rail Systems (MOL / RL) would like to improve their processes and gain relevant information to make better and accurate decisions. As part of my master thesis, I analysed the MOL / RL processes and developed a BI solution by focusing in three defined use cases. The goals were to increase productivity, place the trend technology, gain in efficiency with faster access, and provide relevant information to make better and accurate decisions. My research findings show the following weaknesses: -“Inefficient process” -“No standards reports and different data sources” -“A lot of media disruption and manually work” -“No up-to-date information” -“No adequate technology” After those findings we have defined a uniform processes and based on it, we have developed BI solution with the Microsoft technology. This BI solution has been evaluated thereafter. In conclusion, based on this evaluation results with the new process definition and BI solution the goals from both side IT and business are achieved. Moreover the results of this research showed that with this new process definition and BI solution, the productivity can be increased more than 200% and very high efficiency can be gained.finaleng10009ShabaniFlorimHuDaninghdaning@ifi.uzh.chRiederChristoph University of Zuricheconomics792014keininfoapplication/pdfvaliduser

Master thesis.pdf

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Another level of complexity is added by the temporal evolution of the market. In this work, historic stock market data gathered from the New York Stock Exchange over a period of over 23 years will be analyzed. Specifically, a correlation analysis of price returns will be used to construct network representations of the market data. To capture the dynamics of the market situation different time window sizes and threshold values are applied to the data. The results show, that one optimal value can not satisfy all needs. A thorough understanding of the parameters is needed to select the appropriate variables for the specific task. Furthermore a novel approach to network formation for correlation networks over long time periods is proposed. This method allows the detection of weak but temporally persistent correlations in stock data, which are filtered out in the conventional method of network formation. This method could in future also provide insight in to other data sets of a dynamic nature. finaleng10009GöldiMauriceHuDaninghdaning@ifi.uzh.chUniversity of Zuricheconomics452014keininfoapplication/pdfvaliduser

Master_Thesis_Goldi_Maurice.pdf

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Italy2013-12-152013-12-18keininfoapplication/pdfpublic

Identifying_Patterns_of_Idea_Diffusion_in_Innovator_Networks.pdf

Identifying_Patterns_of_Idea_Diffusion_in_Innovator_Networks.pdfapplication/pdf3797452016-04-05 17:12:35merlin-id:8789In the problem management, there is a need for decision support. To fulfill this need, the IT service desk data takes a strategic role. This work analyzes how a categorization model may give the business access to decision support. On the one side, there is a need for automatic status classification of the data. On the other side, a flexible querying and reporting process for business users is required. Thus, this work analyzes a method how the categorization of service desk data can be modelled and maintained. The proposed method combines both status classification of structured features and text classification for the unstructured features. Although many classification methods have been tested in research, there is still a need for an automated classification process. Many supervised approaches have been found to be successful. However, they require training data. This work addresses these difficulties in the creation and maintenance of a knowledge base. To do so, a process is analyzed empowering the business to create and maintain a knowledge base for the classification. The approach is based on the Case-Based-Reasoning method. The developed design analyzes how business experts can be involved in the knowledge base creation and its maintenance. The categorization model is evaluated with a proof-of-concept. Results show how valuable service desk data become when made accessible to the business by the proposed model.finaleng10009ReyPriscilaHuDaninghdaning@ifi.uzh.chUniversity of Zuricheconomics942013keininfoapplication/pdfvaliduser

