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Journal articles on the topic 'Sociology of algorithms'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Galindo Ayuda, F. "Algorithms, Sociology of Law and Justice." Journal of Digital Technologies and Law 2, no. 1 (2024): 34–45. http://dx.doi.org/10.21202/jdtl.2024.3.

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Objective: to determine the possibility of professional legal activity automation and to identify the limitations that in a democratic society are associated with the use of software capable of generating effective legal solutions in conflict situations.Methods: the conducted empirical research is based on the methodology of social sciences, sociology of law, principles of communicative and communicational theories of law, and formal-legal analysis of legal documents.Results: the paper presents examples of functioning of computer systems that imitate some specific aspects of human intelligence

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Guetler, Vivian. "Machine Habitus: Toward a Sociology of Algorithms." Contemporary Sociology: A Journal of Reviews 52, no. 5 (2023): 415–16. http://dx.doi.org/10.1177/00943061231191421.

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Mölders, Marc. "Auf dem Weg zum Subsumtionsautomaten?" Sociologia Internationalis: Volume 56, Issue 2 56, no. 2 (2018): 71–89. http://dx.doi.org/10.3790/sint.56.2.71.

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Algorithmen werden in Gerichten eingesetzt, z. B. zur Rückfälligkeitsvorhersage. Dies ruft Assoziationen zum Subsumtionsautomaten des 19. Jahrhunderts hervor und fügt sich nahtlos in die Kritik des Solutionismus ein, soziale Probleme würden zunehmend technisch gelöst. Die Untersuchung von zwei vielfach verwendeten und diskutierten Beispielen (COMPAS, PSA) zeigt allerdings, dass an entscheidenden Stellen gerade nicht auf Technik gesetzt wird. Um den Algorithmus fair zu gestalten, werden nicht technische Schnittstellen, sondern Beteiligungsformate gefordert. Nicht nur hierfür, sondern an vielen

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Xiong, Wangping, Xian Zhou, Bin Nie, and Jianqiang Du. "Comparative Study Of Complex Network Community Structure Algorithms In network Pharmacology Analysis." MATEC Web of Conferences 232 (2018): 01021. http://dx.doi.org/10.1051/matecconf/201823201021.

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Community structure is an extremely important characteristic of complex networks composed of network pharmacology. The mining of network community structure is of great importance in many fields such as biology, computer science and sociology. In recent years, for different types of large-scale complex networks, researchers had proposed many algorithms for finding community structures. This paper reviewed some of the most representative algorithms in the field of network pharmacology, and focused on the analysis of the improved algorithms based on the modularity index and the new algorithms th

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Baker, Andréa Jean. "Algorithms to Assess Music Cities." SAGE Open 7, no. 1 (2017): 215824401769180. http://dx.doi.org/10.1177/2158244017691801.

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The global Mastering of a Music City report in 2015 notes that the concept of music cities has penetrated the global political vernacular because it delivers “significant economic, employment, cultural and social benefits.” This article highlights that no empirical study has combined all these values and offers a relevant and comprehensive definition of a music city. Drawing on industry research,1 the article assesses how mathematical flowcharts, such as Algorithm A (Economics), Algorithm B (Four T’s creative index), and Algorithm C (Heritage), have contributed to the definition of a music cit

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Bailey, Simon, Dean Pierides, Adam Brisley, Clara Weisshaar, and Tom Blakeman. "Dismembering organisation: The coordination of algorithmic work in healthcare." Current Sociology 68, no. 4 (2020): 546–71. http://dx.doi.org/10.1177/0011392120907638.

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Algorithms are increasingly being adopted in healthcare settings, promising increased safety, productivity and efficiency. The growing sociological literature on algorithms in healthcare shares an assumption that algorithms are introduced to ‘support’ decisions within an interactive order that is predominantly human-oriented. This article presents a different argument, calling attention to the manner in which organisations can end up introducing a non-negotiable disjuncture between human-initiated care work and work that supports algorithms, which the authors call algorithmic work. Drawing on

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Sikarwar, Ranjana, Shyam Sunder Gupta, and Harish Kumar Shakya. "An Elitism-based Novel Approach for Community Detection in Social Networks." International Journal of Experimental Research and Review 46 (December 30, 2024): 342–54. https://doi.org/10.52756/ijerr.2024.v46.027.

