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Journal articles on the topic 'Cardiovascular system Social networks'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Park, Jin Joo, Chang-Hwan Yoon, Jung-Won Suh, et al. "Reduction of Ischemic Time for Transferred STEMI Patients Using a Smartphone Social Network System." Journal of the American College of Cardiology 68, no. 13 (2016): 1490–92. http://dx.doi.org/10.1016/j.jacc.2016.07.733.

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de Sierra, C., J. Cuenca-Castillo, and F. Estevez-Cid. "High-Definition Video Recording: Taking Sport Technology to the Operating Room." Thoracic and Cardiovascular Surgeon 66, no. 08 (2018): 667–69. http://dx.doi.org/10.1055/s-0038-1661374.

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AbstractFilming surgeries for teaching purposes, publications, and patient records has become increasingly popular as the systems for digital recording have evolved, becoming high-quality systems, both smaller and lighter. Digital recording allows long-term storage, retrieval, and database organization. In addition, sharing digital contents has also become easier since video sharing sites and social networks make it possible to upload these contents onto the Internet. We describe a simple and economical system for surgeons to record surgeries in high definition under sterile conditions without

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Compare, Angelo, Enzo Grossi, Massimo Buscema, et al. "Combining Personality Traits with Traditional Risk Factors for Coronary Stenosis: An Artificial Neural Networks Solution in Patients with Computed Tomography Detected Coronary Artery Disease." Cardiovascular Psychiatry and Neurology 2013 (October 3, 2013): 1–9. http://dx.doi.org/10.1155/2013/814967.

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Background. Coronary artery disease (CAD) is a complex, multifactorial disease in which personality seems to play a role but with no definition in combination with other risk factors. Objective. To explore the nonlinear and simultaneous pathways between traditional and personality traits risk factors and coronary stenosis by Artificial Neural Networks (ANN) data mining analysis. Method. Seventy-five subjects were examined for traditional cardiac risk factors and personality traits. Analyses were based on a new data mining method using a particular artificial adaptive system, the autocontractiv

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Bashkireva, Anastasia, Tatiana Bashkireva, Alexander Severin, Sergey Chibisov, Natalia Fateeva, and Evgeniya Severina. "Assessment of public health of production workers according to HRV." E3S Web of Conferences 217 (2020): 08004. http://dx.doi.org/10.1051/e3sconf/202021708004.

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The study of the social health of labour resources as human capital is an actual problem. In production workers, the vegetative status was studied in terms of heart rate variability. By the concept of autonomic reactivity A.M. Greenberg, the results of the study found that the vegetative status of male employees and workers differs. The employees performing functions related to the organization of the production process showed general sympathicotonia. Workers performing specific production tasks have a general sympathicotonia. The results of the study found that vegetative status makes it poss

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Treston, Carole. "Older Adults Aging With HIV: A Growing Population Experiencing Comorbidities and Social Isolation." Innovation in Aging 4, Supplement_1 (2020): 221–22. http://dx.doi.org/10.1093/geroni/igaa057.715.

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Abstract Significantly more than half of people living with HIV in the United States are over age 50 and at least half of that number are over 70 years old. Advances in antiretroviral treatments continue to extend the lifespan of people with HIV. However, people aging with HIV, particularly those diagnosed earlier in the epidemic, known as “long term survivors” are likely to face a myriad of challenges: clinical, psychosocial, financial, and logistical. Aging with HIV is a complex mix of long-term treatment effects, early onset of general aging, comorbidities and other confounding factors incl

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Kleyn, S. V., and S. A. Vekovshinina. "Priority risk factors related to drinking water from centralized water supply system that create negative trends in population health." Health Risk Analysis, no. 3 (September 2020): 49–60. http://dx.doi.org/10.21668/health.risk/2020.3.06.

