<i>Vayu</i>: An Open-Source Toolbox for Visualization and Analysis of Crowd-Sourced Sensor Data by Sachit Mahajan

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Identifying the temporal dynamics of densification and sparsification in human contact networks by Shaunette T. Ferguson, Teruyoshi Kobayashi

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On the privacy-conscientious use of mobile phone data by de Montjoye, Yves-Alexandre, Gambs, Sébastien, Blondel, Vincent, Canright, Geoffrey, de Cordes, Nicolas, Deletaille, Sébastien, Engø-Monsen, Kenth, Garcia-Herranz, Manuel, Kendall, Jake, Kerry, Cameron, Krings, Gautier, Letouze, Emmanuel F, Luengo-Oroz, Miguel, Oliver, Nuria, Rocher, Luc, Rutherford, Alex, Smoreda, Zbigniew, Steele, Jessica, Wetter, Erik, Pentland, Alex Paul, Bengtsson, Linus

“…Researchers have compared the recent availability of large-scale behavioral datasets, such as the ones generated by mobile phones, to the invention of the microscope, giving rise to the new field of computational social science.…”
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Rhythm: A Unified Measurement Platform for Human Organizations by Lederman, Oren, Mohan, Akshay, Calacci, Dan, Pentland, Alex Sandy

“…We describe two pilot studies that use this platform and discuss how measurement systems like Rhythm may further the fields of computational social science and organizational design.…”
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Mitigation strategies against cascading failures within a project activity network by Nicolaides, Christos

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An Opinion Facilitator for Online News Media by Tom Willaert, Paul Van Eecke, Jeroen Van Soest, Katrien Beuls

“…Finally, we relate our findings to the context of the development of computational social science, and discuss pathways for the evaluation of the instrument, as well as for the future upscaling of qualitative analyses and close readings.…”
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Predicting anxiety using Google and Youtube digital traces by Joshua Rochotte, Aniket Sanap, Vincent Silenzio, Vivek K. Singh

“…This study contributes to the field of computational social science and digital mental health and demonstrates the potential of using online behavior data to monitor psychological well-being and design interventions for anxiety.…”
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How Complexity and Uncertainty Grew with Algorithmic Trading by Martin Hilbert, David Darmon

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Design and development of an open-source framework for citizen-centric environmental monitoring and data analysis by Sachit Mahajan

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Building Textual Fuzzy Interpretive Structural Modeling to Analyze Factors of Student Mobility Based on User Generated Content by Ronak Razavisousan, Karuna Pande Joshi

“…We have developed a novel methodology, called Textual Fuzzy Interpretive Structural Modeling (TFISM), that automatically analyses large textual datasets to identify the internal and external relationships between management or decision-making problems. This computational social science methodology enhances Interpretive Structural Modeling (ISM) approaches to allow the input to be textual data. …”
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Bots as Virtual Confederates: Design and Ethics by Krafft, Peter, Macy, Michael, Pentland, Alexander Sandy

“…The use of bots as virtual confederates in online field experiments holds extreme promise as a new methodological tool in computational social science. However, this potential tool comes with inherent ethical challenges. …”
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MemeSequencer: Sparse Matching for Embedding Image Macros by Dubey, Abhimanyu, Moro, Esteban, Cebrian, Manuel, Rahwan, Iyad

“…The analysis of the creation, mutation, and propagation of social media content on the Internet is an essential problem in computational social science, affecting areas ranging from marketing to political mobilization. …”
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Behavioral attributes and financial churn prediction by Kaya, E, Dong, X, Suhara, Y, Balcisoy, S, Bozkaya, B, Pentland, A

“…Inspired by previous works in the emerging field of computational social science, we built a prediction model based on spatio-temporal and choice behavioral traits using individual transaction records. …”

Stitching together the heterogeneous party: A complementary social data science experiment by Anders Blok, Hjalmar B Carlsen, Tobias B Jørgensen, Mette M Madsen, Snorre Ralund, Morten A Pedersen

“…The era of ‘big data’ studies and computational social science has recently given rise to a number of realignments within and beyond the social sciences, where otherwise distinct data formats – digital, numerical, ethnographic, visual, etc. – rub off and emerge from one another in new ways. …”
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A Technological Perspective on Information Cascades via Social Learning by Fernando Rosas, Jen-Hao Hsiao, Kwang-Cheng Chen

“…Finally, potential applications and examples of information cascade have been presented under various cyber technological scenarios, illustrating the prolific interplay between communication technology and computational social science.…”
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Evoplex: A platform for agent-based modeling on networks by Marcos Cardinot, Colm O’Riordan, Josephine Griffith, Matjaž Perc

“…Evoplex is ideal for modeling complex systems, for example in evolutionary game theory and computational social science. In Evoplex, the models are not coupled to the execution parameters or the visualization tools, and there is a user-friendly graphical interface which makes it easy for all users, ranging from newcomers to experienced, to create, analyze, replicate and reproduce the experiments. …”
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Identifying Depression-Related Behavior on Facebook—An Experimental Study by Zoltán Kmetty, Károly Bozsonyi

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Covid-19 Protesters and the Far Right on Telegram: Co-Conspirators or Accidental Bedfellows? by Cliona Curley, Eugenia Siapera, Joe Carthy

“…Empirically, the article focused on Irish Telegram groups and channels, identifying relevant protest movements and collecting their posts. Using computational social science methods, we examine whether far-right terms and discourses are present and how this varies across different clusters of Telegram Covid-19 protest groups. …”
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HyAdamC: A New Adam-Based Hybrid Optimization Algorithm for Convolution Neural Networks by Kyung-Soo Kim, Yong-Suk Choi

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Our Scholarly 'Pivot To Asia' by Xu, Weiai Wayne

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