Hasil untuk "Socialism. Communism. Anarchism"

Runhao Jiang, Renchi Yang, Wenqing Lin

Social recommendation, which seeks to leverage social ties among users to alleviate the sparsity issue of user-item interactions, has emerged as a popular technique for elevating personalized services in recommender systems. Despite being effective, existing social recommendation models are mainly devised for recommending regular items such as blogs, images, and products, and largely fail for community recommendations due to overlooking the unique characteristics of communities. Distinctly, communities are constituted by individuals, who present high dynamicity and relate to rich structural patterns in social networks. To our knowledge, limited research has been devoted to comprehensively exploiting this information for recommending communities. To bridge this gap, this paper presents CASO, a novel and effective model specially designed for social community recommendation. Under the hood, CASO harnesses three carefully-crafted encoders for user embedding, wherein two of them extract community-related global and local structures from the social network via social modularity maximization and social closeness aggregation, while the third one captures user preferences using collaborative filtering with observed user-community affiliations. To further eliminate feature redundancy therein, we introduce a mutual exclusion between social and collaborative signals. Finally, CASO includes a community detection loss in the model optimization, thereby producing community-aware embeddings for communities. Our extensive experiments evaluating CASO against nine strong baselines on six real-world social networks demonstrate its consistent and remarkable superiority over the state of the art in terms of community recommendation performance.

Masanori Takano, Kenji Yokotani, Takahiro Kato et al.

Online communication via avatars provides a richer online social experience than text communication. This reinforces the importance of online social support. Online social support is effective for people who lack social resources because of the anonymity of online communities. We aimed to understand online social support via avatars and their social relationships to provide better social support to avatar users. Therefore, we administered a questionnaire to three avatar communication service users (Second Life, ZEPETO, and Pigg Party) and three text communication service users (Facebook, X, and Instagram) (N=8,947). There was no duplication of users for each service. By comparing avatar and text communication users, we examined the amount of online social support, stability of online relationships, and the relationships between online social support and offline social resources (e.g., offline social support). We observed that avatar communication service users received more online social support, had more stable relationships, and had fewer offline social resources than text communication service users. However, the positive association between online and offline social support for avatar communication users was more substantial than for text communication users. These findings highlight the significance of realistic online communication experiences through avatars, including nonverbal and real-time interactions with co-presence. The findings also highlighted avatar communication service users' problems in the physical world, such as the lack of offline social resources. This study suggests that enhancing online social support through avatars can address these issues. This could help resolve social resource problems, both online and offline in future metaverse societies.

Gisela Manzoni

Reseña de Jacinto Cerdá, Negras tormentas. La FORA anarquista en la ciudad de Buenos Aires (1930-1943), Ciudad Autónoma de Buenos Aires, Grupo Editor Universitario, 2023, 133 pgs.

Ziqing Zhu, Guan Yuan, Tao Zhou et al.

The community plays a crucial role in understanding user behavior and network characteristics in social networks. Some users can use multiple social networks at once for a variety of objectives. These users are called overlapping users who bridge different social networks. Detecting communities across multiple social networks is vital for interaction mining, information diffusion, and behavior migration analysis among networks. This paper presents a community detection method based on nonnegative matrix tri-factorization for multiple heterogeneous social networks, which formulates a common consensus matrix to represent the global fused community. Specifically, the proposed method involves creating adjacency matrices based on network structure and content similarity, followed by alignment matrices which distinguish overlapping users in different social networks. With the generated alignment matrices, the method could enhance the fusion degree of the global community by detecting overlapping user communities across networks. The effectiveness of the proposed method is evaluated with new metrics on Twitter, Instagram, and Tumblr datasets. The results of the experiments demonstrate its superior performance in terms of community quality and community fusion.

Trond Holmen Erlien

Sam Popowich

This article argues that dominant perspectives on transhumanism maintain a commitment to the autarkic, self-determining, isolated individual subject. As a result, transhumanist conceptions which attempt to overcome individual isolation and alienation, such as J.D. Bernal's "compound brain" reinscribe liberal-individualist notions of subjectivity in a transhumanist future. A transhumanist Marxism would need to offer an alternative theory of identity-formation, and this article investigates autonomist Marxist Paolo Virno's conception of transindividuality both to critique transhumanist individualism and to offer an alternative way of understanding individual subjectivity. With Virno's transindividualist conception of subjectivity in hand, we are better placed to connect Marx's theory of the General Intellect with possible transhumanist futures.

