02250nas a2200193   4500008004100000245009000041210006900131260000900200300001200209490000700221520168100228653001501909653000801924100002001932700001701952700002001969700001901989856004802008       2009                        eng d00aTopological Analysis of Criminal Activity Networks: Enhancing Transportation Security0 aTopological Analysis of Criminal Activity Networks Enhancing Tra  c2009  a83 - 910 v103 aThe security of border and transportation systems is a critical component of the national strategy for homeland security. The security concerns at the border are not independent of law enforcement in border-area jurisdictions because the information known by local law enforcement agencies may provide valuable leads that are useful for securing the border and transportation infrastructure. The combined analysis of law enforcement information and data generated by vehicle license plate readers at international borders can be used to identify suspicious vehicles and people at ports of entry. This not only generates better quality leads for border protection agents but may also serve to reduce wait times for commerce, vehicles, and people as they cross the border. This paper explores the use of criminal activity networks (CANs) to analyze information from law enforcement and other sources to provide value for transportation and border security. We analyze the topological characteristics of CAN of individuals and vehicles in a multiple jurisdiction scenario. The advantages of exploring the relationships of individuals and vehicles are shown. We find that large narcotic networks are small world with short average path lengths ranging from 4.5 to 8.5 and have scale-free degree distributions with power law exponents of 0.85–1.3. In addition, we find that utilizing information from multiple jurisdictions provides higher quality leads by reducing the average shortest-path lengths. The inclusion of vehicular relationships and border-crossing information generates more investigative leads that can aid in securing the border and transportation infrastructure.10aAccounting10aBIS1 aKaza, Siddharth1 aXu, Jennifer1 aMarshall, Byron1 aChen, Hsinchun  uhttp://dx.doi.org/10.1109/TITS.2008.201169500624nas a2200169   4500008004100000245010200041210006900143260000900212300001500221490000600236653000800242100001700250700001900267700001500286700001800301856013500319       2007                        eng d00aComplex problem solving: A case study on identity matching based on social contextual information0 aComplex problem solving A case study on identity matching based   c2007  aArticle 310 v810aBIS1 aXu, Jennifer1 aWang, Alan, G.1 aLi, Jiexun1 aChau, Michaul  u/biblio/complex-problem-solving-case-study-identity-matching-based-social-contextual-information-000666nas a2200229   4500008004100000245004700041210004600088260002700134653000800161100001700169700001900186700002100205700001400226700001400240700001400254700001500268700001500283700001700298700002100315700001400336856008600350       2003                        eng d00aGenescene: Biomedical text and data mining0 aGenescene Biomedical text and data mining  aHouston, TX, USAc200310aBIS1 aLeroy, Gondy1 aChen, Hsinchun1 aMartinez, Jessie1 aEggers, S1 aFalsey, R1 aKislin, K1 aHuang, Zan1 aLi, Jiexun1 aXu, Jennifer1 aMcDonald, Daniel1 aNg, Gavin  u/biblio/genescene-biomedical-text-and-data-mining