thesis.pdf

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MDAwMDAgbiAKMDAwNDY2ODU3OSAwMDAwMCBuIAowMDA0NjY4NjMyIDAwMDAwIG4gCnRyYWlsZXIK PDwgL1NpemUgNDkwCi9Sb290IDQ4OCAwIFIKL0luZm8gNDg5IDAgUgovSUQgWzw1MUE5QzBGNUIz RkJFOUQ3OEE1OTRFRUEwNkNGNkYwNj4gPDUxQTlDMEY1QjNGQkU5RDc4QTU5NEVFQTA2Q0Y2RjA2 Pl0gPj4Kc3RhcnR4cmVmCjQ2Njg4NTUKJSVFT0YKmerlin-id:8120finaleng10009HuDaninghdaning@ifi.uzh.chYangXuanLiJiexunYanJiaqijiaqi.yan@uzh.chthe China Summer Workshop on Information Management (CSWIM 2013)conferenceTianjin, Chinapaperoriginalrefereed2013-06-292013-06-30keininfomerlin-id:8119finaleng10009WangWeiYangXuanHuaZhiminZhongXuepanHuDaninghdaning@ifi.uzh.chLiaoStephenInternational Business Information Management Conference (21st IBIMA)conferenceVienna, Austriapaperoriginalrefereed2013-06-272013-06-28keininfomerlin-id:8077finaleng10009YangXuanHuDaninghdaning@ifi.uzh.chDavisonRobert2013 46th Hawaii International Conference on System SciencesconferenceHawaiipaperoriginalrefereed2013-01-072013-01-10keininfomerlin-id:728467511The 2008 banking crisis has demonstrated that there is the lack of effective methods for modeling and analyzing “exceptional but plausible” risk scenarios in bank stress testing. However, existing bank stress testing practices mainly focus on modeling probability-based risk factors and events in a “static snapshot” of the banking systems, but largely ignore the dynamic processes in which financial crisis events and their interactions creates various complex risk scenarios. In addition, the rare (low probability) risk events such as the bankruptcy of Lehman Brothers that can cause “exceptional but plausible” crisis scenarios are largely ignored due to the lack of appropriate modeling and analysis methods. To address this problem, we developed an approach called Banking Event-driven Scenario-oriented Stress Testing (or simply the BESST) which mainly includes three components: 1) a set of stress testing ontologies; 2) an event-driven scenario model (OESM); and 3) a scenario recommendation component. In addition, we show how to use BESST to model and examine “exceptional but plausible” stress testing scenarios in an example process of crisis events. In general, this research has provided the bank stress testing stakeholders a novel approach for modeling and analyzing the rare risk events and their dynamic processes in various financial crisis scenarios.conference_itemfinalenghttp://www.hicss.hawaii.edu/hicss_46/apahome46.htm10.1109/HICSS.2013.9110009YanJiaqijiaqi.yan@uzh.chHuDaninghdaning@ifi.uzh.chZhaoJ Leon978-1-4673-5933-73407-3415IEEEthe 46th Hawaii International Conference on System Sciences (HICSS)conferenceHawaii, USpaperoriginalrefereedHawaii, US2013-01-072013-01-10keininfoapplication/pdfvaliduser

4892d407.pdf

4892d407.pdfapplication/pdf3551902016-04-05 16:08:05Konferenz findet erst statt, Papers werden gemäss Website dann bei IEEE publiziert.merlin-id:728567507In recent years there is a growing trend in business firms that aims to transform their manufacturing-based business models, processes and practices to service-based ones. This trend is especially important for Information Technology (IT) industry since IT is considered as a major provider of various business services. However, there is little empirical research on the service relationships in the IT industry level. We adopt a network perspective to empirically investigate a financial dataset that contains service-related transactions between 587 IT companies and their major clients. It was found that the constructed customer-supplier network in IT industry shows scale-free network topology. This finding indicates that IT service market is dominated by a few large customers such as U.S. Government and industry leaders. Leading IT companies such as DELL and Microsoft are more of service customers than providers. The results of our descriptive analysis may provide potential research directions for empirical service researchers and practical implications for IT service firms and professions.conference_itemfinaleng10.1109/SE.2012.610009HuDaninghdaning@ifi.uzh.chZhaoJ Leon978-1-4673-3048-040-45s.n.2012 IEEE First International Conference on Services EconomicsconferenceHonolulu, HIpaperoriginalrefereedHonolulu, HI2012-08-242012-08-29keininfoapplication/pdfvaliduser