Souaad Boudebza

Recent developments in the internet and technology have made major advancements in tools that facilitate the collection of social data, opening up thus new opportunities for analyzing social networks. Social network analysis studies the patterns of social relations and aims at discovering the hidden features embedded in the structure of social networks. One of the most important features in social networks is community structure : densely knit groups of individuals. The dynamic nature of interaction in social networks often challenges the detection of such community structures. The contributions in this thesis fall into two categories.The first category highlights the problem of identifying overlapping communities over time. To carry out such analysis, a framework called OLCPM (Online Label propagation and Clique Percolation Method) is proposed. It is an online algorithm based on clique percolation and label propagation methods. OLCPM has two main features : the first one is its ability to discover overlapping communities, while the second is its effectiveness in handling fine-grained temporal net works. As for as the second category is concerned, it emphasizes on the problem of analyzing communities that are embedded at different temporal scales. For example, in networks of interaction such as e-mails or phone calls, individuals are involved in daily as well as occasional conversations. We propose a first method for analyzing communities at multiple temporal scales. Hence, the dynamic network (link streams) is studied at different temporal granularities, and coherent communities (called stable communities) over a period of time are detected at each temporal granularity. The two proposed approaches are validated on both synthetic and real-world datasets.

W. Stratford

This article examines the pre-World War I editorials of America’s first Socialist con- gressman, Victor Berger, in order to recover the lost history of early twentieth-century American socialism from the obscuring lenses of Progressivism, Populism, anarchism, scientism, Soviet Communism, and American Exceptionalism. As I argue, talk of a Second Gilded Age today overlooks the vastly different roles “socialism” has played in the respective discourses. Rather than fighting for a stronger national welfare state, even the most conservative Socialists like Wisconsin Representative Victor Berger campaigned for the abolition of wage labour and the overthrow of global capitalism. Recognizing Populism’s failure to preserve its political independence as a working-class movement, Berger, like Debs, proposed that the working class should organize itself under the banner of a socialist party to take state power. In order to link the forma- tion of mass parties like the Socialist Party of America to a totalizing philosophy of history and international political revolution, Berger drew from Second-International Marxist dialogue in which it was enmeshed, not indigenous American traditions. The prolific editorial career of Victor Berger, head of the largest English-language socialist daily in the country, demonstrates how pre-war American Socialists did not merely “translate” Second-International Marxism but rather made up a constitutive part of its transatlantic development.

Javiera Robles Recabarren

En el presente artículo se propone abordar la contribución de las mujeres comunistas durante el período de la “Política de rebelión popular de masas” del Partido Comunista de Chile. Atendiendo a la ausencia historiografica sobre el estudio de las mujeres comunistas en Chile, serán analizadas fuentes orales de antiguas militantes del partido y su brazo armado, el Frente Patriótico Manuel Rodríguez, como también de los  organismos de derechos humanos, sindicatos y organizaciones populares.

Augusto Piemonte

Reseña de Magalí Andrea Devés, Guillermo Facio Hebequer. Entre el campo artístico y la cultura de izquierdas, Buenos Aires, Prometeo Libros, 2020, 302 pp.

Haibo Yang, Xin Zhang, Prashant Khanduri et al.

Present-day federated learning (FL) systems deployed over edge networks consists of a large number of workers with high degrees of heterogeneity in data and/or computing capabilities, which call for flexible worker participation in terms of timing, effort, data heterogeneity, etc. To satisfy the need for flexible worker participation, we consider a new FL paradigm called "Anarchic Federated Learning" (AFL) in this paper. In stark contrast to conventional FL models, each worker in AFL has the freedom to choose i) when to participate in FL, and ii) the number of local steps to perform in each round based on its current situation (e.g., battery level, communication channels, privacy concerns). However, such chaotic worker behaviors in AFL impose many new open questions in algorithm design. In particular, it remains unclear whether one could develop convergent AFL training algorithms, and if yes, under what conditions and how fast the achievable convergence speed is. Toward this end, we propose two Anarchic Federated Averaging (AFA) algorithms with two-sided learning rates for both cross-device and cross-silo settings, which are named AFA-CD and AFA-CS, respectively. Somewhat surprisingly, we show that, under mild anarchic assumptions, both AFL algorithms achieve the best known convergence rate as the state-of-the-art algorithms for conventional FL. Moreover, they retain the highly desirable {\em linear speedup effect} with respect of both the number of workers and local steps in the new AFL paradigm. We validate the proposed algorithms with extensive experiments on real-world datasets.

Qingqing Zhou, Chengzhi Zhang

The global spread of COVID-19 has caused pandemics to be widely discussed. This is evident in the large number of scientific articles and the amount of user-generated content on social media. This paper aims to compare academic communication and social communication about the pandemic from the perspective of communication preference differences. It aims to provide information for the ongoing research on global pandemics, thereby eliminating knowledge barriers and information inequalities between the academic and the social communities. First, we collected the full text and the metadata of pandemic-related articles and Twitter data mentioning the articles. Second, we extracted and analyzed the topics and sentiment tendencies of the articles and related tweets. Finally, we conducted pandemic-related differential analysis on the academic community and the social community. We mined the resulting data to generate pandemic communication preferences (e.g., information needs, attitude tendencies) of researchers and the public, respectively. The research results from 50,338 articles and 927,266 corresponding tweets mentioning the articles revealed communication differences about global pandemics between the academic and the social communities regarding the consistency of research recognition and the preferences for particular research topics. The analysis of large-scale pandemic-related tweets also confirmed the communication preference differences between the two communities.

