Nikan Chavoshi is a Ph.D. student at the computer science department of the University of New Mexico. Before starting her Ph.D., she got her M.S. and B.S. degrees from Amirkabir University of Technology in Tehran, Iran. Her research interest is in time series mining and temporal behavior analysis in social media. She has published articles in WWW, ICDM, SocInfo and KAIS.

Hossein Hamooni is a Ph.D. candidate at the computer science department of the University of New Mexico. He earned his M.S. and B.S. degrees from Amirkabir University of Technology in Tehran, Iran. His research interest includes distributed knowledge discovery algorithms and social media analysis. He has published multiple articles in ICDM, CIKM, SocInfo and KAIS.

Amanda J. Minnich is PhD candidate in computer science at the University of New Mexico. She is an NSF Graduate Research Fellow and a Programs in Interdisciplinary Biological and Biomedical Sciences Fellow. Amanda holds a BA in Integrative Biology from UC Berkeley and an MS in CS from UNM. Amanda's current research focuses on identifying spam, fraud, and bots in social media data. She has published articles in top data mining conferences, such as WWW, ASONAM, and ICDM.

Noor Abu-El-Rub is a PhD student in the Computer Science department at University of New Mexico. She received my BS and MS degrees in computer science from Jordan University of Science and Technology. Her Research Interests include Social Networks and Data Mining. More specifically, her focus on finding fraudulent and unusual behaviors for abusing review systems, by applying statistical analysis and graph mining techniques.

Abdullah Mueen is an Assistant Professor of computer science in the University of New Mexico. He obtained Ph.D. degree in 2012 from the Uni versity of California, Riverside. His research interest includes large scale heterogeneous data mining with a focus on spatio-temporal data. He has won runner-up in the dissertation contest at SIGKDD 2012 and won the best paper award in the same conference. He has published articles in top data mining venues including KDD, ICDM, SDM and SIGMOD.