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"This volume addresses Social Network Analysis (SNA) as a methodological approach in the field of Egyptology, exploring its possibilities, limitations, and applications within the discipline. Social Network Analysis is a sociological, graph theory-based approach used to investigate social structures created by patterns of relationships (ties or links) between actors (nodes), which has been utilised by scholars in other areas of ancient history. The book first provides readers with basic information on the theoretical background and methods applied by SNA as well as network theory and Actor-Network Theory (ANT) more generally. It discusses the history of SNA specifically within the discipline of Egyptology, evaluating the advantages and limitations of this approach when applied to different types of datasets, such as written sources and material records. The author then explores a case study, examining the potential of network modelling on datasets from the Abydos votive zone during the Middle Kingdom period (c. 2040-1750 BC). The book highlights how SNA and network theory can be useful supplementary tools alongside more traditional research approaches in Egyptology for a more comprehensive understanding of social relations and interconnections in ancient contexts. Social Network Analysis and Egyptology is suitable for students and scholars working on Egyptology who are interested in SNA methodology, as well as those working on Classical and Ancient Near Eastern archaeology and history. It also appeals to those interested in network research and theory more broadly"--

The privacy is a need for humanity since the creation of civilizations. In social networks the common point is that each user has to create a profile to define his or her own identity. The profile description includes many items with privacy settings to tune their visibility degrees for only owner, friends, friends of friends and sometimes for public. After enrolment stage, users extend their social connection graphs with accepted new friends and these graphs grow without the control of individual due to the new friends of friends. Hence, with high probability, the shared information of member is generally available to public and can be retrieved by users around the world. This article is prepared to give an overview on the reasons of privacy concerns and risks of SNs, and summarize the current and future possible solution directions for researchers and governments.

Despite its potentially pernicious consequences for social relations and democracy, the study of affective polarization has only recently proliferated. Thus, the reasons driving this development—or its consequences—are not yet adequately understood. This article addresses the role of one specific factor frequently discussed in both academic and popular debate—namely, the role of crosscutting communication among people of different political leanings. It is a longstanding notion that crosscutting communication is crucial to overcoming the prejudice, polarization, and attitudinal biases brought on by streamlined information diets. However, there is empirical evidence to suggest that crosscutting experiences sometimes elevate polarization—especially when individuals also have access to like-minded views and when disagreement is perceived as intense. The study sheds light on the connection by testing hypotheses about the association between crosscutting communication and affective polarization in both offline and online modalities of political communication. The empirical analyses were based on panel data from the E-DEM project covering a random sample of Spanish citizens interviewed up to three times between November 2018 and May 2019—that is, the time running up to the Spanish national election in 2019. The results suggest that individuals who reported engagement in face-to-face discussions with supporters of various parties (crosscutting discussions) during this time reported significantly lower levels of affective polarization compared to engagement in discussions with co-partisans exclusively. Online crosscutting and consensual discussion experiences, however, were linked to comparable levels of anti-out-group sentiment, suggesting that concerns about the impact of online communication being different from offline communication in general—and perhaps more harmful—may be overstated. Descriptive evidence furthermore indicates that most respondents who engaged in political discussions had experiences of discussions with both co-partisans and supporters of opposing parties rather than co-partisans exclusively. Again, this was true for offline and online communication alike. Insofar as the results translate to other contexts as well, they indicate that future efforts to explain any surges in affective polarization should primarily be focused on other areas of inquiry.

A newer version of this dataset is available at https://doi.org/10.7802/1.1954

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Social Network Science (SNS) is the field concerned with studying social systems in a relational way from the perspectives of the social and natural sciences. This data set consists of 25,760 biographical records retrieved from the Web of Science, ranging from 1916 to 2012. Each publication belongs to one of five subfields. To facilitate analyses of the social aspect of SNS, the names of 45,580 distinct authors are provided, linked to the papers in 68,227 publication-author relations. Author names have been disambiguated semi-automatically. To enable analyses of the cultural aspect of SNS, 23,026 distinct linguistic concepts are provided. These concepts resemble words or word combinations extracted from titles (for all publication years) and from abstracts and author keywords (only for publications published after 1990/1991). They are linked to the papers in 202,181 publication-concept relations.

The purpose of this article is to examine how students use social media based on six factors: field of study, level of study, year of study, gender, age, and income. To collect the data for this study, we conducted an online survey with an appropriate sample. In this study, a single construct was used to assess students' social media usage habits. We investigated the link between students' social media behaviors and their academic orientation, degree of study, year of study, gender, age, and income.
According to the results of this study, students' social media use varies by field of study, does not differ by level of study, differs by year of study, differs by gender, differs by age, and does not differ by income. The sample was restricted to survey respondents due to time and financial limitations. Consequently, the study findings cannot be generalized to the entire population.

Abstract: Two critiques of mass media in the twentieth century gestured at its effects on the capacity of patience. Neil Postman's Amusing Ourselves to Death and Daniel Boorstin's The Image examine how the media changed our imagining of the world, the scope of its relevance for us, and our ways of being in it. This article follows their lead by inquiring how being online further undermines the capacity for patience, manifested most clearly in the self-generating rage characteristic of social networks' discourse. It refers this effect to three basic elements of the online world: the ubiquitous timeline format, the hybrid creature of written speech created by it, and digital objects that adapt themselves too closely to our needs, imaginings, and desires. All three foster a disruption of distances, where the remote and unfamiliar are experienced as unbearably close, a blurring of distinctions between inner life and external reality. A world composed of digital objects has lost what Hannah Arendt described as its power to "relate and separate people at the same time."

Chapter 10.interorganizational networks in urban society: initial perspectives and comparative researchintroduction; assumptions which underlie the interorganizational level of analysis; integration and the specific frame of reference; research objectives and hypotheses; research design; results and discussion; conclusions and new directions; references; chapter 11.social structure in a group of scientists: a test of the ""invisible college"" hypothesis; the measurement of social ties; design of study; choices within and outside the area: the group and outsiders.

L'article propose un modèle théorique traduit dans une simulation informatique de la manière dont les acteurs communiquent au sein de forums de discussions en ligne. L'analyse du modèle montre que deux mécanismes simples peuvent rendre compte de la complexité des réseaux des échanges en ligne : d'une part, la tendance à parler avec des utilisateurs connus et, d'autre part, la tendance à se lancer dans des échanges de questions/réponses. Ces deux mécanismes permettent de reproduire des discussions longues ainsi que des interactions complexes entre des utilisateurs ayant des niveaux différents d'expertise. En particulier, quand les résultats des simulations sont comparés à des données empiriques issues de trois forums en ligne différents, l'analyse montre que le modèle est capable de distinguer quand un noyau d'utilisateurs interagissant apparaît fréquemment. Puisque l'émergence de tels noyaux constitue la première étape dans la construction du sentiment d'appartenance à une communauté, la capacité à modéliser l'émergence de ces noyaux intéresse plusieurs contextes qui vont du policy-making à l'apprentissage en ligne au marketing social.