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The detection of communities is an important problem in social network analysis, which has applications in various domains like sociology, biology, computer science, and marketing. In this context, genetic algorithms have proven to be effective in detecting communities by optimizing the modularity score of the network. The proposed work in this research paper uses an elitism-based genetic algorithm with some modified crossover and mutation techniques to detect communities in social networks. The proposed methodology incorporates the concepts of elitism, N-point crossover, and inverse mutation

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Rödl, Malte B. "Airoldi Massimo (2022) Machine Habitus: Toward a Sociology of Algorithms." Science & Technology Studies 35, no. 4 (2022): 78–80. http://dx.doi.org/10.23987/sts.120879.

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9

Ugwudike, Pam. "Predictive Algorithms in Justice Systems and the Limits of Tech-Reformism." International Journal for Crime, Justice and Social Democracy 11, no. 1 (2022): 85–99. http://dx.doi.org/10.5204/ijcjsd.2189.

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Data-driven digital technologies are playing a pivotal role in shaping the global landscape of criminal justice across several jurisdictions. Predictive algorithms, in particular, now inform decision making at almost all levels of the criminal justice process. As the algorithms continue to proliferate, a fast-growing multidisciplinary scholarship has emerged to challenge their logics and highlight their capacity to perpetuate historical biases. Drawing on insights distilled from critical algorithm studies and the digital sociology scholarship, this paper outlines the limits of prevailing tech-

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Molina, Mario, and Filiz Garip. "Machine Learning for Sociology." Annual Review of Sociology 45, no. 1 (2019): 27–45. http://dx.doi.org/10.1146/annurev-soc-073117-041106.

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Machine learning is a field at the intersection of statistics and computer science that uses algorithms to extract information and knowledge from data. Its applications increasingly find their way into economics, political science, and sociology. We offer a brief introduction to this vast toolbox and illustrate its current uses in the social sciences, including distilling measures from new data sources, such as text and images; characterizing population heterogeneity; improving causal inference; and offering predictions to aid policy decisions and theory development. We argue that, in addition

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Liu, Jing, Junfang Guo, and Qi Li. "A Local Extended Algorithm Combined with Degree and Clustering Coefficient to Optimize Overlapping Community Detection." Complexity 2021 (December 29, 2021): 1–11. http://dx.doi.org/10.1155/2021/7428927.

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Community structure is one of the most important characteristics of complex networks, which has important applications in sociology, biology, and computer science. The community detection method based on local expansion is one of the most adaptable overlapping community detection algorithms. However, due to the lack of effective seed selection and community optimization methods, the algorithm often gets community results with lower accuracy. In order to solve these problems, we propose a seed selection algorithm of fusion degree and clustering coefficient. The method calculates the weight valu

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Lomborg, Stine, and Patrick Heiberg Kapsch. "Decoding algorithms." Media, Culture & Society 42, no. 5 (2019): 745–61. http://dx.doi.org/10.1177/0163443719855301.

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In this article, we propose to adapt the communication theory concept of ‘decoding’ as a sensitizing device to probe how people come to know and understand algorithms, what they imagine algorithms to do, and their valorization of and responses to algorithmic work in daily media use. We posit the concept of decoding as useful because it highlights a feature that is constitutional in communication: gaps that must be filled by mobilizing our semiotic and socio-cultural knowledge in processes of interpretation before any communication becomes meaningful. If we cannot open the black box itself, we

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Caplan, Robyn, and danah boyd. "Isomorphism through algorithms: Institutional dependencies in the case of Facebook." Big Data & Society 5, no. 1 (2018): 205395171875725. http://dx.doi.org/10.1177/2053951718757253.