Hu_Zhao_Service_Network_Analysis.pdf

Hu_Zhao_Service_Network_Analysis.pdfapplication/pdf4261822016-04-05 16:08:04merlin-id:683661049Successful development of open source software (OSS) projects requires a steady supply of self motivated software developers. Thus a large body of OSS studies focuses on studying the developers' participation motivations. One important motivation is an OSS developer's desire to gain good community reputation which is largely based on positive evaluations from his peers. Therefore, to better motivate developers' project participations through their reputation needs, our empirical analysis adopted a social network perspective to study what factors may affect a developer's decision to positively evaluate one other in a large online open source community called Ohloh. The results surprisingly show that a developer's positive evaluation decision does not depend on his evaluatee's level of OSS-related experience, but rather based on 1) his past reputation (i.e. existing number of positive evaluations), 2) their shared affiliations such as mutual acquaintances, as well as 3) their homophily in location (city), nationality, programming language preference, and community status. We then discuss these findings and their implications for inducing more positive evaluations and better reputation management among open source project members. To the best of our knowledge, this paper is the first research that investigates issues of reputation building and relationship management in an open source development context.articlefinaleng10.1016/j.dss.2012.02.005doi10009HuDaninghdaning@ifi.uzh.chZhaoJ LeonChenJiesichengj@email.arizona.edu526-5333530167-9236ElsevieroriginalDecision Support Systemsrefereed2012keininfoapplication/pdfvaliduser

Hu_et_al_Reputation_management.pdf

Hu_et_al_Reputation_management.pdfapplication/pdf2937132016-04-05 15:44:13merlin-id:728667509In the wake of the 2008 financial tsunami, existing methods and tools for managing financial risks have been criticizedfor weaknesses in monitoring and alleviating risks at the systemic level. A 2009 article in Nature suggested newapproaches to modeling economic meltdowns are needed to prevent future financial crises. However, existing studieshave not focused on analysis of systemic risk at the individual bank level in a banking network, which is essential formonitoring and mitigating contagious bank failures. To this end, we develop a network approach to risk management(NARM) for modeling and analyzing systemic risk in banking systems. NARM views banks as a network that is linkedthrough financial relationships. It incorporates network and financial principles into a business intelligence (BI)algorithm to analyze systemic risk attributed to each individual bank via simulations based on real-world data from theFederal Deposit Insurance Corporation. Our research demonstrates the feasibility of modeling and analyzing systemicrisk at the individual bank level in a banking network using a BI-based approach. In terms of business impacts, NARMoffers a new means for predicting contagious bank failures and determining capital injection priorities in the wake offinancial crises. Our simulation study shows that under significant market shocks, the interbank payment relationshipbecomes more influential than the correlated bank portfolio relationship in determining an individual bank’s survival. These insights should help financial regulators devise more effective policies and mechanisms to prevent the collapseof a banking system. Further, NARM and the simulation procedure driven by real-world data proposed in this study haveinstructional value to similar research areas such as bank stress testing, where time series data and business networksmay be studied.articlefinaldeu10009HuDaninghdaning@ifi.uzh.chZhaoJHuaZhiminWongMichael1269-12914360276-7783M I S Research CenteroriginalMIS Quarterlyrefereed2012keininfo2016-04-05 16:08:05merlin-id:683761046conference_itemfinalhttp://www.is.cityu.edu.hk/web2011/http://www.springer.com/series/791110009HuDhdaning@ifi.uzh.chZhaoJHuaZTenth workshop on E-business (WEB 2011)workshopShanghai, ChinapaperoriginalrefereedShanghai, China2011-12-042011-12-05keininfo2016-04-05 15:44:13All papers that are presented in the conference will be published in post-proceedings in Lecture Notes in Business Information Processing (Indexed in ISI proceedings and EI) published by Springer.merlin-id:637260490As cooperation in a networked manner increases via various inter-organizational information systems (IOISs), it is important to choose appropriate IOISs for different types of organizations in the network environment. In this study, we analyzed customer-supplier relationships among organizations in five industries using social network analysis (SNA) methods and empirical data, aiming to help organizations strategically choose appropriate IOISs. Three types of customer-supplier networks were identified based on the network centralization comparison rate: customer-centric, supplier-centric and balanced networks. Based on the empirical findings in our analysis, we then propose strategies about how to choose appropriate IOISs for the firms in these networks and discuss the pros and cons of the choices. To the best of our knowledge, this is the first empirical research that applied SNA methods to study customer-supplier networks in the context of inter-organizational information systems.articlefinaleng10.1007/s10796-010-9245-110009HuDaninghdaning@ifi.uzh.chSunSherry XZhaoJ LeonZhaoXinlei681-6925131387-3326SpringeroriginalInformation Systems Frontiersrefereed2011keininfoapplication/pdfvaliduser

