scholarly journals Triadic analysis of affiliation networks

2015 ◽  
Vol 3 (4) ◽  
pp. 480-508 ◽  
Author(s):  
JASON CORY BRUNSON
Keyword(s):  
Social Networks ◽  
Clustering Coefficient ◽  
Affiliation Networks ◽  
Instrumental Assessment ◽  
Triadic Closure ◽  
The One

AbstractTriadic closure has been conceptualized and measured in a variety of ways, most famously the clustering coefficient. Existing extensions to affiliation networks, however, are sensitive to repeat group attendance, which does not reflect common interpersonal interpretations of triadic closure. This paper proposes a measure of triadic closure in affiliation networks designed to control for this factor, which manifests in bipartite models as biclique proliferation. To avoid arbitrariness, the paper introduces a triadic framework for affiliation networks, within which a range of measures can be defined; it then presents a set of basic axioms that suffice to narrow this range to the one measure. An instrumental assessment compares the proposed and two existing measures for reliability, validity, redundancy, and practicality. All three measures then take part in an investigation of three empirical social networks, which illustrates their differences.

scholarly journals Emergence and evolution of social networks through exploration of the Adjacent Possible space

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Enrico Ubaldi ◽  
Raffaella Burioni ◽  
Vittorio Loreto ◽  
Francesca Tria
Keyword(s):  
Social Networks ◽  
Community Structure ◽  
Social Interactions ◽  
Clustering Coefficient ◽  
Human Beings ◽  
Broad Distribution ◽  
Phone Calls ◽  
Dynamical Features ◽  
Twitter Users ◽  
American Physical

AbstractThe interactions among human beings represent the backbone of our societies. How people establish new connections and allocate their social interactions among them can reveal a lot of our social organisation. We leverage on a recent mathematical formalisation of the Adjacent Possible space to propose a microscopic model accounting for the growth and dynamics of social networks. At the individual’s level, our model correctly reproduces the rate at which people acquire new acquaintances as well as how they allocate their interactions among existing edges. On the macroscopic side, the model reproduces the key topological and dynamical features of social networks: the broad distribution of degree and activities, the average clustering coefficient and the community structure. The theory is born out in three diverse real-world social networks: the network of mentions between Twitter users, the network of co-authorship of the American Physical Society journals, and a mobile-phone-calls network.

scholarly journals Commercial Limits to Personality: Instagram Influencers and Commoditized Content Receptivity

Societies ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 77
Author(s):  
Tyler Horan
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Identity ◽  
The Other ◽  
Audience Reception ◽  
Media Audiences ◽  
Unique Identity ◽  
The One ◽  
Commercial Relationships ◽  
Network Power

Social media influencers-individuals who utilize various forms of network power on social networks occupy a unique identity space. On the one hand, their network power is often tied to their social identity as creators of engaging material. On the other hand, their ability to promote commercial products and services steps outside the traditionally distinct commercial–social, occupational–personal divides. In this work, the network morphologies of influencers are explored in relation to their delivery of sponsored and non-sponsored content. This article explores how the disclosure of content as ‘sponsored’ affects audience reception. We show how that the promotion of content on social media often generates higher levels of engagement and receptiveness amongst their audience despite the platform’s assumption of organic non-commercial relationships. We find that engagement levels are highest among smaller out-degree networks. Additionally, we demonstrate that sponsored content not only returns a higher level of engagement, but that the effect of sponsorship is relatively consistent across out-degree network sizes. In sum, we suggest that social media audiences are not sensitive to commercial sponsorship when tied to identity, as long as that performance is convincing and consistent.

scholarly journals SOCIAL NETS AS A NEW FACTOR OF SYSTEM SECURITY IN RUSSIA IN THE 21ST CENTURY

2016 ◽  
pp. 14-23
Author(s):  
S. A. Kravchenko ◽  
A. I. Podberezkin
Keyword(s):  
Social Networks ◽  
Global Network ◽  
Global Risk ◽  
Security Risks ◽  
Security Issues ◽  
Political Conflicts ◽  
Contemporary Politics ◽  
Policy Objectives ◽  
The One

The article analyzes the interconnection of social aspects of the Internet and security issues in Russia. It shows that contemporary realities acquire global network character that has ambivalent impact on the development of civilizational and social interactions. On the one hand, social networks offer new opportunities for interaction between people living in different countries, on the other hand - they can be used for exclusion at the global level which objectively produces new risks and vulnerabilities. Special consideration is given to fabrication of global risk in social networks, which may provoke military-political conflicts and even wars. In the context of growing pragmatism and globalization of activities of agents of Western civilization the networks take on the quality of the new and highly effective weapon intended to destroy and destroy high-priority policy objectives. The authors analyze the nature of contemporary politics and the war from the perspective of social networks as policy and war tools. Overcoming new security risks and vulnerabilities authors see in the ways of changing the vector of development of scientific knowledge from a pragmatic to a humanist mode.