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Algorithms and data-driven technologies are increasingly being embraced by a variety of different sectors and institutions. This paper examines how algorithms and data-driven technologies, enacted by an organization like Facebook, can induce similarity across an industry. Using theories from organizational sociology and neoinstitutionalism, this paper traces the bureaucratic roots of Big Data and algorithms to examine the institutional dependencies that emerge and are mediated through data-driven and algorithmic logics. This type of analysis sheds light on how organizational contexts are embed

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Andersen, Jack. "Understanding and interpreting algorithms: toward a hermeneutics of algorithms." Media, Culture & Society 42, no. 7-8 (2020): 1479–94. http://dx.doi.org/10.1177/0163443720919373.

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This article develops a hermeneutics of algorithms. By taking a point of departure in Hans-Georg Gadamer’s philosophical hermeneutics, developed in Truth and Method, I am going to examine what it means to understand algorithms in our lives. A hermeneutics of algorithms is consistent with the fact that we do not have direct access to the meaning of algorithms in the same way as we do not have direct access to the meaning of other cultural artifacts. We are forced to interpret cultural artifacts in order to make meaning out of them. The act of interpretation is an action on behalf of the interpr

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Tong, Chao, Jianwei Niu, Bin Dai, and Zhongyu Xie. "A Novel Complex Networks Clustering Algorithm Based on the Core Influence of Nodes." Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/801854.

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In complex networks, cluster structure, identified by the heterogeneity of nodes, has become a common and important topological property. Network clustering methods are thus significant for the study of complex networks. Currently, many typical clustering algorithms have some weakness like inaccuracy and slow convergence. In this paper, we propose a clustering algorithm by calculating the core influence of nodes. The clustering process is a simulation of the process of cluster formation in sociology. The algorithm detects the nodes with core influence through their betweenness centrality, and

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Sutikno, T., A. Pamungkas, G. Pau, A. Yudhana, and M. Facta. "A review of recent advances in metaheuristic maximum power point tracking algorithms for solar photovoltaic systems under the partial-shading conditions." Indonesian Journal of Science and Technology 7, no. 1 (2021): 131–58. http://dx.doi.org/10.17509/ijost.v7i1.45612.

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Several maximum power point (MPP) tracking algorithms for solar power or photovoltaic (PV) systems concerning partial-shading conditions have been studied and reviewed using conventional or advanced methods. The standard MPPT algorithms for partial-shading conditions are: (i) conventional; (ii) mathematics-based; (iii) artificial intelligence; (iv) metaheuristic. The main problems of the conventional methods are poor power harvesting and low efficiency due to many local maximum appearances and difficulty in determining the global maximum tracking. This paper presents MPPT algorithms for partia

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Dobrinskaya, Daria E. "Digital sociology for exploring digital society." Вестник Пермского университета. Философия. Психология. Социология, no. 2 (2021): 250–59. http://dx.doi.org/10.17072/2078-7898/2021-2-250-259.

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The advent of the digital age has become a serious challenge for researchers in various fields of scientific knowledge. Among others, this refers to sociology, which tried to give an adequate answer to the question of how the world is changing. The purpose of this article is to outline the contours of a new sociological field — digital sociology, which has been actively developing in recent years. The article provides an overview of Russian and international studies that have contributed to the formation of the scope of research and research objectives of digital sociology. It focuses on digit

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Burrell, Jenna, and Marion Fourcade. "The Society of Algorithms." Annual Review of Sociology 47, no. 1 (2021): 213–37. http://dx.doi.org/10.1146/annurev-soc-090820-020800.

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The pairing of massive data sets with processes—or algorithms—written in computer code to sort through, organize, extract, or mine them has made inroads in almost every major social institution. This article proposes a reading of the scholarly literature concerned with the social implications of this transformation. First, we discuss the rise of a new occupational class, which we call the coding elite. This group has consolidated power through their technical control over the digital means of production and by extracting labor from a newly marginalized or unpaid workforce, the cybertariat. Sec

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Bellanova, Rocco. "Digital, politics, and algorithms." European Journal of Social Theory 20, no. 3 (2016): 329–47. http://dx.doi.org/10.1177/1368431016679167.