fulltext.pdf

fulltext.pdfapplication/pdf4884812016-04-05 15:42:17ra: akzeptiertes MS angefordertmerlin-id:637360493Micro-blogging is increasingly evolving from a daily chatting tool into a critical platform for individuals and organizations to seek and share real-time news updates during emergencies. However, seeking and extracting useful information from micro-blogging sites poses significant challenges due to the volume of the traffic and the presence of a large body of irrelevant personal messages and spam. In this paper, we propose a novel recommendation framework to overcome this problem. By analyzing information diffusion patterns among a large set of micro-blogs that play the role of emergency news providers, our approach selects a small subset as recommended emergency news feeds for regular users. We evaluate our diffusion-based recommendation framework on Twitter during the early outbreak of H1N1 Flu. The evaluation results show that our method results in more balanced and comprehensive recommendations compared to benchmark approaches.articlefinalenghttp://aisel.aisnet.org/jais/vol12/iss7/2/10009ChenJiesichengj@email.arizona.eduSunRunpuasun@email.arizona.eduHuDaninghdaning@ifi.uzh.chZengDajun463-4867121536-9323Association for Information SystemsoriginalJournal of the Association for Information Systemsrefereed2011keininfoapplication/pdfvaliduser

Cheng_et_al_Micro-blogging.pdf

Cheng_et_al_Micro-blogging.pdfapplication/pdf7940032016-04-05 15:42:17merlin-id:642560492conference_itemfinalenghttp://aisel.aisnet.org/icis2010_submissions/213officialurl10009HuDaninghdaning@ifi.uzh.chZhaoJ LeonHuaZhiminAssociation for Information Systems; AIS Electronic Library (AISeL)International Conference on Information Systems (ICIS) 2010conferenceSaint Louis, Missouri, USApaperoriginalrefereedSt. Louis, USA2010-12-122010-12-15keininfo2016-04-05 15:42:17Hu, Daning; Zhao, J. Leon; and Hua, Zhimin, "RANKING SYSTEMIC RISKS IN BANK NETWORKS" (2010). ICIS 2010 Proceedings. Paper 213.merlin-id:8125conference_itemfinal10009YangXuanHuDaninghdaning@ifi.uzh.chDavisonRobertInternational Conference on Information Systems (ICIS ‘10)conferenceSt. Louis, USApaperoriginalrefereed2010-12-122010-12-15keininfomerlin-id:8126conference_itemfinal10009HuDaninghdaning@ifi.uzh.chZhaoXinleiZhaoLeonthe Hawaii International Conference on System Sciences (HICSS ‘10)conferenceHawaiipaperoriginalrefereed2010-01-052010-01-08keininfomerlin-id:8124conference_itemfinal10009HuDaninghdaning@ifi.uzh.chZhaoLeonInternational Conference on Information Systems (ICIS ‘09)conferencePhoenix, Arizonapaperoriginalrefereed2009-12-152009-12-18keininfomerlin-id:8127conference_itemfinal10009ZhaoLeonFanShaokunHuDaninghdaning@ifi.uzh.chthe 19th Workshop on Information Technologies & Systems (WITS ‘09)workshopPhoenix, Arizonaotheroriginalrefereed2009-12-132009-12-14keininfomerlin-id:637460485Social networks evolve over time with the addition