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Our research object was long-term dynamics of parameters describing drinking water from centralized water supply systems and additional cases of health disorders among population in Russia directly caused by low-quality drinking water. Our research goal was to perform hygienic assessment of priority risk factors related to drinking water and potential health disorders that could be caused by them. Our research technique was hygienic analysis of drinking water parameters as per data taken from the federal statistical form No. 18 entitled «Data on sanitary situation in a RF region» over 2000–201

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Kleyn, S. V., and S. A. Vekovshinina. "Priority risk factors related to drinking water from centralized water supply system that create negative trends in population health." Health Risk Analysis, no. 3 (September 2020): 49–60. http://dx.doi.org/10.21668/health.risk/2020.3.06.eng.

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Our research object was long-term dynamics of parameters describing drinking water from centralized water supply systems and additional cases of health disorders among population in Russia directly caused by low-quality drinking water. Our research goal was to perform hygienic assessment of priority risk factors related to drinking water and potential health disorders that could be caused by them. Our research technique was hygienic analysis of drinking water parameters as per data taken from the federal statistical form No. 18 entitled «Data on sanitary situation in a RF region» over 2000–201

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Li, Dengao, Hang Wu, Jumin Zhao, Ye Tao, and Jian Fu. "Automatic Classification System of Arrhythmias Using 12-Lead ECGs with a Deep Neural Network Based on an Attention Mechanism." Symmetry 12, no. 11 (2020): 1827. http://dx.doi.org/10.3390/sym12111827.

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Nowadays, a series of social problems caused by cardiovascular diseases are becoming increasingly serious. Accurate and efficient classification of arrhythmias according to an electrocardiogram is of positive significance for improving the health status of people all over the world. In this paper, a new neural network structure based on the most common 12-lead electrocardiograms was proposed to realize the classification of nine arrhythmias, which consists of Inception and GRU (Gated Recurrent Units) primarily. Moreover, a new attention mechanism is added to the model, which makes sense for da

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Nichols, Naomi, Jayne Malenfant, and Kaitlin Schwan. "Networks and evidence-based advocacy: influencing a policy subsystem." Evidence & Policy: A Journal of Research, Debate and Practice 16, no. 4 (2020): 639–59. http://dx.doi.org/10.1332/174426420x15868720780747.

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Background: Timely access to relevant and trustworthy research findings is an important facilitator of research use. But the relational aspects of evidence generation, mobilisation and use have been insufficiently explored.Aims and objectives: Our aim is to describe the strategic communicative and relational work of two intermediary organisations playing thought leadership roles within a large, heterogeneous and loosely configured network comprised of individuals and organisations from the following sectors: academia, frontline service delivery, philanthropic funding, advocacy organisations an

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10

Beaumier, Mathilde, Clémence Béchade, Olivier Dejardin, et al. "Is self-care dialysis associated with social deprivation in a universal health care system? A cohort study with data from the Renal Epidemiology and Information Network Registry." Nephrology Dialysis Transplantation 35, no. 5 (2019): 861–69. http://dx.doi.org/10.1093/ndt/gfz245.

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Abstract Background Socioeconomic status is associated with dialysis modality in developed countries. The main objective of this study was to investigate whether social deprivation, estimated by the European Deprivation Index (EDI), was associated with self-care dialysis in France. Methods The EDI was calculated for patients who started dialysis in 2017. The event of interest was self-care dialysis 3 months after dialysis initiation [self-care peritoneal dialysis (PD) or satellite haemodialysis (HD)]. A logistic model was used for the statistical analysis, and a counterfactual approach was use

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11

Shaya, Fadia T., Xia Yan, Maryam Farshid, et al. "Social networks in cardiovascular disease management." Expert Review of Pharmacoeconomics & Outcomes Research 10, no. 6 (2010): 701–5. http://dx.doi.org/10.1586/erp.10.68.

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12

Atibila, Fidelis, Gill Ten Hoor, Emmanuel Timmy Donkoh, and Gerjo Kok. "Challenges experienced by patients with hypertension in Ghana: A qualitative inquiry." PLOS ONE 16, no. 5 (2021): e0250355. http://dx.doi.org/10.1371/journal.pone.0250355.

