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New & Forthcoming Titles | Lecture Notes in Social Networks ( Miscellaneous)

Lecture Notes in Social Networks

Lecture Notes in Social Networks

Series Editors: Alhajj, R., Glässer, U., Liu, H., Zeng, D.

ISSN: 2190-5428

Meet the Series Editors and Advisory Board

Series Founded by Reda Alhajj and Uwe Glaesser 

Reda Alhajj 

Series Editor

Reda Alhajj, Editor-in-Chief
A Professor in the Department of Computer Science at the University of Calgary.
He published over 400 papers in reputable journals and fully refereed international conferences. He served as program chair of several conferences and on the program committee of large number of International conferences including IEEE ICDE, IEEE ICDM, IEEE IAT, IEEE WI, SIAM DM, AAAI, IJCAI, etc. He also served as guest editor of several special issues and is currently the program chair of IEEE IRI 2011, CaSoN 2011, ASONAM 2011, IEEE HPPC 2011, OSINT-WM 2011, BIBM 2012, BICOB 2012. He is on the editorial board of several journals; he associate editor of IEEE SMC- Part C. He is editor in chief of the SNAM Journal, the NeMAHIB Journal and the Lecture Notes in Social Networks series by Springer.
He frequently gives invited talks in North America, Europe and the Middle East. Dr. Alhajj has a large research group which in 2012 had 10 PhD and 8 MSc students working primarily in the areas of biocomputing and biodata analysis, data mining, multiagent systems, schema integration and re-engineering, social networks and XML. He received Outstanding Achievements in Supervision Award from the Faculty of Graduate Studies at the University of Calgary. He closely collaborates with RBC Canada.He is married and has three daughters and two sons.

Uwe Glässer 

Series Editor

Uwe Glaesser
A Professor of Computing Science, Simon Fraser University, Canada. He is a former director of the School of Computing Science, former co-director of the Interdisciplinary Research in the Mathematical and Computational Sciences (IRMACS) Centre and founding director of the Software Technology Lab at Simon Fraser University. He received his doctoral degree in computer science from University of Paderborn, Germany. Prior to his current appointment, he held academic positions at University of Paderborn, worked for the International Telecommunication Union, Geneva and Microsoft Research, Redmond, WA.
His research interests are in applied computer science, spanning three fields: industrial applications of formal methods, software technology for intelligent systems, computational criminology and security informatics. More recent work focuses on modeling of complex social systems: ambient assistive living, computer models in the study of crime and criminal network analysis.

Daniel Zeng  

Series Editor

Daniel Zeng
He received the M.S. and Ph.D. degrees in industrial administration from Carnegie Mellon University and the B.S. degree in economics and operations research from the University of Science and Technology of China, Hefei, China. He is a Research Professor at the Chinese Academy of Sciences and has been affiliated with the Department of Management Information Systems at the University of Arizona. Zeng's research interests include intelligence and security informatics, infectious disease informatics, social computing, recommender systems, software agents, spatial-temporal data analysis, business analytics, and online advertising. He has published one monograph and 220 peer-reviewed articles. Professor Zeng has co-edited 19 books and conference proceedings, and chaired more than 30 technical conferences or workshops including the IEEE International Conference on Intelligence and Security Informatics (ISI), the Biosurveillance and Biosecurity Workshop (BioSecure), and the International Workshop on Social Computing (SOCO). He also served as a co-guest editor for 9 journal special issues. He is the editor-in-chief of IEEE Intelligent Systems and serves on editorial boards of 14 Information Technology and Information Systems related journals, including INFORMS Journal on Computing, ACM Transactions on Management Information Systems, Decision Support Systems, Information and Management, among others. He is also active in information systems and public health informatics professional activities and is Vice President for Publications Activities for the IEEE Intelligent Transportation Systems Society and the past Chair of INFORMS College on Artificial Intelligence.
Zeng’s research has been mainly funded by the U.S. National Science Foundation, the U.S. Department of Homeland Security, the National Natural Science Foundation of China, and the Ministry of Health of China. As PI or co-PI, he has received more than $11 million government research support. A 2011 survey published in the ACM Transactions on Management Information Systems placed him among top 20 scholars in the world in the field of information systems, ranked by productivity rate (defined as H-index divided by the post-Ph.D. working years).