and removal of nodes and links to survive and thrive in their environments. Previous studies have shown that the link-formation process in such networks is influenced by a set of facilitators. However, there have been few empirical evaluations to determine the important facilitators. In a research partnership with law enforcement agencies, we used dynamic social-network analysis methods to examine several plausible facilitators of co-offending relationships in a large-scale narcotics network consisting of individuals and vehicles. Multivariate Cox regression and a two-proportion z-test on cyclic and focal closures of the network showed that mutual acquaintance and vehicle affiliations were significant facilitators for the network under study. We also found that homophily with respect to age, race, and gender were not good predictors of future link formation in these networks. Moreover, we examined the social causes and policy implications for the significance and insignificance of various facilitators including common jails on future co-offending. These findings provide important insights into the link-formation processes and the resilience of social networks. In addition, they can be used to aid in the prediction of future links. The methods described can also help in understanding the driving forces behind the formation and evolution of social networks facilitated by mobile and Web technologies.articlefinal10.1002/asi.2100810009HuDaninghdaning@ifi.uzh.chKazaSiddharthChenHsinchun655-6654600002-8231Wiley-Blackwell / American Society for Information Science and TechnologyoriginalJournal of the American Society for Information Science and Technologyrefereed2009keininfo2013-11-28 00:10:51merlin-id:637560489Today terrorists usually work in network forms to conduct attacks. Terrorist networks remain active and can still function even after being severely damaged by authorities. Analyzing terrorist networks from a dynamic point of view can provide insights about the mechanisms responsible for the survival of terrorist organizations. This paper studies the dynamics of a major international terrorist organization over a 14-year period – the Global Salafi Jihad (GSJ) terrorist network. We found that a scale-free topology gradually emerged as new members joined the GSJ network based on operational needs. In addition, since the network has been experiencing member losses while it grows, we also studied the robustness of the GSJ network. We used a simulation approach to examine its vulnerability to random failures, targeted attacks, and real world authorities' counterattacks. We found that authorities' counterattacks have been rather ineffective in disrupting the terrorist network.articlefinaleng10.2202/1547-7355.147710009XuJieHuDaninghdaning@ifi.uzh.chChenHsinchun1-33161547-7355de GruyteroriginalJournal of Homeland Security and Emergency Managementrefereed2009keininfoapplication/pdfvaliduser

