Ostrich eggshells shed light on ancient social networks

Nature Africa ◽  
2022 ◽  
Keyword(s):  
Social Networks ◽  
Shed Light

scholarly journals Password as a Special case of "Man-machine" Communication. A Pragmatic approach

2021 ◽  
Vol 16 (2) ◽  
pp. 0
Author(s):  
Dmitry Muravyev
Keyword(s):  
Social Networks ◽  
Speech Act ◽  
Speech Act Theory ◽  
The Internet ◽  
John Searle ◽  
Pragmatic Approach ◽  
Internet Users ◽  
Personal Accounts ◽  
Special Case ◽  
Shed Light

The authorization on sites, in social networks and personal accounts with passwords is an extremely common practice today. It has become an integral part of people's lives, even they are not aware of it. But despite this, most Internet users have difficulties in creating and remembering of the strong passwords. This article analyzes the problem using the speech act theory of John Austin and John Searle. It allows to shed light on a person's behaviour on the Internet and his reaction to the question "Who is there?", which the machine asks him.

Domestic vs. International E-Shopping

2019 ◽  
pp. 24-39
Author(s):  
Vaggelis Saprikis
Keyword(s):  
Social Networks ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Business Environment ◽  
The Internet ◽  
Internet Users ◽  
Mobile Industry ◽  
Information And Communication ◽  
Number Of Individuals ◽  
Shed Light

Contemporary commerce is completely different as regards features some years ago. Nowadays, a considerable number of individuals and firms take advantage of the information and communication technologies and conduct transactions online. In particular, the mobile industry along with the broad use of social networks and improvements in the internet bandwidth worldwide has created a completely different business environment. Consequently, the technology incited many consumers to cross-border e-shopping, allowing access to a wider variety of products and services, and in numerous circumstances, access to cheaper goods. The purpose of this chapter is to investigate the perceptions internet users have towards e-shops focusing on Greece. More precisely, it aims to find out whether there are contingent differences on customers' perceptions regarding domestic vs. international e-shops, since a gradually augmented number of people have been expressing their preference on non-domestic e-stores for their purchases. Additionally, the chapter intends to shed light on the difficulty in understanding vital aspects of e-consumer behaviour.

Domestic vs. International E-Shopping

2021 ◽  
pp. 1819-1834
Author(s):  
Vaggelis Saprikis
Keyword(s):  
Social Networks ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Business Environment ◽  
The Internet ◽  
Internet Users ◽  
Mobile Industry ◽  
Information And Communication ◽  
Number Of Individuals ◽  
Shed Light

Contemporary commerce is completely different as regards features some years ago. Nowadays, a considerable number of individuals and firms take advantage of the information and communication technologies and conduct transactions online. In particular, the mobile industry along with the broad use of social networks and improvements in the internet bandwidth worldwide has created a completely different business environment. Consequently, the technology incited many consumers to cross-border e-shopping, allowing access to a wider variety of products and services, and in numerous circumstances, access to cheaper goods. The purpose of this chapter is to investigate the perceptions internet users have towards e-shops focusing on Greece. More precisely, it aims to find out whether there are contingent differences on customers' perceptions regarding domestic vs. international e-shops, since a gradually augmented number of people have been expressing their preference on non-domestic e-stores for their purchases. Additionally, the chapter intends to shed light on the difficulty in understanding vital aspects of e-consumer behaviour.

Social Learning Analytics

2021 ◽  
pp. 190-206
Author(s):  
Mustafa Şahin Bülbül
Keyword(s):  
Social Networks ◽  
Social Learning ◽  
Learning Analytics ◽  
Social Learning Analytics ◽  
Shed Light

Despite the idea that learning is individual, the YouTube channel has been examined to explain how learning is controlled in social networks. What kind of mechanism does the YouTube channel, which deeply influences the education world, work with and what does this structure tell the educators? What do data such as the number of views and comments on YouTube mean? Also, what kind of a model can be established between the video proposition system and our individual and social learning? This study has been prepared to shed light on the questions mentioned.

scholarly journals Learning to be a mother: Comparing two groups of Chinese immigrants in the Netherlands

2019 ◽  
Vol 28 (2) ◽  
pp. 220-241
Author(s):  
Lijie Zheng ◽  
Mariëtte de Haan ◽  
Willem Koops
Keyword(s):  
Social Networks ◽  
Chinese Immigrants ◽  
Black Box ◽  
Immigrant Parents ◽  
Long Distance ◽  
Dense Networks ◽  
Immigrant Mothers ◽  
Parenting Knowledge ◽  
Parental Ethnotheories ◽  
Shed Light

Immigrant parents may have to rebuild their parenting knowledge after migration to keep up with their new milieu. Comparing two subgroups of Chinese immigrants, economic and knowledge immigrants, this study shows that the construction of different parental ethnotheories can be understood through the characteristics of their parenting knowledge acquisition, social networks and networking strategies. Findings from ego-network interviews with 15 economic immigrant mothers and 20 knowledge immigrant mothers indicate that the former tends to obtain practical tips and specific instructions directly from experts and acquire practical help from local, co-ethnic, small and dense networks, while the latter engages in critical peer-based learning in multicultural, open and long-distance networks. This study argues that a social network perspective can shed light on the “black box” of how parenting theories are reconstructed after migration.