Huan Liu 

Series Editor

Huan Liu
A professor of Computer Science and Engineering at Arizona State University. He obtained his Ph.D. in Computer Science at University of Southern California and B.Eng. in Computer Science and Electrical Engineering at Shanghai JiaoTong University. Before he joined ASU, he worked at Telecom Australia Research Labs and was on the faculty at National University of Singapore. He was recognized for excellence in teaching and research in Computer Science and Engineering at Arizona State University.
His research interests are in data mining, machine learning, social computing, and artificial intelligence, investigating problems that arise in many real-world, data-intensive applications with high-dimensional data of disparate forms such as social media.
His well-cited publications include books, book chapters, encyclopedia entries as well as conference and journal papers. He serves on journal editorial boards and numerous conference program committees, and is a founding organizer of the International Conference Series on Social Computing, Behavioral-Cultural Modeling, and Prediction. He is an IEEE Fellow and an ACM Distinguished Scientist. Updated information can be found at

Advisory Board 

Click the names to expand:

Charu Aggarwal 

Charu Aggarwal
A Research Scientist at the IBM T. J. Watson Research Center in Yorktown Heights, New York. He completed his B.S. from IIT Kanpur in 1993 and his Ph.D. from Massachusetts Institute of Technology in 1996. His research interest during his Ph.D. years was in combinatorial optimization (network flow algorithms), and his thesis advisor was Professor James B. Orlin . He has since worked in the field of performance analysis, databases, and data mining.
He has published over 200 papers in refereed conferences and journals, and has applied for or been granted over 80 patents. Because of the commercial value of the above-mentioned patents, he has received several invention achievement awards and has thrice been designated a Master Inventor at IBM. He is a recipient of an IBM Corporate Award (2003) for his work on bio-terrorist threat detection in data streams, a recipient of the IBM Outstanding Innovation Award (2008) for his scientific contributions to privacy technology, and a recipient of an IBM Research Division Award (2008) for his scientific contributions to data stream research.
He has served on the program committees of most major database/data mining conferences, and served as program vice-chairs of the SIAM Conference on Data Mining , 2007, the IEEE ICDM Conference, 2007, the WWW Conference 2009, and the IEEE ICDM Conference, 2009. He served as an associate editor of the IEEE Transactions on Knowledge and Data Engineering Journal from 2004 to 2008. He is an associate editor of the ACM TKDD Journal , an action editor of the Data Mining and Knowledge Discovery Journal , an associate editor of the ACM SIGKDD Explorations, and an associate editor of the Knowledge and Information Systems Journal. He is a fellow of the IEEE for "contributions to knowledge discovery and data mining techniques", and a life-member of the ACM.

Patricia Brantingham  

Dr. Brantingham is a Professor in the School of Criminology at Simon Fraser University. She is RCMP University Professor of Computational Criminology, Director of the Institute for Canadian Urban Research Studies (ICURS) and Associate Member of the School of Computing Science at Simon Fraser University. ICURS is the leader of an international collaboration effort in computational criminology that links 14 university research laboratories around the world.
Dr. Brantingham is a founder of the field of Environmental Criminology that focuses of the physical and social environment, the backcloth for everyday activities for all people in an urban setting, including both people who occasionally commit a crime during a normal daily living and highly repetitive offenders. Environmental Criminology led to the development of Computational Criminology that uses innovative computational approaches to understand better the crime attractors and crime generators of a city or what could be called that peaks and ridges in the topography of crime.
As Director of ICURS she leads a large university research centre that, among other things, functions under an MOU between Simon Fraser University, the BC Ministry of Justice and E division of the RCMP. ICURS engages in independent research exploring how to reduce crime while improving urban quality of life. This is particularly important as Canada ages demographically and increases its urban density. She is the author or editor of two dozen books and scientific monographs and more than 100 articles and scientific papers. She is known widely for development of crime pattern theory and has been keynote speaker on computational criminology at major conferences in Australia, Chile, and Greece as well as Canada. She has twice been keynote speaker at the US National Institute of Justice Crime Mapping Conferences. Her current research includes the analysis of offender travel directionality and the use of new algorithms for understanding the structure of crime patterns.

Thilo Gross 

Thilo Gross
Received his received his PhD (summa cum laude), from the University of Oldenburg in 2004. After Postdoctoral work in Potsdam and Princeton he became Group Leader in the Max Planck Institute for the Physics of Complex Systems in Dresden, in 2007 and Senior Lecturer at the University of Bristol in 2011, where he presently holds a readership. He has held prestigious scholarships of the German National Merit foundation and the Alexander von Humboldt foundation.
The work of Thilo Gross focuses on combining nonlinear dynamics and complex network theory. He has developed several approaches for analyzing the dynamics of complex networks. In particular he is well known for the development of generalized modelling and his works on adaptive networks, both of which have led to recent publications in Science. A major focus of his work is to understand the emergence of cooperation, coordination, and consensus among humans.