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Background Hypertension (HPT) is an essential public health problem affecting both lower and middle-income countries disproportionately. Evidence suggests that HPT is the leading risk factor for cardiovascular diseases and chronic kidney disease. Yet, challenges faced by patients with HPT in Ghana are not sufficiently explored. This study, documents the challenges patients with HPT face in Ghana. Methods We used an explorative descriptive qualitative design. Face-to-face in-depth interviews were conducted with 15 patients with HPT. Interviews were recorded and transcribed verbatim. A thematic

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13

Jindal, Honey, and Anjali Anjali. "Graph based Recommendation System in Social Networks." International Journal of Computer Applications 113, no. 2 (2015): 36–40. http://dx.doi.org/10.5120/19801-1583.

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M., Dagadu, and V. R. "Friend Recommendation System for Online Social Networks." International Journal of Computer Applications 153, no. 12 (2016): 1–3. http://dx.doi.org/10.5120/ijca2016911963.

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Chen, Chaochao, Xiaolin Zheng, Mengying Zhu, and Litao Xiao. "Recommender System with Composite Social Trust Networks." International Journal of Web Services Research 13, no. 2 (2016): 56–73. http://dx.doi.org/10.4018/ijwsr.2016040104.

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The development of online social networks has increased the importance of social recommendations. Social recommender systems are based on the idea that users who are linked in a social trust network tend to share similar interests. Thus, how to build an accurate social trust network will greatly affect recommendation performance. However, existing trust-based recommender approaches do not fully utilize social information to build rational trust networks and thus have low prediction accuracy and slow convergence speed. In this paper, the authors propose a composite trust-based probabilistic mat

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Sperlì, Giancarlo, Flora Amato, Fabio Mercorio, Mario Mezzanzanica, Vincenzo Moscato, and Antonio Picariello. "A Social Media Recommender System." International Journal of Multimedia Data Engineering and Management 9, no. 1 (2018): 36–50. http://dx.doi.org/10.4018/ijmdem.2018010103.

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Social media recommendation differs from traditional recommendation approaches as it needs considering not only the content information and users' similarities, but also users' social relationships and behavior within an online social network as well. In this article, a recommender system – designed for big data applications – is used for providing useful recommendations in online social networks. The proposed technique represents a collaborative and user-centered approach that exploits the interactions among users and generated multimedia contents in one or more social networks in a novel and

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17

Strully, Kate W., James H. Fowler, Joanne M. Murabito, Emelia J. Benjamin, Daniel Levy, and Nicholas A. Christakis. "Aspirin use and cardiovascular events in social networks." Social Science & Medicine 74, no. 7 (2012): 1125–29. http://dx.doi.org/10.1016/j.socscimed.2011.12.033.

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18

Chen, Yulin. "Collaborative Social Networks." Journal of Media Management and Entrepreneurship 1, no. 1 (2019): 57–72. http://dx.doi.org/10.4018/jmme.2019010104.

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This article investigates the relationships between the motivation, cognition, and behavior of knowledge management. It analyzes university students preparing to share content on the Tamshui Humanities Knowledge Collaboration System (hereafter referred to as the Tamshui Wiki) to determine whether different participation motivation dimensions (community motivation and personal motivation) affected their knowledge management cognition and behavior. The stimulus–organism–response theory is adopted to assess the relationships between several intrinsic cognition (knowledge management and community

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19

Gelas-Ample, B., L. Fau, A. Bailly, and F. Pillot-meunier. "Psychiatry and Primary Care: A Global Medical Care." European Psychiatry 41, S1 (2017): S234. http://dx.doi.org/10.1016/j.eurpsy.2017.01.2247.

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Patients suffering from psychiatric disorders have a decrease in life expectancy of 15 years compared to the general population. This excess mortality is not related predominantly to suicide but mostly to a higher frequency of somatic diseases, such as cardiovascular, neoplastic, metabolic diseases. Their high prevalence and their low diagnoses are related to a poorer access to screening, prevention and somatic care than in the general population. Indeed, we estimated that more than 60% of patients treated in public psychiatry do not have a general practitioner (GP) in France. The GP has a rol

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20

Arnaboldi, Valerio, Mattia G. Campana, Franca Delmastro, and Elena Pagani. "A personalized recommender system for pervasive social networks." Pervasive and Mobile Computing 36 (April 2017): 3–24. http://dx.doi.org/10.1016/j.pmcj.2016.08.010.