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Many actors mobilize the cognitive, legal and technical tool-box of data protection when they discuss and address controversial issues such as digital mass surveillance. Yet, critical approaches to the digital only barely explore the politics of data protection in relation to data-driven governance. Building on governmentality studies and Actor-Network-Theory, this article analyses the potential and limits of using data protection to critique the ‘digital age’. Using the conceptual tool of dispositifs, it sketches an analytics of data protection and the emergence of its configuration as ‘data

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Roberts, Dorothy E., and Oliver Rollins. "Why Sociology Matters to Race and Biosocial Science." Annual Review of Sociology 46, no. 1 (2020): 195–214. http://dx.doi.org/10.1146/annurev-soc-121919-054903.

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Recent developments in genetics and neuroscience have led to increasing interest in biosocial approaches to social life. While today's biosocial paradigms seek to examine more fully the inextricable relationships between the biological and the social, they have also renewed concerns about the scientific study of race. Our review describes the innovative ways sociologists have designed biosocial models to capture embodied impacts of racism, but also analyzes the potential for these models normatively to reinforce existing racial inequities. First, we examine how concepts and measurements of dif

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Peeters, Rik. "The agency of algorithms: Understanding human-algorithm interaction in administrative decision-making." Information Polity 25, no. 4 (2020): 507–22. http://dx.doi.org/10.3233/ip-200253.

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With the rise of computer algorithms in administrative decision-making, concerns are voiced about their lack of transparency and discretionary space for human decision-makers. However, calls to ‘keep humans in the loop’ may be moot points if we fail to understand how algorithms impact human decision-making and how algorithmic design impacts the practical possibilities for transparency and human discretion. Through a review of recent academic literature, three algorithmic design variables that determine the preconditions for human transparency and discretion and four main sources of variation i

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22

Beunza, Daniel. "For a Sociology of Algorithms: Reproducing the social in the automation of the NYSE." Academy of Management Proceedings 2012, no. 1 (2012): 17244. http://dx.doi.org/10.5465/ambpp.2012.17244abstract.

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Ershov, A. "Algorithms and Their Attributes." Soviet Education 28, no. 10-11 (1986): 55–61. http://dx.doi.org/10.2753/res1060-939328101155.

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Cusmariu, Arnold. "Turing Algorithms in Art." Symposion 10, no. 1 (2023): 31–80. http://dx.doi.org/10.5840/symposion20231012.

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Exemplifying with sculptures the author created, the article shows that ontological algorithms can yield aesthetic content, while epistemological algorithms can capture it. Bridging the gap between art and logic creates new and exciting aesthetic opportunities, allaying Henry Moore’s fears of ‘paralysis by analysis.’ On the flip side, appreciating all that algorithmic art has to offer poses intellectual challenges that run counter to subjectivist approaches to art and its education.

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Neyland, Daniel. "On Organizing Algorithms." Theory, Culture & Society 32, no. 1 (2014): 119–32. http://dx.doi.org/10.1177/0263276414530477.

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Belovas, Igoris, та Vadimas Starikovičius. "PARALLELIZATION OF THE Α‐STABLE MODELLING ALGORITHMS". Mathematical Modelling and Analysis 12, № 4 (2007): 409–18. http://dx.doi.org/10.3846/1392-6292.2007.12.409-418.

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Stable distributions have a wide sphere of application: probability theory, physics, electronics, economics, sociology. Particularly important role they play in financial mathematics, since the classical models of financial market, which are based on the hypothesis of the normality, often become inadequate. However, the practical implementation of stable models is a nontrivial task, because the probability density functions of α‐stable distributions have no analytical representations (with a few exceptions). In this work we exploit the parallel computing technologies for acceleration of numeri

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Smirnov, V. A. "The “digitalization” of sociology: new opportunities and key contradictions." Moscow State University Bulletin. Series 18. Sociology and Political Science 30, no. 4 (2024): 146–64. http://dx.doi.org/10.24290/1029-3736-2024-30-4-145-163.

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The article analyzes the impact of digitalization on sociology and the professional trajectories of a sociologist. The main stages of the “digitalization” of sociology are highlighted, within which not only the amount of data used changes, but also the methods of their processing and analysis. Speaking about the transformation of modern sociology, the author describes several projects of its “digitization”, defining the key features of each. The “digitalization” of sociology is considered as an ambivalent process, which, on the one hand, opens up a whole range of opportunities for the research

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Xu, Ying Ming, and Shu Juan Jin. "Application of Computer System in the Study of Sociology." Advanced Materials Research 926-930 (May 2014): 1680–83. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1680.