Jiawei Han 

Han Jiawei
An Abel Bliss Professor of Engineering, in the Department of Computer Science at the University of Illinois. He has researched into data mining, information network analysis, and database systems, with over 600 publications. He served as the founding Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data (TKDD) and on the editorial boards of several other journals.
Jiawei has received IBM Faculty Awards, ACM SIGKDD Innovation Award (2004), IEEE Computer Society Technical Achievement Award (2005), IEEE Computer Society W. Wallace McDowell Award (2009), and Daniel C. Drucker Eminent Faculty Award at UIUC (2011). He is a Fellow of ACM and a Fellow of IEEE. He is currently the Director of Information Network Academic Research Center (INARC) supported by the Network Science-Collaborative Technology Alliance (NS-CTA) program of U.S. Army Research Lab. His co-authored textbook "Data Mining: Concepts and Techniques" (Morgan Kaufmann) has been adopted worldwide.

Raul Manasevich 

Raul Manasevich
A Professor of Mathematics at the Mathematical and Physical Sciences Faculty of the University of Chile at Santiago. He is the director of the interdisciplinary Center for Analysis and Modeling of Security at the University of Chile. He received his M.S. and PhD degrees in Engineering Sciences from the University of California at Berkeley. He obtained a Civil Engineering degree from the University of Chile where he is a member of the Mathematical Engineering Department and a researcher of the Center (of excellence) for the Mathematical Modeling (CMM) of the University of Chile where he has been instrumental in developing the blend of pure and applied mathematics of the CMM. He is a member of many editorial boards of research journals and also a member of the Chilean Academy of Sciences.
His research interests are nonlinear analysis, differential equations, including fundamental research as well as industrial applications. He has published numerous papers in prestigious journals and has been co-editor of several books and conference proceedings. Recent work includes application of nonlinear analysis to establishing qualitative and quantitative properties for some burglary models. Manasevich’s research has been mainly funded by the Chilean agencies Conicyt and Millennium Science initiative.

Anthony Masys 

Anthony Masys
A Defence Scientist for the Department of National Defence, Defence Research and Development Canada, Centre for Security Science. He is currently assigned as Scientific Advisor to the Royal Canadian Mounted Police (RCMP).
In addition to his duties as a defence scientist supporting the safety and security domains, Dr Masys is also an associate tutor for the Distance MSc Program on Risk Crisis and Disaster Management at the University of Leicester (UK) and has also been appointed as Adjunct Faculty at York University (Toronto) within the Disaster Management Graduate Program.
A former senior Air Force Officer, Dr Masys has a BSc in Physics and MSc in Underwater Acoustics and Oceanography from the Royal Military College of Canada and a PhD from University of Leicester (UK).
He has published extensively in the domains of physics and the social sciences. His research interests focus on complexity science, network analysis, human security, complex socio-technical systems, human error, systems thinking, risk, crisis and disaster management, knowledge management and organizational learning.

Carlo Morselli 

Carlo Morselli
A Professor at the School of Criminology, Université de Montréal, he teaches courses and pursues research in the areas of criminal networks, illegal markets, co-offending, organized crime, and general criminology.
He is the author of Inside Criminal Networks (2009, New York: Springer) and Contacts, Opportunities, and Criminal Enterprise (2005, Toronto: University of Toronto Press). He is also the author of several articles in journals such as Criminology, Journal of Research in Crime and Delinquency, Critical Criminology, Crime, Law, and Social Change, and Social Networks. Morselli's work has also had an impact in practical settings, with several reports prepared for Justice Canada, Public Safety Canada, and the Quebec Ministry of Public Security.

Rafael Wittek 

Rafael Wittek
A professor of theoretical sociology, chairing the Department of Sociology, University of Groningen since 2001. Since 2006 he is the scientific director of the Interuniversity Center for Social Science Theory and Methodology (ICS), a graduate school and research center in which the Universities of Groningen, Utrecht and Nijmegen collaborate.
He taught at Cornell University and the University of Erlangen-Nurnberg, and held guest professorships at the Federal Institute of Technology (ETH) Zurich, and the University of Lugano. He is the current chair of the Rationality and Society Section of the American Sociological Association, and past chair and board member of the Research Committee 45 on Rational Choice of the International Sociological Association. He was one of the core members of the sub-program on Social Relations of the ESF initiative Quantitative Methods in the Social Sciences (QMSSI and II).
In 2001 he received a large mid-career grant of the Dutch Organization for Scientific Research (NWO) to study the dynamics of organizational change. His current research focusses on intra-organizational network dynamics. Building on longitudinal network data collected in several organizations, he studies how networks evolve and what kind of consequences they have for organizational processes, including gossip, voice, and status construction.

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