Stanislav Holubec

The presented study first summaries the development of Czech anarchism (independent socialism), or its nationally orientated part before World War I and its becoming mainstream in Czech politics between 1914 and 1918 culminating in a merger with national social party. It further describes the marginalisation of this stream in Bohemian politics in 1918–1923 given the calming of the post‑war situation and the radicalisation of this group, which culminated in its exclusion from the ranks of the socialist party. The main theme of the text is an analysis of the attempt by this group to build its own party entity in 1923–1925. In looking for the cause of the failure of this attempt, I argue that the Czechoslovak political landscape was stabilised, which made it difficult for new parties to form, even though they could rely on several nationally known personalities and several thousand activists. As a result of the radical left‑wing orientation of the independent socialists, they did not aim for social democracy after realizing their failure, but for the ranks of the Communist Party of Czechoslovakia (KSČ), which was close to it mainly because of the Czech anarchists’ admiration for the Bolshevik revolution. In conclusion, I argue that the people representing this stream did not have much success in the Communist Party, because they differed from the members of this party in their rather middle‑class habitus and, as former members of the Socialist Party, they had biographies that were suspicious for the KSČ and they did not gain much respect as it was a group that had been unsuccessful in previous years and was quite small compared to the membership base of the KSČ. The failure of the Czech independent socialists does not deviate from European trends, where the political groups between the Social Democrats and the Communists did not gain a foothold even in other countries in the 1920s and 1930s, because the dilemma of going with Moscow or remaining on the platform of parliamentary democracy did not allow for compromise.

G. Ostergaard, J. Narayan, D. Dharmadhikari

Melvin Gallardo Márquez

El artículo tiene por objetivo reconstruir las actividades políticas y gremiales desarrolladas por el dirigente chileno Luis E. Recabarren en el Partido Socialista y en el movimiento obrero argentino, durante su residencia en Buenos Aires, entre 1906 y 1908. Recabarren gozó de un seguimiento de La Vanguardia por su importante trayectoria en el movimiento obrero chileno entre 1904 y 1906. Al autoexiliarse en la Argentina, sus objetivos eran estudiar en profundidad la doctrina socialista, conocer la estructura y organización del PS, su actividad política y su inserción en el movimiento obrero y, a través de esta experiencia, vincular al movimiento obrero chileno con el movimiento socialista internacional.

Hernán Camarero

Presentación

Boxuan Li, Martin Carrington, Peter Marbach

In this paper we study social exclusion in social (information) networks using a game-theoretic approach, and study the stability of a certain class community structures that are a Nash equilibrium. The main result of our analysis shows that all stable community structures (Nash equilibria) in this class are community structures under which some agents are socially excluded, and do not belong to any of the communities. This result is quite striking as it suggests that social exclusion might be the "norm" (an expected outcome) in social networks, rather than an anomaly.

Marina Dubova, Arseny Moskvichev, Robert Goldstone

Social network structure is one of the key determinants of human language evolution. Previous work has shown that the network of social interactions shapes decentralized learning in human groups, leading to the emergence of different kinds of communicative conventions. We examined the effects of social network organization on the properties of communication systems emerging in decentralized, multi-agent reinforcement learning communities. We found that the global connectivity of a social network drives the convergence of populations on shared and symmetric communication systems, preventing the agents from forming many local "dialects". Moreover, the agent's degree is inversely related to the consistency of its use of communicative conventions. These results show the importance of the basic properties of social network structure on reinforcement communication learning and suggest a new interpretation of findings on human convergence on word conventions.

Milad Mirbabaie, Jennifer Fromm, Simone Löppenberg et al.

A growing number of people use social media to seek information or coordinate relief activities in times of crisis. Thus, social media is increasingly deployed by emergency agencies as well to reach more people in crisis situations. However, the large amount of available data on social media could also be used by emergency agencies to understand how they are perceived by the public and to improve their communication. In this study, we examined the Twitter communication about the German emergency agency "Johanniter-Unfall-Hilfe" by conducting a frequency, sentiment, social network and content analysis. The results reveal that a right-wing political cluster politically instrumentalised an incident related to this agency. Furthermore, some individuals used social media to express criticism. It can be concluded that the use of social media analytics in the daily routine of emergency management professionals can be beneficial for improving their social media communication strategy.