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pro vyhledávání: '"Mutlu, Ece A"'
Information spreading social media platforms has become ubiquitous in our lives due to viral information propagation regardless of its veracity. Some information cascades turn out to be viral since they circulated rapidly on the Internet. The uncontr
Externí odkaz:
http://arxiv.org/abs/2008.12723
Autor:
Mutlu, Ece Çiğdem, Oghaz, Toktam A., Jasser, Jasser, Tütüncüler, Ege, Rajabi, Amirarsalan, Tayebi, Aida, Ozmen, Ozlem, Garibay, Ivan
At the time of this study, the SARS-CoV-2 virus that caused the COVID-19 pandemic has spread significantly across the world. Considering the uncertainty about policies, health risks, financial difficulties, etc. the online media, specially the Twitte
Externí odkaz:
http://arxiv.org/abs/2009.01188
For years, many studies employed sentiment analysis to understand the reasoning behind people's choices and feelings, their communication styles, and the communities which they belong to. We argue that gaining more in-depth insight into moral dimensi
Externí odkaz:
http://arxiv.org/abs/2004.13142
Autor:
Mutlu, Ece Çiğdem, Garibay, Ivan
Despite the widespread use of Barabasi's scale-free networks and Erdos-Renyi networks of which degree correlation (assortativity) is neutral, numerous studies demonstrated that online social networks tend to show assortative mixing (positive degree c
Externí odkaz:
http://arxiv.org/abs/2004.13131
Online social media platforms are turning into the prime source of news and narratives about worldwide events. However,a systematic summarization-based narrative extraction that can facilitate communicating the main underlying events is lacking. To a
Externí odkaz:
http://arxiv.org/abs/2004.06793
Autor:
Mutlu, Ece C., Garibay, Ivan
With the rapid growth of online social media, people become increasingly overwhelmed by the volume and the content of the information present in the environment. The threshold model is currently one of the most common methods to capture the effect of
Externí odkaz:
http://arxiv.org/abs/2003.11671
Autor:
Garibay, Ivan, Oghaz, Toktam A., Yousefi, Niloofar, Mutlu, Ece C., Schiappa, Madeline, Scheinert, Steven, Anagnostopoulos, Georgios C., Bouwens, Christina, Fiore, Stephen M., Mantzaris, Alexander, Murphy, John T., Rand, William, Salter, Anastasia, Stanfill, Mel, Sukthankar, Gita, Baral, Nisha, Fair, Gabriel, Gunaratne, Chathika, Hajiakhoond, Neda B., Jasser, Jasser, Jayalath, Chathura, Newton, Olivia, Saadat, Samaneh, Senevirathna, Chathurani, Winter, Rachel, Zhang, Xi
This paper explains the design of a social network analysis framework, developed under DARPA's SocialSim program, with novel architecture that models human emotional, cognitive and social factors. Our framework is both theory and data-driven, and uti
Externí odkaz:
http://arxiv.org/abs/2003.11611
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Link prediction in complex networks has attracted considerable attention from interdisciplinary research communities, due to its ubiquitous applications in biological networks, social networks, transportation networks, telecommunication networks, and
Externí odkaz:
http://arxiv.org/abs/1901.03425
Autor:
Alakent, Burak, Mutlu, Ece C.
Maintaining the quality of manufactured products at a desired level is known to increase customer satisfaction and profitability. Shewhart control chart is the most widely used in statistical process control (SPC) technique to monitor the quality of
Externí odkaz:
http://arxiv.org/abs/1812.11132