Vote Brokers, Clientelist Appeals, and Voter Turnout: Evidence from Russia and Venezuela

2019 ◽  
Vol 71 (04) ◽  
pp. 710-746 ◽  
Author(s):  
Timothy Frye ◽  
Ora John Reuter ◽  
David Szakonyi
Keyword(s):  
Social Networks ◽  
Voter Turnout ◽  
Job Loss ◽  
Relative Effectiveness ◽  
Theoretical Framework ◽  
Traditional Leaders ◽  
Party Activists ◽  
Shed Light

AbstractModern clientelist exchange is typically carried out by intermediaries—party activists, employers, local strongmen, traditional leaders, and the like. Politicians use such brokers to mobilize voters, yet little about their relative effectiveness is known. The authors argue that broker effectiveness depends on their leverage over clients and their ability to monitor voters. They apply their theoretical framework to compare two of the most common brokers worldwide, party activists and employers, arguing the latter enjoy numerous advantages along both dimensions. Using survey-based framing experiments in Venezuela and Russia, the authors find voters respond more strongly to turnout appeals from employers than from party activists. To demonstrate mechanisms, the article shows that vulnerability to job loss and embeddedness in workplace social networks make voters more responsive to clientelist mobilization by their bosses. The results shed light on the conditions most conducive to effective clientelism and highlight broker type as important for understanding why clientelism is prevalent in some countries but not others.

GitHubNet: Understanding the Characteristics of GitHub Network

2020 ◽  
Author(s):  
Abdullah Talha Kabakus
Keyword(s):  
Social Networks ◽  
Software Development ◽  
Programming Languages ◽  
Social Software ◽  
Graph Database ◽  
Analysis Model ◽  
Development Platform ◽  
Social Collaboration ◽  
Collaboration Platforms ◽  
Shed Light

Web 2.0 technologies have not only raised microblogs, but also social software development and collaboration platforms. GitHub is the most popular software development platform that provides social collaboration. Within the scope of this study, a novel graph-based analysis model is proposed which targets to reveal (1) the characteristics of the GitHub in order to shed light on social software development in general, and (2) the most popular programming languages, repositories, and developers in order to shed light on the trending software development technologies. To this end, a subset of the GitHub network, which contains 84, 737 developers and 209, 100 repositories, was collected through the GitHub API and stored on a graph database namely neo4j to be later analyzed. The result of the analysis shows that (1) the connections in GitHub are not mutually linked, (2) JavaScript, Python, and Java are currently the most popular three programming languages, (3) You-Dont-Know-JS, oh-my-zsh, and public-apis are the most popular three repositories, and (4) TarrySingh (Tarry Singh), indrajithban-dara (Indrajith Bandara), and rootsongjc (Jimmy Song) are the most popular three developers. Furthermore, the proposed novel analysis model can be easily applied to other social networks.

FROM ASSORTATIVE TO DISSORTATIVE NETWORKS: THE ROLE OF CAPACITY CONSTRAINTS

2010 ◽  
Vol 13 (04) ◽  
pp. 483-499 ◽  
Author(s):  
MICHAEL D. KÖNIG ◽  
CLAUDIO J. TESSONE ◽  
YVES ZENOU
Keyword(s):  
Social Networks ◽  
Dynamic Model ◽  
Network Formation ◽  
Capacity Constraints ◽  
Simple Mechanism ◽  
Shed Light

We consider a dynamic model of network formation where agents form and sever links based on the centrality of their potential partners. We show that the existence of capacity constrains in the amount of links an agent can maintain introduces a transition from dissortative to assortative networks. This effect can shed light on the distinction between technological and social networks as it gives a simple mechanism explaining how and why this transition occurs.

scholarly journals Comics in the Arab world. Birth and spread of a new literary genre

2020 ◽  
Vol 31 ◽  
pp. 117-126
Author(s):  
Emanuela De Blasio
Keyword(s):  
Social Networks ◽  
Arab World ◽  
Arab Countries ◽  
The Internet ◽  
Literary Genre ◽  
The West ◽  
Arab Culture ◽  
Different Types ◽  
Shed Light

The research focuses on the birth and development of the comics, a new literary genre in the Arab world. The paper takes into account the dynamics of the advent of comics in the first Arab countries until to our days when comics began to appeal to an adult audience, sometimes taking inspiration from material from the West, sometimes referring to traditional elements of Arab culture. With the advent of the Arab revolutions, this genre has become more widespread and has also been used by artists to express dissent and criticism. Following the fall of dictatorial regimes in some Arab countries, the power of censorship has diminished; this has allowed the proliferation of different types of comics, also thanks to the fundamental role of social networks and the Internet. Through the examination of comics in the Arab world it is possible to shed light on a new literary genre and it is possible to trace the lines of the evolution of its themes and language.

scholarly journals Identifying Influencers in Social Networks

Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 450 ◽  
Author(s):  
Xinyu Huang ◽  
Dongming Chen ◽  
Dongqi Wang ◽  
Tao Ren
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Daily Life ◽  
Multidisciplinary Research ◽  
Multilayer Network ◽  
Online Social Media ◽  
Huge Data ◽  
Real World Datasets ◽  
Shed Light

Social network analysis is a multidisciplinary research covering informatics, mathematics, sociology, management, psychology, etc. In the last decade, the development of online social media has provided individuals with a fascinating platform of sharing knowledge and interests. The emergence of various social networks has greatly enriched our daily life, and simultaneously, it brings a challenging task to identify influencers among multiple social networks. The key problem lies in the various interactions among individuals and huge data scale. Aiming at solving the problem, this paper employs a general multilayer network model to represent the multiple social networks, and then proposes the node influence indicator merely based on the local neighboring information. Extensive experiments on 21 real-world datasets are conducted to verify the performance of the proposed method, which shows superiority to the competitors. It is of remarkable significance in revealing the evolutions in social networks and we hope this work will shed light for more and more forthcoming researchers to further explore the uncharted part of this promising field.

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