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With the development of information technology, more and more data about social to be collected. If we can analyze them effectively, it will help people to understand sociological understanding, promoting the development of social science. But the increasing amount of data and analysis to put forward a huge challenge. Now the social networks have already surpassed the processing ability of the original analysis means, must use a more effective tool to complete the analysis task. The computer as a way of helping people from massive data to find the potential useful knowledge tools, play an impo

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Feng, Xiyue, Yiran Wang, and Qianwen Zheng. "Legal Regulation of Algorithmic Gender Discrimination in the Digital Age." Communications in Humanities Research 12, no. 1 (2023): 242–48. http://dx.doi.org/10.54254/2753-7064/12/20230114.

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With the advancement of technology, algorithms have become increasingly widely applied in peoples lives, and the interdisciplinary issue of algorithms and sociology has become a new hot topic of widespread concern today. Some researchers have compared algorithmic discrimination to the information gap and preliminarily summarized the categories of algorithmic discrimination, but there is a lack of systematic and comprehensive explanation of its characteristics, classification, adverse effects, and development direction. Therefore, the research topic of this article is a more microscopic topic o

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Ershov, A. "Executing Algorithms on a Calculator." Soviet Education 28, no. 10-11 (1986): 84–90. http://dx.doi.org/10.2753/res1060-939328101184.

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Cellard, Loup. "Algorithms as figures: Towards a post-digital ethnography of algorithmic contexts." New Media & Society 24, no. 4 (2022): 982–1000. http://dx.doi.org/10.1177/14614448221079032.

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This article intervenes in contemporary discussions of critical algorithm studies about the meaning of the notion ‘algorithm’. While many critical scholars as well as most public and private organisations understand this concept as a computational procedure instantiated by a programming code in a software stack, I argue that the algorithm is better understood as a ‘figure’; a discursive short-hand pointing to diverse modes of procedural governance and not always digital ones. Since algorithmic figures are generated by a bundle of heterogeneous contexts, their emergence leads to conflicting vis

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Goodman, Kenneth W. "End-of-life algorithms." Psychology, Public Policy, and Law 4, no. 3 (1998): 719–27. http://dx.doi.org/10.1037/1076-8971.4.3.719.

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Kotras, Baptiste. "Mass personalization: Predictive marketing algorithms and the reshaping of consumer knowledge." Big Data & Society 7, no. 2 (2020): 205395172095158. http://dx.doi.org/10.1177/2053951720951581.

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This paper focuses on the conception and use of machine-learning algorithms for marketing. In the last years, specialized service providers as well as in-house data scientists have been increasingly using machine learning to predict consumer behavior for large companies. Predictive marketing thus revives the old dream of one-to-one, perfectly adjusted selling techniques, now at an unprecedented scale. How do predictive marketing devices change the way corporations know and model their customers? Drawing from STS and the sociology of quantification, I propose to study the original ambivalence t

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Magleby, Daniel B., and Daniel B. Mosesson. "A New Approach for Developing Neutral Redistricting Plans." Political Analysis 26, no. 2 (2018): 147–67. http://dx.doi.org/10.1017/pan.2017.37.

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Computers hold the potential to draw legislative districts in a neutral way. Existing approaches to automated redistricting may introduce bias and encounter difficulties when drawing districts of large and even medium-sized jurisdictions. We present a new algorithm that can neutrally generate legislative districts without indications of bias that are contiguous, balanced and relatively compact. The algorithm does not show the kinds of bias found in prior algorithms and is an advance over previously published algorithms for redistricting because it is computationally more efficient. We use the

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Logan, John Allen. "4. Estimating Two-Sided Logit Models." Sociological Methodology 28, no. 1 (1998): 139–73. http://dx.doi.org/10.1111/0081-1750.00044.