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21

Bezerianos, A., F. Chevalier, P. Dragicevic, N. Elmqvist, and J. D. Fekete. "GraphDice: A System for Exploring Multivariate Social Networks." Computer Graphics Forum 29, no. 3 (2010): 863–72. http://dx.doi.org/10.1111/j.1467-8659.2009.01687.x.

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22

Park, Minjae, Hyun Ahn, and Kwanghoon Pio Kim. "Workflow-supported social networks: Discovery, analyses, and system." Journal of Network and Computer Applications 75 (November 2016): 355–73. http://dx.doi.org/10.1016/j.jnca.2016.08.014.

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23

Sanchez, Faustino, Marta Barrilero, Silvia Uribe, Federico Alvarez, Agustin Tena, and Jose Manuel Menendez. "Social and Content Hybrid Image Recommender System for Mobile Social Networks." Mobile Networks and Applications 17, no. 6 (2012): 782–95. http://dx.doi.org/10.1007/s11036-012-0399-6.

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24

Lefebvre, R. Craig, and Alexandra S. Bornkessel. "Digital Social Networks and Health." Circulation 127, no. 17 (2013): 1829–36. http://dx.doi.org/10.1161/circulationaha.112.000897.

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25

Dmitriev, Andrey, Olga Tsukanova, and Svetlana Maltseva. "Modeling of Microblogging Social Networks: Dynamical System vs. Random Dynamical System." Procedia Computer Science 122 (2017): 812–19. http://dx.doi.org/10.1016/j.procs.2017.11.441.

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26

Paleti, Lakshmikanth, P. Radha Krishna, and J. V. R. Murthy. "User opinions driven social recommendation system." International Journal of Knowledge-based and Intelligent Engineering Systems 25, no. 1 (2021): 21–31. http://dx.doi.org/10.3233/kes-210050.

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Recommendation systems provide reliable and relevant recommendations to users and also enable users’ trust on the website. This is achieved by the opinions derived from reviews, feedbacks and preferences provided by the users when the product is purchased or viewed through social networks. This integrates interactions of social networks with recommendation systems which results in the behavior of users and user’s friends. The techniques used so far for recommendation systems are traditional, based on collaborative filtering and content based filtering. This paper provides a novel approach call

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Jenkovszky, László L. "Worldlines and social networks." Journal of the Belarusian State University. Sociology, no. 1 (April 13, 2021): 23–37. http://dx.doi.org/10.33581/2521-6821-2021-1-23-37.

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Familiar laws of physics are applied to study human relations, modelled by their world lines (worldlines) combined with social networks. We focus upon the simplest, basic element of any society: a married couple, stable due to the dynamic balance between attraction and repulsion. By building worldlines (worldsheets), we arrive at a two-level coordinate systems: one describing the behaviour of a string-like binary system (here, a married couple), the other one, external, corresponding to the motion of this couple in the medium, in which the worldline is embedded, sweeping there a string-like sh

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CONTE, ROSARIA, MARIO PAOLUCCI, and JORDI SABATER-MIR. "REPUTATION FOR INNOVATING SOCIAL NETWORKS." Advances in Complex Systems 11, no. 02 (2008): 303–20. http://dx.doi.org/10.1142/s0219525908001647.

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Reputation is a fundamental instrument of partner selection. Developed within the domain of electronic auctions, reputation technology is being been imported by other applications, from social networks to institutional evaluation. Its impact on trust enforcement is uncontroversial and its management is of primary concern for entrepreneurs and other economic operators. In this paper, we will briefly report on simulation-based studies of the role of reputation as a more tolerant form of social capital than familiarity networks. Whereas the latter exclude nontrustworthy partners, reputation is a

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Rogers, Juan D., and Ivan Tchalakov. "Computer Networks as the Embodiment of Social Networks." International Journal of Actor-Network Theory and Technological Innovation 6, no. 3 (2014): 1–25. http://dx.doi.org/10.4018/ijantti.2014070101.