jhsem.2009.6.1.1477.pdf

jhsem.2009.6.1.1477.pdfapplication/pdf8552102012-10-18 05:41:34merlin-id:637660486Nanotechnology research has experienced rapid growth in recent years. Advances in information technology enable efficient investigation of publications, their contents, and relationships for large sets of nanotechnology-related documents in order to assess the status of the field. This paper presents the development of a new knowledge mapping system, called Nano Mapper ( http://nanomapper.eller.arizona.edu ), which integrates the analysis of nanotechnology patents and research grants into a Web-based platform. The Nano Mapper system currently contains nanotechnology-related patents for 1976–2006 from the United States Patent and Trademark Office (USPTO), European Patent Office (EPO), and Japan Patent Office (JPO), as well as grant documents from the U.S. National Science Foundation (NSF) for the same time period. The system provides complex search functionalities, and makes available a set of analysis and visualization tools (statistics, trend graphs, citation networks, and content maps) that can be applied to different levels of analytical units (countries, institutions, technical fields) and for different time intervals. The paper shows important nanotechnology patenting activities at USPTO for 2005–2006 identified through the Nano Mapper system.articlefinal10.1007/s11051-008-9491-zdoi10009LiXinHuDaninghdaning@ifi.uzh.chDangYanChenHsinchunRocoMihailLarsonCatherineChanJoyce529-552111388-0764SpringeroriginalJournal of Nanoparticle Researchrefereed2009keininfo2013-11-27 20:23:30merlin-id:638360491conference_itemfinalhttp://aisel.aisnet.org/icis2008/196officialurl10009HuDaninghdaning@ifi.uzh.chZhaoJ LeonAssociation for Information Systems; AIS Electronic Library (AISeL)International Conference on Information Systems (ICIS)conferenceParis, FrancepaperoriginalrefereedProceeding of International Conference on Information Systems2008-12-142008-12-17keininfo2012-06-29 12:24:12Hu, Daning and Zhao, J. Leon, "Expert Recommendation Via Semantic Social Networks" (2008). ICIS 2008 Proceedings. Paper 196. http://aisel.aisnet.org/icis2008/196merlin-id:8123conference_itemfinal10009HuDaninghdaning@ifi.uzh.chZhangZhuZhaoLeon18th Workshop on Information Technologies & Systems (WITS ‘08), workshopParis, Francepaperoriginalrefereed2008-12-142008-12-17keininfomerlin-id:680961050Workflows have been widely used for coordinating structured processes, whereas group support systems are used to facilitate ad hoc and unstructured collaboration activities. In many business settings, it is beneficial to use both workflows and group support systems. However, how to integrate workflow systems and group support systems have not been well studied in the literature. In this paper, we propose a scalable middleware framework, namely event management system, which can support high-degree decoupling between workflow and groupware. The event management architecture and its main functionalities as well as the implementation techniques are presented. We delineate the applicability of event-based integration by comparing with other integration paradigms.conference_itemfinaleng10.1109/AMIGE.2008.ECP.5810009FanShaokunHuDaninghdaning@ifi.uzh.chZhaoLeon1-5IEEEIEEE Symposium on Advanced Management of Information for Globalized EnterprisesconferenceTianjin, ChinapaperoriginalrefereedTianjin, China2008-09-282008-09-29keininfoapplication/pdfvaliduser

Fan_et_al_Integrating_workflow.pdf

Fan_et_al_Integrating_workflow.pdfapplication/pdf3184542012-10-18 07:10:35merlin-id:8122conference_itemfinal10009HuDaninghdaning@ifi.uzh.chZhaoLeonthe Proceedings of the 14th Americas Conference on Information Systems (AMCIS ‘08)conferenceToronto, ON, Canadapaperoriginalrefereed2008-08-142008-08-17keininfomerlin-id:681267510conference_itemfinalenghttp://eventseer.net/e/161/10009ZhaoJHuDaninghdaning@ifi.uzh.chFanShaokunthe 17th Workshop on Information Technologies & Systems workshopMontréal, Québec, CanadapaperoriginalrefereedMontréal, Québec, Canada2007-12-132007-12-15keininfo2012-11-30 12:56:12merlin-id:8121finaleng10009HuDaninghdaning@ifi.uzh.chSamikarSurendraZhaoLeonInternational Conference on Information Systems (ICIS ‘07)conferenceMontréal, Québec, Canadapaperoriginalrefereed2007-12-092007-12-12keininfomerlin-id:680861045"Dark Networks" refer to various illegal and covert social networks like criminal and terrorist networks. These networks evolve over time with the formation and dissolution of links to survive control efforts by authorities. Previous studies have shown that the link formation process in such networks is influenced by a set of facilitators. However, there have been few empirical evaluations to determine the significant facilitators. In this study, we used dynamic social network analysis methods to examine several plausible link formation facilitators in a large-scale real-world narcotics network. Multivariate Cox regression showed that mutual acquaintance and vehicle affiliations were significant facilitators in the network under study. These findings provide insights into the link formation processes and the resilience of dark networks. They also can be used to help authorities predict co-offending in future crimes.conference_itemfinal10.1109/ISI.2007.37953110009KazaSiddharthHuDaninghdaning@ifi.uzh.chChenHsinchun40-46IEEEthe 5th IEEE Conference on Intelligence and Security InformaticsconferenceNew Brunswick, New JerseypaperoriginalrefereedNew Brunswick, New Jersey2007-05-232007-05-24keininfoapplication/pdfvaliduser