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Logan (1996a) introduced a new micro-behavioral model of employment opportunity and choice, and a multivariate statistical method based on the micro-behavioral model. This article considers the connection between the behavioral model and the two-sided logit (TSL) statistical method in more detail than the original paper, discussing issues of parameter identification, model constraints, data reduction, and practical estimation. The article compares the EM gradient algorithm used in Logan (1996a) with an accelerated EM gradient algorithm and with a public-domain quasi-Newton algorithm. The latte

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Ziewitz, Malte. "Governing Algorithms." Science, Technology, & Human Values 41, no. 1 (2015): 3–16. http://dx.doi.org/10.1177/0162243915608948.

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Heise, David R. "Sociological algorithms: Preface." Journal of Mathematical Sociology 20, no. 2-3 (1995): 73–77. http://dx.doi.org/10.1080/0022250x.1995.9990154.

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Wang, Junhong. "Discerning the Political Communication of Short Video Platforms under Algorithmic Recommendations." Lecture Notes in Education Psychology and Public Media 5, no. 1 (2023): 838–43. http://dx.doi.org/10.54254/2753-7048/5/2022993.

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As an increasingly important core technology in digitalization, algorithms are not only the "brain" of artificial intelligence, but also a new form of full power. This paper reflects on the epistemological problem of short videos in the context of cybernetics. Through the study of short videos' communication, it points out that short videos have not become a tool for building network communication, openness and communication as expected, but have gradually become centralized, circled and walled, under the control of the algorithm of the big hand behind, forming an "information cocoon". "This p

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Ershov, A. "Algorithms Used in Working with Quantities." Soviet Education 28, no. 10-11 (1986): 74–80. http://dx.doi.org/10.2753/res1060-939328101174.

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Li, Boning. "Research on the Application of Multimedia Image Processing Technology in Sports Sociology Education." International Journal of Web-Based Learning and Teaching Technologies 19, no. 1 (2024): 1–21. http://dx.doi.org/10.4018/ijwltt.347989.

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In order to cope with sports events, it is difficult for cameras to accurately extract exciting moments during the competition. This article constructs a multimedia information system for sports sociology education. In terms of methodology, low-density architectures are used to measure and encode sparse signals, and the signal is reconstructed at the receiving end. By calculating the marginal probability distribution of each variable node, the reconstructed image is obtained. The experimental results show that this method performs well in detecting lens mutations and gradients, with a higher r

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Capurro, Rafael. "Enculturating Algorithms." NanoEthics 13, no. 2 (2019): 131–37. http://dx.doi.org/10.1007/s11569-019-00340-9.

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Caballero, Manuela, and Artemio Baigorri. "Glocalising the theory of generations: The case of Spain." Time & Society 28, no. 1 (2018): 333–57. http://dx.doi.org/10.1177/0961463x18783374.

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This work poses difficulties in the use of the generation concept as a social research instrument, due to its complex and multidimensional nature. A complexity by which is not a concept widely used in a current Sociology that focuses more on the mathematisation. But some social processes cannot be reduced to algorithms. For the theoretical review we have used contributions from Sociology, Philosophy and History, because it is of a transversal disciplinary nature, and we have applied it to the identification of Spanish generations in the 20th century. Inspired by Ortega’s theses and Strauss and

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Saunders, Clare. "Unblocking the Path to Effective Block Modeling in Social Movement Research." Mobilization: An International Quarterly 16, no. 3 (2011): 283–302. http://dx.doi.org/10.17813/maiq.16.3.a70276715p171144.

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Key studies of social movement networks use block modelling to uncover movement network structures. While it is promising to see mathematical sociology techniques applied here, there are grounds for engendering an even closer connection between these two fields of study. The mathematical sociology literature recommends, for example, that analyzed networks should be complete and relatively dense, that some degree of deduction should be applied to select the "best" model, that levels of equivalence and/or error scores should be specified, and that reliable and appropriate algorithms and levels o

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Conte, Alessio, Donatella Firmani, Maurizio Patrignani, and Riccardo Torlone. "A meta-algorithm for finding large k-plexes." Knowledge and Information Systems 63, no. 7 (2021): 1745–69. http://dx.doi.org/10.1007/s10115-021-01570-8.