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The Internet, both as a technological system and a set of social phenomena, has global reach. Its development is comparatively recent but the Internet has already become established as an ordinary feature of the everyday activities of people around the world. However, the very familiarity of this information infrastructure tends to obscure important dynamics of the process by which the current state of affairs was reached. This paper is the result of the confluence of two research efforts into the nature of this process in the United States and Bulgaria that began independently. The commonalit

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Bhawsar, Yachana, G. S. Thakur, and R. S. Thakur. "User Recommendation System using Markov Model in Social Networks." International Journal of Computer Applications 86, no. 9 (2014): 33–39. http://dx.doi.org/10.5120/15015-3299.

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Nahar, Vinita, Xue Li, Hao Lan Zhang, and Chaoyi Pang. "Detecting cyberbullying in social networks using multi-agent system." Web Intelligence and Agent Systems: An International Journal 12, no. 4 (2014): 375–88. http://dx.doi.org/10.3233/wia-140301.

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S., Manasa, Manjula S., and Venugopal K. "Trust Aware System for Social Networks: A Comprehensive Survey." International Journal of Computer Applications 162, no. 5 (2017): 34–43. http://dx.doi.org/10.5120/ijca2017913307.

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33

Yang, Xiao, Mianxiong Dong, Xiuzhen Chen, and Kaoru Ota. "Recommender System-Based Diffusion Inferring for Open Social Networks." IEEE Transactions on Computational Social Systems 7, no. 1 (2020): 24–34. http://dx.doi.org/10.1109/tcss.2019.2950139.

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34

Latorre, Roberto, and Javier Suárez. "Measuring social networks when forming information system project teams." Journal of Systems and Software 134 (December 2017): 304–23. http://dx.doi.org/10.1016/j.jss.2017.09.019.

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35

Henry, Nathalie, and Jean-daniel Fekete. "MatrixExplorer: a Dual-Representation System to Explore Social Networks." IEEE Transactions on Visualization and Computer Graphics 12, no. 5 (2006): 677–84. http://dx.doi.org/10.1109/tvcg.2006.160.

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Bani Yassein, Muneer, Shadi Aljawarneh, and Yarub Wahsheh. "Hybrid Real-Time Protection System for Online Social Networks." Foundations of Science 25, no. 4 (2019): 1095–124. http://dx.doi.org/10.1007/s10699-019-09595-7.

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Yigit, Melike, Bilal E. Bilgin, and Adem Karahoca. "Extended topology based recommendation system for unidirectional social networks." Expert Systems with Applications 42, no. 7 (2015): 3653–61. http://dx.doi.org/10.1016/j.eswa.2014.12.043.

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38

Amato, Flora, Vincenzo Moscato, Antonio Picariello, and Francesco Piccialli. "SOS: A multimedia recommender System for Online Social networks." Future Generation Computer Systems 93 (April 2019): 914–23. http://dx.doi.org/10.1016/j.future.2017.04.028.

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39

Shaya, Fadia T., Viktor V. Chirikov, C. Daniel Mullins, et al. "Social Networks Help Control Hypertension." Journal of Clinical Hypertension 15, no. 1 (2012): 34–40. http://dx.doi.org/10.1111/jch.12036.

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40

Brandt, Mark J., Chris G. Sibley, and Danny Osborne. "What Is Central to Political Belief System Networks?" Personality and Social Psychology Bulletin 45, no. 9 (2019): 1352–64. http://dx.doi.org/10.1177/0146167218824354.

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A central challenge for identifying core components of a belief system is examining the position of components within the structure of the entire belief system. We test whether operational (i.e., positions on issues) or symbolic (i.e., affective attachments to political groups and labels) components are most central by modeling a political belief system as a network of interconnected attitudes and beliefs. Across seven waves of representative panel data from New Zealand, we find that symbolic components are more central than operational components ( ds range = 0.78-0.97). Symbolic components w

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Brandt, Mark J., and Willem W. A. Sleegers. "Evaluating Belief System Networks as a Theory of Political Belief System Dynamics." Personality and Social Psychology Review 25, no. 2 (2021): 159–85. http://dx.doi.org/10.1177/1088868321993751.

