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Using Clustering to extract Personality Information from socio economic data [article]

Alexandros Ladas, Uwe Aickelin, Jon Garibaldi, Eamonn Ferguson
2013 arXiv   pre-print
In this work, we present a method to extract Behavioural Groups by using simple clustering techniques that can potentially reveal aspects of the Personalities for their members.  ...  It has become apparent that models that have been applied widely in economics, including Machine Learning techniques and Data Mining methods, should take into consideration principles that derive from  ...  ACKNOWLEDGMENT We would like to thank John Gathergood, lecturer in school of economics for providing us the CCCS dataset and the 52 students of the Psychology Department for contributing voluntarily in  ... 
arXiv:1307.1998v1 fatcat:hbtru3uyurf7vdkehnho4vdh74

Using Clustering to Extract Personality Information from Socio Economic Data

Alexandros Ladas, Uwe Aickelin, Jonathan M. Garibaldi, Eamonn Ferguson
2012 Social Science Research Network  
In this work, we present a method to extract Behavioural Groups by using simple clustering techniques that can potentially reveal aspects of the Personalities for their members.  ...  It has become apparent that models that have been applied widely in economics, including Machine Learning techniques and Data Mining methods, should take into consideration principles that derive from  ...  ACKNOWLEDGMENT We would like to thank John Gathergood, lecturer in school of economics for providing us the CCCS dataset and the 52 students of the Psychology Department for contributing voluntarily in  ... 
doi:10.2139/ssrn.2829227 fatcat:plg533uvhrgnhmp5wlnfp4mvxu

Two Tier Analysis of Social Media Collaboration for Student Migration

Ronak Razavisousan, Karuna P. Joshi
2019 2019 IEEE 5th International Conference on Collaboration and Internet Computing (CIC)  
We leveraged methods from Natural Language Processing (NLP) to extract contents specific to migration from social media posts.  ...  We used topic modeling-Latent Dirichlet Allocation (LDA) to extract the topics from tweets and word embedding-Word to vector (W2V) to find the correlation and similarity between UGC and socioeconomics  ...  We created two layers of clustering methods for mapping our Twitter data and extracted factors from socioeconomics articles.  ... 
doi:10.1109/cic48465.2019.00028 dblp:conf/coinco/RazavisousanJ19 fatcat:ruoxu3miknhozp5egxa7snvhca

The Spatial Distribution of Hepatitis C Virus Infections and Associated Determinants—An Application of a Geographically Weighted Poisson Regression for Evidence-Based Screening Interventions in Hotspots

Boris Kauhl, Jeanne Heil, Christian J. P. A. Hoebe, Jürgen Schweikart, Thomas Krafft, Nicole H. T. M. Dukers-Muijrers, Ravi Jhaveri
2015 PLoS ONE  
Socio-economic determinants consisted of one-person households, persons with low income and mean property value.  ...  socio-economic determinants.  ...  The authors would also like to thank Jennifer Ilius for enhancing the maps using Adobe Illustrator. Author Contributions  ... 
doi:10.1371/journal.pone.0135656 pmid:26352611 pmcid:PMC4564162 fatcat:6vhumziow5c6hjfcal4zchiyxa

Quantifying knowledge synchronisation in the 21st century [article]

Jisung Yoon, Jinseo Park, Jinhyuk Yun, Woo-Sung Jung
2022 arXiv   pre-print
Furthermore, we integrate our data into a mechanistic model to better understand the underlying mechanism and suggest that the knowledge "Silk Road" of the 21st century is based online.  ...  Here, we explore the dominant path of knowledge diffusion in the 21st century using Wikipedia, the largest communal dataset.  ...  We would also like to thank Facebook Inc., for making the Social Connectedness Index dataset available to us.  ... 
arXiv:2202.01466v1 fatcat:fngmgki7znemnjyhgeixwgulge