Il radicamento di una comunitŕ di Xoraxanč Romŕ a Roma

2009 ◽  
pp. 67-84
Author(s):  
Marco Solimene
Keyword(s):  
Social Networks ◽  
Social Network ◽  
The Other ◽  
Present Contribution ◽  
Other Hand ◽  
The One ◽  
The City

- The present contribution examines the rootedness of a community of xoraxané romá in the city of Rome; rather than simply the continuity of presence in a specific territory, under consideration is the development and maintenance of social networks with the Roman population, specifically in the territories romá reside and/or work in. Further on, the paper describes how rootedness may be conjugated with some forms of mobility: on the one hand, the continuity in specific areas (of work and in some cases of residence), can be maintained through practices of urban circulation; on the other hand, especially when mobility turns on national and transnational scale, the presence - although mobile and changing - of romá who belong to the same social network, spread among different territories, enables singular domestic units to maintain, despite mobility, a continuity with several non-rom realities.

scholarly journals Building Topic-Driven Virtual IoTs in a Multiple IoTs Scenario

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2956 ◽  
Author(s):  
Paolo Lo Giudice ◽  
Antonino Nocera ◽  
Domenico Ursino ◽  
Luca Virgili
Keyword(s):  
Social Networks ◽  
Internet Of Things ◽  
Social Networking ◽  
Virtual Communities ◽  
The Internet ◽  
The Real ◽  
Challenging Issue ◽  
The One ◽  
The Internet Of Things ◽  
Made In

In the last years, several attempts to combine the Internet of Things (IoT) and social networking have been made. In the meantime, things involved in IoT are becoming increasingly sophisticated and intelligent, showing a behavior that tends to look like the one of users in social networks. Therefore, it is not out of place to talk about profiles of things and about information and topics exchanged among them. In such a context, constructing topic-driven virtual communities starting from the real ones operating in a Multi-IoT scenario is an extremely challenging issue. This paper aims at providing some contributions in this setting. First of all, it presents the concept of profile of a thing. Then, it introduces the concept of topic-guided virtual IoT. Finally, it illustrates two approaches (one supervised and one unsupervised) to constructing topic-guided virtual IoTs in a Multi-IoT scenario.

scholarly journals Cumulative effects of triadic closure and homophily in social networks

2020 ◽  
Vol 6 (19) ◽  
pp. eaax7310 ◽  
Author(s):  
Aili Asikainen ◽  
Gerardo Iñiguez ◽  
Javier Ureña-Carrión ◽  
Kimmo Kaski ◽  
Mikko Kivelä
Keyword(s):  
Social Networks ◽  
Communication Networks ◽  
Empirical Studies ◽  
Network Evolution ◽  
Cumulative Effects ◽  
Small Individual ◽  
Individual Level ◽  
Social Network Structure ◽  
Triadic Closure ◽  
Dynamic Interplay

Social network structure has often been attributed to two network evolution mechanisms—triadic closure and choice homophily—which are commonly considered independently or with static models. However, empirical studies suggest that their dynamic interplay generates the observed homophily of real-world social networks. By combining these mechanisms in a dynamic model, we confirm the longheld hypothesis that choice homophily and triadic closure cause induced homophily. We estimate how much observed homophily in friendship and communication networks is amplified due to triadic closure. We find that cumulative effects of homophily amplification can also lead to the widely documented core-periphery structure of networks, and to memory of homophilic constraints (equivalent to hysteresis in physics). The model shows that even small individual bias may prompt network-level changes such as segregation or core group dominance. Our results highlight that individual-level mechanisms should not be analyzed separately without considering the dynamics of society as a whole.

scholarly journals Bipartite Structures in Social Networks: Traditional versus Entropy-Driven Analyses

Entropy ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. 277
Author(s):  
Wilhelm Rödder ◽  
Andreas Dellnitz ◽  
Friedhelm Kulmann ◽  
Sebastian Litzinger ◽  
Elmar Reucher
Keyword(s):  
Social Networks ◽  
Maximum Entropy ◽  
Point Of View ◽  
Theoretical Point ◽  
Generic Structure ◽  
New Approach ◽  
Affiliation Networks ◽  
Principle Of Maximum Entropy ◽  
Affiliation Network ◽  
Principle Of Maximum

A special type of social networks is the so-called affiliation network, consisting of two modes of vertices: actors and events. Up to now, in the undirected case, the closeness of actors in such networks has been measured by their jointly-attended events. Indirect contacts and attenuated and directed links are of minor interest in affiliation networks. These flaws make a veritable estimation of, e.g., possible message transfers amongst actors questionable. In this contribution, first, we discuss these matters from a graph-theoretical point of view. Second, so as to avoid the identified weaknesses, we propose an up-and-coming entropy-based approach for modeling such networks in their generic structure, replacing directed (attenuated) links by conditionals: if-then. In this framework, the contribution of actors and events to a reliable message transfer from one actor to another—even via intermediaries—is then calculated applying the principle of maximum entropy. The usefulness of this new approach is demonstrated by the analysis of an affiliation network called “corporate directors”.

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