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A theory of political belief system dynamics should incorporate causal connections between elements of the belief system and the possibility that belief systems are influenced by exogenous factors. These necessary components can be satisfied by conceptualizing an individual’s belief system as a network of causally connected attitudes and identities which, via the interactions between the elements and the push of exogenous influences, produces the disparate phenomena in the belief systems literature. We implement this belief systems as networks theory in a dynamic Ising model and demonstrate th

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França Batista, Andre Luiz, Carlos Henrique Da Silveira Campos, and Daniel Ramos Pimentel. "Colloquiality analysis on social networks." International Journal for Innovation Education and Research 8, no. 4 (2020): 369–90. http://dx.doi.org/10.31686/ijier.vol8.iss4.2295.

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Social network sites are present in a constant way in society. The manner people write in social network sites has their dynamism because of the speed information are replicated, the reach publications may have, network sites’ peculiarities and the seek for fame. This generates linguistic constructions that are not in accord with the standard norm of the Portuguese language. This quantitative work aims to relate the use of colloquial constructions on Twitter with user's popularity, posts popularity and other specific factors of this social network. This analysis was made using regular expressi

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43

Franchi, Enrico, Agostino Poggi, and Michele Tomaiuolo. "Information Attacks on Online Social Networks." Journal of Information Technology Research 7, no. 3 (2014): 54–71. http://dx.doi.org/10.4018/jitr.2014070104.

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Online social networks have changed the way people interact, allowing them to stay in touch with their acquaintances, reconnect with old friends, and establish new relationships with other people based on hobbies, interests, and friendship circles. Unfortunately, the regrettable concurrence of the users' carefree attitude in sharing information, the often sub-par security measures from the part of the system operators and, eventually, the high value of the published information make online social networks an interesting target for crackers and scammers alike. The information contained can be u

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Tang, Hu Xin, and Xu Qian. "Research on Recommendation Algorithm in Social Networks." Applied Mechanics and Materials 496-500 (January 2014): 1865–68. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1865.

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Research status and development of the recommendation system are studied, the focus of evaluation of recommender system and recommender system based on social network in two aspects, and puts forward some improved algorithm, and achieved certain results. KDD Cup 2012 Track data for the simulation experiments on the correlation algorithm based on search engine, has been shown in different positions on the relative attractiveness of advertising, numerical user. At the same time, rapid calculation of the degree of correlation between a user and other users of an algorithm is given, and then quick

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45

Ghazinour, Kambiz, Stan Matwin, and Marina Sokolova. "YourPrivacyProtector: A Recommender System for Privacy Settings in Social Networks." International Journal of Security, Privacy and Trust Management 2, no. 4 (2013): 11–25. http://dx.doi.org/10.5121/ijsptm.2013.2402.

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Findler, Nicholas V., and Sudheer Dhulipalla. "A decision support system for rule discovery in social networks." Social Networks 21, no. 2 (1999): 167–85. http://dx.doi.org/10.1016/s0378-8733(99)00008-8.

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Zhang, Yangyang, Jianxin Li, Chenggen Sun, Md Zakirul Alam Bhuiyan, Weiren Yu, and Richong Zhang. "HotML: A DSM-based machine learning system for social networks." Journal of Computational Science 26 (May 2018): 478–87. http://dx.doi.org/10.1016/j.jocs.2017.09.006.

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Wang, Zhibo, Jilong Liao, Qing Cao, Hairong Qi, and Zhi Wang. "Friendbook: A Semantic-Based Friend Recommendation System for Social Networks." IEEE Transactions on Mobile Computing 14, no. 3 (2015): 538–51. http://dx.doi.org/10.1109/tmc.2014.2322373.

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Dovgan, N. "The social system of generational networks: strong and weak connections." "Bulletin of Postgraduate Education" (Series «Social and behavioural sciences»), no. 37 (2019): 50–66. http://dx.doi.org/10.32405/2522-9931-8(37)-50-66.

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Forouzandeh, Saman. "Health Recommender System in Social Networks: A Case of Facebook." Webology 16, no. 1 (2019): 40–54. http://dx.doi.org/10.14704/web/v16i1/a178.

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