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AbstractWe focus on the automatic detection of communities in large networks, a challenging problem in many disciplines (such as sociology, biology, and computer science). Humans tend to associate to form families, villages, and nations. Similarly, the elements of real-world networks naturally tend to form highly connected groups. A popular model to represent such structures is the clique, that is, a set of fully interconnected nodes. However, it has been observed that cliques are too strict to represent communities in practice. The k-plex relaxes the notion of clique, by allowing each node to

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Bondarenko, Oleksiy, Oleksandr Ustynenko, Roman Protasov, et al. "REVIEW OF MODERN USE OF GENETIC AND EVOLUTIONARY ALGORITHMS. STRATEGIES, POSSIBILITIES (REVIEW ARTICLE)." Bulletin of the National Technical University «KhPI» Series: Engineering and CAD, no. 2 (December 28, 2022): 6–16. http://dx.doi.org/10.20998/2079-0775.2022.2.01.

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Modern trends in the optimal and rational design of technical objects cross a large number of directions of their implementation. One of the interesting and promising directions is genetic and evolutionary algorithms (GА and EA). Authors promote the use of GА and EA as a tool for solving problems of optimal and rational design of complex mechanical systems. The relevance of highlighting modern methods, approaches and strategies for the implementation of GА and EA is described, as well as consideration of their applied implementation, which makes it possible to identify interesting directions o

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Wang, Zhao, Qingguo Xu, and Weimin Li. "Multi-Layer Feature Fusion-Based Community Evolution Prediction." Future Internet 14, no. 4 (2022): 113. http://dx.doi.org/10.3390/fi14040113.

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Analyzing and predicting community evolution has many important applications in criminology, sociology, and other fields. In community evolution prediction, most of the existing research is simply calculating the features of the community, and then predicting the evolution event through the classifier. However, these methods do not consider the complex characteristics of community evolution, and only predict the community’s evolution from a single level. To solve these problems, this paper proposes an algorithm called multi-layer feature fusion-based community evolution prediction, which obtai

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Esposito, Elena. "Artificial Communication? The Production of Contingency by Algorithms." Zeitschrift für Soziologie 46, no. 4 (2017): 249–65. http://dx.doi.org/10.1515/zfsoz-2017-1014.

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AbstractDiscourse about smart algorithms and digital social agents still refers primarily to the construction of artificial intelligence that reproduces the faculties of individuals. Recent developments, however, show that algorithms are more efficient when they abandon this goal and try instead to reproduce the ability to communicate. Algorithms that do not “think” like people can affect the ability to obtain and process information in society. Referring to the concept of communication in Niklas Luhmann’s theory of social systems, this paper critically reconstructs the debate on the computati

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Baumgartner, Michael, and Alrik Thiem. "Model Ambiguities in Configurational Comparative Research." Sociological Methods & Research 46, no. 4 (2015): 954–87. http://dx.doi.org/10.1177/0049124115610351.

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For many years, sociologists, political scientists, and management scholars have readily relied on Qualitative Comparative Analysis (QCA) for the purpose of configurational causal modeling. However, this article reveals that a severe problem in the application of QCA has gone unnoticed so far: model ambiguities. These arise when multiple causal models fare equally well in accounting for configurational data. Mainly due to the uncritical import of an algorithm that is unsuitable for causal modeling, researchers have typically been unaware of the whole model space. As a result, there exists an i

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Cotter, Kelley. "Playing the visibility game: How digital influencers and algorithms negotiate influence on Instagram." New Media & Society 21, no. 4 (2018): 895–913. http://dx.doi.org/10.1177/1461444818815684.

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Algorithms are said to affect social realities, often in unseen ways. This article explores conscious, instrumental interactions with algorithms, as a window into the complexities and extent of algorithmic power. Through a thematic analysis of online discussions among Instagram influencers, I observed that influencers’ pursuit of influence resembles a game constructed around “rules” encoded in algorithms. Within the “visibility game,” influencers’ interpretations of Instagram’s algorithmic architecture—and the “game” more broadly—act as a lens through which to view and mechanize the rules of t

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Smith, Robert A., and Pierre R. Desrochers. "Should algorithms be regulated by government?" Canadian Public Administration 63, no. 4 (2020): 563–81. http://dx.doi.org/10.1111/capa.12393.

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