User profiling with geo-located posts and demographic data

Adam Poulston, Mark Stevenson, Kalina Bontcheva
2016 Proceedings of the First Workshop on NLP and Computational Social Science  
These posts are combined with two publicly available sources of demographic information to automatically create data sets in which posts are labelled with socio-economic status.  ...  This paper presents a novel method for user profiling in social media that makes use of geo-location information associated with social media posts to avoid the need for selfreported data.  ...  This approach is applied using publicly available demographic data describing socio-economic status (Section 2).  ... 
doi:10.18653/v1/w16-5606 dblp:conf/acl-nlpcss/PoulstonSB16 fatcat:feta7euhvfeq7lgliv6fk4udh4

Understanding mobility in a social petri dish

Michael Szell, Roberta Sinatra, Giovanni Petri, Stefan Thurner, Vito Latora
2012 Scientific Reports  
Despite the recent availability of large data sets on human movements, a full understanding of the rules governing motion within social systems is still missing, due to incomplete information on the socio-economic  ...  Such a "socio-economic laboratory" allows to unveil the intricate interplay of spatial constraints, social and economic factors, and patterns of mobility.  ...  M.S. and S.T. acknowledge support from the Austrian Science Fund Fonds zur Förderung der wissenschaftlichen Forschung P 23378, and from project EU FP7 -INSITE.  ... 
doi:10.1038/srep00457 pmid:22708055 pmcid:PMC3375635 fatcat:b2vbddvs5rconeyikovmc6ajym

Relationships between mobile phone usage and activity-travel behavior: A review of the literature and an example [chapter]

Yihong Wang, Gonçalo Homem de Almeida Correia, Bart van Arem
2019 Advances in Transport Policy and Planning  
Acknowledgments We would like to express our gratitude to the Shanghai Unicom WO+ Open Data Application Contest for making the mobile phone data available for this research.  ...  Thanks go also to the TRAIL research school and the Dutch Organization for Scientific Research (NWO) for sponsoring the first author for his PhD study. The assigned grant code is 022.005.030.  ...  In addition to using socio-economic strata to explain the differences in mobile phone usage, researchers have done the other way around: using mobile phone usage to predict socio-economic information  ... 
doi:10.1016/bs.atpp.2019.08.001 fatcat:6sa7tj6b2zarnap5l77mcvjkpe

Using GMDH in ecological and socio-economical monitoring problems

Ljudmila Sarycheva
2003 Systems Analysis Modelling Simulation  
Analysis complexity, related to multi-dimensional data is overcome thanks to using group methods of data handling (GMDH).  ...  This work shows the results of Ukraine's regions cluster analysis by the totality of ecological and socio-economical indices.  ...  ESEM includes: (a) keeping unified monitoring database; (b) data visualization; (c) data analysis; (d) building up ecological and socio-economical model; (e) forecasting ecological, economical and social  ... 
doi:10.1080/02329290290024925 fatcat:ca7vsb3aa5bwrmeyfxcvoccnw4

Vulnerability mapping as a tool to manage the environmental impacts of oil and gas extraction

Surina Esterhuyse, Frank Sokolic, Nola Redelinghuys, Marinda Avenant, Andrzej Kijko, Jan Glazewski, Lisa Plit, Marthie Kemp, Ansie Smit, A. Tascha Vos, Michael J. von Maltitz
2017 Royal Society Open Science  
We are also grateful to two anonymous reviewers who provided comments that substantially improved this manuscript.  ...  Various biophysical and socio-economic impacts, ranging from positive to negative, may be associated with UOG extraction.  ...  for each indicator, confidence in the data to be used and the weighting of the individual indicators in the final socio-economic vulnerability map.  ... 
doi:10.1098/rsos.171044 pmid:29291094 pmcid:PMC5717668 fatcat:c5xaf7kdwfawfpci7wjwggpkxa

A socio-economic status-dependent case study on relevance and frequency-enabled trip planning model