Kaza_et_al_Dynamic_social_network.pdf

Kaza_et_al_Dynamic_social_network.pdfapplication/pdf19036312012-10-18 07:10:28merlin-id:638460488Criminal networks evolve over time with the formation and dissolution of links to survive control efforts by government authorities. Previous studies have shown that the link formation process in such networks is influenced by a set of facilitators. However, there have been few empirical evaluations to determine the significant facilitators. In this study, we used dynamic social network analysis methods to examine several plausible link formation facilitators in a large-scale real-world narcotics network. Multivariate Cox regression showed that mutual acquaintance and vehicle affiliations were significant facilitators in the network under study. The findings shown in this poster can help government authorities automatically predict co-offending relationships in future crimes.conference_itemfinalenghttp://dl.acm.org/citation.cfm?id=1248524&CFID=91984860&CFTOKEN=3697334410009KazaSiddharthHuDaninghdaning@ifi.uzh.chAtabakhshHomaChenHsinchun1-59593-599-1 290-291ACMInternational conference on Digital government researchconferenceUSApaperoriginalrefereedProceedings of the 8th annual international conference on Digital government research2007-05-202007-05-23keininfo2015-08-13 09:56:52Proceedings of the 8th annual international conference on Digital government researchmerlin-id:637760487Academic nanoscale science and engineering (NSE) research provides a foundation for nanotechnology innovation reflected in patents. About 60% or about 50,000 of the NSE-related patents identified by “full-text” keyword searching between 1976 and 2004 at the United States Patent and Trademark Office (USPTO) have an average of approximately 18 academic citations. The most cited academic journals, individual researchers, and research articles have been evaluated as sources of technology innovation in the NSE area over the 28-year period. Each of the most influential articles was cited about 90 times on the average, while the most influential author was cited more than 700 times by the NSE-related patents. Thirteen mainstream journals accounted for about 20% of all citations. Science, Nature and Proceedings of the National Academy of Sciences (PNAS) have consistently been the top three most cited journals, with each article being cited three times on average. There is another kind of influential journals, represented by Biosystems and Origin of Life , which have very few articles cited but with exceptionally high frequencies. The number of academic citations per year from ten most cited journals has increased by over 17 times in the interval (1990–1999) as compared to (1976–1989), and again over 3 times in the interval (2000–2004) as compared to (1990–1999). This is an indication of increased used of academic knowledge creation in the NSE-related patents.articlefinal10.1007/s11051-007-9215-9doi10009HuDaninghdaning@ifi.uzh.chChenHsinchunHuangZanRocoMihail529-542491388-0764SpringeroriginalJournal of Nanoparticle Researchrefereed2007keininfo2013-11-27 23:22:20merlin-id:681361047It is very important for us to understand the functions and structures of terrorist networks to win the battle against terror. However, previous studies of terrorist network structure have generated little actionable results. This is mainly due to the difficulty in collecting and accessing reliable data and the lack of advanced network analysis methodologies in the field. To address these problems, we employed several advance network analysis techniques ranging from social network analysis to Web structural mining on a Global Salafi Jihad network dataset collected through a large scale empirical study. Our study demonstrated the effectiveness and usefulness of advanced network techniques in terrorist network analysis domain. We also introduced the Web structural mining technique into the terrorist network analysis field which, to the best our knowledge, has never been used in this domain. More importantly, the results from our analysis provide not only insights for terrorism research community but also empirical implications that may help law-reinforcement, intelligence, and security communities to make our nation safer. conference_itemfinaleng10.1007/11427995_2410009QinJialunXuJieHuDaninghdaning@ifi.uzh.chSagemanMarcChenHsinchun978-3-540-25999-20302-9743287-304Springer the 3rd IEEE Conference on Intelligence and Security Informatics conference Atlanta, Georgia, USApaperoriginalrefereed Atlanta, Georgia, USA3495Lecture Notes in Computer Science2005-05-182005-05-19keininfo2012-11-23 13:08:54