Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures by Stefano Bennati, Ivana Dusparic, Rhythima Shinde, Catholijn M. Jonker

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Graph Learning for Fake Review Detection by Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia

“…To this end, effective fake review detection has become an emerging research area that attracts increasing attention from various disciplines like network science, computational social science, and data science. An important line of research in fake review detection is to utilize graph learning methods, which incorporate both the attribute features of reviews and their relationships into the detection process. …”
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Understanding Parental Attitudes toward Vaccination: Comparative Assessment of a New Tool and Its Trial on a Representative Sample in Hungary by Zsófia Gács, Júlia Koltai

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Social Media Geographic Information in Tourism Planning by Roberta Floris, Michele Campagna

“…The case study demonstrates the value of social media data and computational social science techniques in tourism planning. …”
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<i>AirKit</i>: A Citizen-Sensing Toolkit for Monitoring Air Quality by Sachit Mahajan, Jennifer Gabrys, Joanne Armitage

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Weighted network motifs as random walk patterns by Francesco Picciolo, Franco Ruzzenenti, Petter Holme, Rossana Mastrandrea

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Grounded reality meets machine learning: a deep-narrative analysis framework for energy policy research. by Debnath, R, Darby, S, Bardhan, R, Mohaddes, K, Sunikka-Blank, M

“…We verify theoretical compatibility through a meta-analysis of a state-of-the-art bibliographic database on energy policy, narratives and computational social science. Furthermore, we establish a proof-of-concept using a narrative-based case study on energy externalities in slum rehabilitation housing in Mumbai, India. …”

Words against injustices: a deep narrative analysis of energy cultures in poverty of Abuja, Mumbai and Rio de Janeiro by Debnath, R, Bardhan, R, Darby, S, Mohaddes, K, Sunikka-Blank, M, Coelho, ACV, Isa, A

“…It employed a computational social science methodology that used textual analysis, followed by a constructivist grounded theoretic approach to inform just policy design. …”

How social media crisis response and social interaction is helping people recover from Covid-19: an empirical investigation by Bukar, Umar Ali, A. Jabar, Marzanah, Sidi, Fatimah, Nor, R. N. H., Abdullah, Salfarina, Ishak, Iskandar

Behavioral attributes and financial churn prediction by Erdem Kaya, Xiaowen Dong, Yoshihiko Suhara, Selim Balcisoy, Burcin Bozkaya, Alex “Sandy” Pentland

“…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. …”
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A Dynamic Urban Mobility Index from Clustering of Vehicle Speeds in a Tourist-Heavy City by Marissa Liponhay, Jesus Felix Valenzuela, Michael Dorosan, Damian Dailisan, Christopher Monterola

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Achieving stepwise construction of cyber physical systems in EX-MAN component model by Tauseef Rana, Ayesha Maqbool, Toqir A. Rana, Alina Mirza, Zeshan Iqbal, Muhammad Attique Khan, Majed Alhaisoni, Abdullah Alqahtani, Ye Jin Kim, Byoungchol Chang

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Multi-Agent Based Stochastic Dynamical Model to Measure Community Resilience by Jaber Valinejad, Lamine Mili, C. Natalie Van Der Wal

“…It turns out that in computational social science literature dealing with community resilience, the role of these critical infrastructures along with some important social characteristics is not considered. …”
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Social diffusion sources can escape detection by Marcin Waniek, Petter Holme, Manuel Cebrian, Talal Rahwan

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Are the different layers of a social network conveying the same information? by Ajaykumar Manivannan, W. Quin Yow, Roland Bouffanais, Alain Barrat

“…Abstract Comprehensive and quantitative investigations of social theories and phenomena increasingly benefit from the vast breadth of data describing human social relations that is now available within the realm of computational social science. Such data are, however, typically proxies for one of the many interaction layers composing social networks, which can be defined in many ways and are composed of communication of various types (e.g., phone calls, face-to-face communication, etc.). …”
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Social Simulation of Intergroup Conflicts Using a New Model of Opinion Dynamics by Akira Ishii, Akira Ishii, Nozomi Okano, Masaru Nishikawa

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How different are offline and online diplomacy? A comparative analysis of public statements and SNS posts by delegates to the United Nations by Takuto Sakamoto, Takuto Sakamoto, Momoko Araki, Hiroto Ito, Tomoyuki Matsuoka

“…The central inquiry revolves around how diplomatic actors use digital tools to complement or augment traditional face-to-face diplomacy.MethodsWe systematically compare a substantial corpus of X posts (tweets) from UN diplomats with their public statements at the United Nations Security Council (UNSC), employing advanced computational social science techniques. This study applies a range of large-scale text analysis methods, including word embedding, topic modeling, and sentiment analysis, to investigate systematic differences between offline and online communication.ResultsOur analysis reveals that, while the essence of diplomacy remains consistent across both domains, there is strategic selectivity in the use of online platforms by diplomats. …”
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PersoNet: A Novel Framework for Personality Classification-Based Apt Customer Service Agent Selection by Lidia Sandra, Harjanto Prabowo, Ford Lumban Gaol, Sani Muhamad Isa

“…Personality classification has garnered significant interest in psychology, computational social science, and Machine Learning (ML) due to its wide-ranging applications. …”
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Suicide Risk and Protective Factors in Online Support Forum Posts: Annotation Scheme Development and Validation Study by Stevie Chancellor, Steven A Sumner, Corinne David-Ferdon, Tahirah Ahmad, Munmun De Choudhury

“…This may help public health programming to prevent suicide and computational social science research and investigations that rely on the quality of labels for downstream machine learning tasks.…”
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Key Decision-Makers and Persuaders in the Selection of Energy-Efficient Technologies in EU Residential Buildings by Clara Camarasa, Raphael Heiberger, Lena Hennes, Martin Jakob, York Ostermeyer, Leonardo Rosado

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