Sesham Anand, P. Padmanabham, A. Govardhan, Rajesh H. Kulkarni
2017 International Journal of Society Systems Science  
The proposed trip planning model processes the real time data and it is followed by the extraction of the relevant socio-economic attributes to mine the most frequent and the feasible attribute to plan  ...  This paper attempts to introduce a new trip-planning model that is able to work on real time data with multiple socio-economic constraints.  ...  Here, the agglomerative hierarchical clustering technique (Rokach and Maimon, 2005) is used to perform the clustering of the trip data.  ... 
doi:10.1504/ijsss.2017.083618 fatcat:twhdkuwm45ft7exrokj33rwglu

Processes, Potential Benefits, and Limitations of Big Data Analytics: A Case Analysis of 311 Data from City of Miami

Loni Hagen, Hye Seon Yi, Siana Pietri, Thomas E. Keller
2019 20th Annual International Conference on Digital Government Research on - dg.o 2019  
Studies have found that 311 request patterns are associated with personal attributes and living conditions.  ...   As part of the open government movement, an increasing number of 311 call centers have made their datasets available to the public.  ...  By extracting handful of useful information from large volumes of data, human can process a small quantity of the extracted information for making inferences.  ... 
doi:10.1145/3325112.3325212 dblp:conf/dgo/HagenYPK19 fatcat:3ljhgyovg5dxbfvtptwy24rifi

Socio‐economic inequalities in the effectiveness of workplace health promotion programmes on body mass index: An individual participant data meta‐analysis

Suzan J.W. Robroek, Karen M. Oude Hengel, Allard J. Beek, Cécile R.L. Boot, Frank J. Lenthe, Alex Burdorf, Pieter Coenen
2020 Obesity Reviews  
This individual participant data meta-analysis assessed the effectiveness of workplace health promotion programmes on body mass index (BMI) across socio-economic groups and whether study and intervention  ...  Studies were eligible if they assessed the effect of a workplace health promotion programme on BMI in the Netherlands, included workers of at least two different socio-economic positions (SEPs) and had  ...  ACKNOWLEDGEMENTS We would like to thank all researchers who contributed by sharing their original data. We would like to thank Daan Nieboer for his advice concerning statistics.  ... 
doi:10.1111/obr.13101 pmid:32696580 fatcat:emywoltt6vcfbf4wxwt4hf7tbm

Modelling the Wealth Index of Demographic and Health Surveys within Cities Using Very High-Resolution Remotely Sensed Information

Stefanos Georganos, Assane Niang Gadiaga, Catherine Linard, Tais Grippa, Sabine Vanhuysse, Nicholus Mboga, Eléonore Wolff, Sébastien Dujardin, Moritz Lennert
2019 Remote Sensing  
A systematic and precise understanding of urban socio-economic spatial inequalities in developing regions is needed to address global sustainability goals.  ...  Our results show that the WI was modelled to a satisfactory degree when compared against census data even at very fine resolutions.  ...  Acknowledgments: We would like to thank the two anonymous reviewers whose comments and recommendations greatly improved the quality of the manuscript.  ... 
doi:10.3390/rs11212543 fatcat:2edhxvworzcapoblcumlv6tcyi

COVID-19: District level vulnerability assessment in India

Apurba Sarkar, Pradip Chouhan
2020 Clinical Epidemiology and Global Health  
In this, a cross-sectional study principal component analyses have been used to drive SoEVI. 4 uncorrelated sub-index has been extracted from 16 sub-indicators which reflects 59% of the variance.  ...  The objective of the present work is to construct a socio-environmental vulnerability index of the potential risk of community spread of COVID-19 using socio-economic and environmental variables.  ...  The Z-score is a widely used statistical technique that can able to standardize a wide range of data to represent the significant changes across the data. 41 Z-score data normalization has been done  ... 
doi:10.1016/j.cegh.2020.08.017 pmid:32901227 pmcid:PMC7470821 fatcat:qc5o34wmwnajzdslqlnsngk4by
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