Results 51 to 60 of about 626,067 (181)

Simplifying Parallelization of Scientific Codes by a Function-Centric Approach in Python

, 2010
The purpose of this paper is to show how existing scientific software can be parallelized using a separate thin layer of Python code where all parallel communication is implemented.
Cai, Xing, Hoyland, Bjorn, Langtangen, Hans Petter, Nilsen, Jon K.   +3 more
core   +1 more source

Predicting human preferences using the block structure of complex social networks [PDF]

, 2012
With ever-increasing available data, predicting individuals' preferences and helping them locate the most relevant information has become a pressing need.
Guimera, Roger, Llorente, Alejandro, Moro, Esteban, Sales-Pardo, Marta   +3 more
core   +3 more sources

How voting rules impact legitimacy

Humanities & Social Sciences Communications
Collective action is essential for addressing the grand challenges of our time. However, for such action to be successful, decision-making processes must be perceived as legitimate. In this study, we investigate the legitimacy of different voting methods.
Carina I. Hausladen, Regula Hänggli Fricker, Dirk Helbing, Renato Kunz, Junling Wang, Evangelos Pournaras   +5 more
doaj   +1 more source

Reformulating computational social science with citizen social science: the case of a community-based mental health care research

Humanities & Social Sciences Communications, 2023
Computational social science is being scrutinised and some concerns have been expressed with regards to the lack of transparency and inclusivity in some of the researches.
Isabelle Bonhoure, Anna Cigarini, Julián Vicens, Bàrbara Mitats, Josep Perelló   +4 more
doaj   +1 more source

Exploring systemic effects of the friendship paradox on social network participation

Applied Network Science
The friendship paradox states that, on average, people have fewer friends than their friends do. This can lead to social perception biases, such as the belief that one’s friends are more socially engaged than oneself.
Ahmed Medhat, Shankar Iyer
doaj   +1 more source

Computational Social Science of Disasters: Opportunities and Challenges

Future Internet, 2019
Disaster events and their economic impacts are trending, and climate projection studies suggest that the risks of disaster will continue to increase in the near future.
Annetta Burger, Talha Oz, William G. Kennedy, Andrew T. Crooks   +3 more
doaj   +1 more source

Using Text Similarity to Detect Social Interactions not Captured by Formal Reply Mechanisms

, 2016
In modeling social interaction online, it is important to understand when people are reacting to each other. Many systems have explicit indicators of replies, such as threading in discussion forums or replies and retweets in Twitter.
Barbosa, Samuel, Cesar-Jr, Roberto M., Cosley, Dan   +2 more
core   +1 more source

Distributed Computing with Adaptive Heuristics [PDF]

, 2010
We use ideas from distributed computing to study dynamic environments in which computational nodes, or decision makers, follow adaptive heuristics (Hart 2005), i.e., simple and unsophisticated rules of behavior, e.g., repeatedly "best replying" to others'
Jaggard, Aaron D., Schapira, Michael, Wright, Rebecca N.   +2 more
core  

Computational Social Science

, 2019
Social scientists have long made use of advanced computational techniques in their research. There have been two very different applications of computational technologies in social science: one largely about simulation of complex political interactions, the other focused on the use of computational approaches with data to estimate models of political ...
R. Michael Alvarez, Seo-young Silvia Kim
openaire   +1 more source

Dynamic calibration of low-cost PM2.5 sensors using trust-based consensus mechanisms

npj Climate and Atmospheric Science
Low-cost particulate matter (PM) sensors enable high-resolution urban air quality monitoring but face challenges from offsets, scaling mismatches, and drift.
Sachit Mahajan, Dirk Helbing
doaj   +1 more source