What is contact?

2012 ◽  
Author(s):  
Odo Diekmann ◽  
Hans Heesterbeek ◽  
Tom Britton
Keyword(s):  
Social Networks ◽  
Small Groups ◽  
Entire Population ◽  
Pair Approximation ◽  
Approximation Technique ◽  
Infection Transmission ◽  
Graphs And Networks ◽  
Fixed Subset ◽  
Group Contact ◽  
Contact Graphs

This chapter focuses on the myriad ways in which one can model contacts between individuals. The two most important aspects of contacts for infection transmission are (1) the number of contacts per unit of time, and (2) the number of different individuals with whom these contacts occur. Aspect 1 is concerned not only with variation in the number of transmission opportunities during a pairing, but also with the duration of the pairing. Aspect 2 concerns spatial or social networks with variation in the set of potential “contactees.” This could be the entire population, a dynamic subset of the population, or a fixed subset of the population. The remainder of the chapter discusses the new aspects that arise in heterogeneous populations where different types of individuals are recognized; consistency conditions; populations that consist of very many small groups, like a community of households, with intense within-group contact; graphs and networks; and the pair approximation technique.

scholarly journals Using the New Media by Companies From the Sme Sector in Podkarpackie Province

2018 ◽  
Vol 4 (2) ◽  
pp. 85-95 ◽  
Author(s):  
Justyna Masłyk
Keyword(s):  
Social Networks ◽  
Social Media ◽  
New Media ◽  
Entire Population ◽  
The Internet ◽  
Research Project ◽  
Media Development ◽  
Preliminary Results ◽  
Online Presence ◽  
Use Of Social Media

Abstract The main purpose of this article is to present the results of research concerning the use of social media by companies from the SME sector in Podkarpackie Province. The article includes data obtained in the first stage of the study, which is a part of a research project on the use of social media in the area of creating the image of an organization / company as an employer.The survey covered the entire population of companies from the SME sector, which are registered in Podkarpackie Province (REGON database). The research phase, the results of which are presented in this article, mainly involved the analysis of data on companies from the SME sector in Podkarpackie Province in terms of their presence on the Internet (having an individual website, having company profiles on selected social networks). The results of the first stage of the study confirm that the companies see the potential of the online presence / functioning in social media (more and more companies have their own website, Facebook profiles). The dynamics of changes in this area is definitely not adequate to the pace of new media development. On the basis of preliminary results of further stages of the research, it can also be concluded that in the vast majority of cases, however, these are non-strategic and non-systematic activities.

The Network Scale-Up Method

2020 ◽  
pp. 152-169
Author(s):  
Tyler H. McCormick
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Count Data ◽  
Scale Up ◽  
Entire Population ◽  
Relational Data ◽  
Sampling Techniques ◽  
Probability Sampling ◽  
Network Scale ◽  
Standard Probability

The network scale-up method is one of a series of methods that leverage a respondent’s social network to more effectively capture information about specific groups or about the population as a whole. The network scale-up method works with questions that are known as aggregated relational data (ARD). These questions take the form “How many Xs do you know?” That is, ARD are count data consisting of the number of connections between a respondent and individuals with a specific characteristic. Critically, ARD do not involve observing any links in the network and are collected using standard probability sampling techniques. The main focus of this chapter is estimating the size of a group of individuals using ARD and the network scale-up method. As the name implies, the method uses information for survey respondents’ social networks to “scale up” to an entire population.

Give Attention to Overlapping Network Detection in Networks for Multimedia

2019 ◽  
Vol 16 (8) ◽  
pp. 3173-3177
Author(s):  
Mercy Paul Selvan ◽  
Akansha Gupta ◽  
Anisha Mukherjee
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Recommender Systems ◽  
Small Groups ◽  
Network Nodes ◽  
Network Discovery ◽  
Multimedia Social Networks ◽  
Overlapping Community

Finding overlapping agencies from multimedia social networks is an thrilling and important trouble in records mining and recommender systems but, existing overlapping network discovery often generates overlapping community structures with superfluous small groups. Network detection in a multimedia and social network is a conducive difficulty in the network gadget and it helps to understand and learn the overall network shape in element. Those are essentially the dividing wall of network nodes into a few subgroups in which nodes within these subgroups are densely linked, but the connections are sparser in between the subgroups. Social network analysis is widely widespread domain which draws the attention of many information mining experts. Some wide variety of actual community common characteristics which it shares are facebook, Twitter show off the idea of network shape inside the community. Social network is represented as a community graph. Detecting the groups entails locating the densely linked nodes.

scholarly journals Difusión de productos a través de redes sociales: una revisión bibliográfica utilizando la teoría de grafos

Respuestas ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 28-42 ◽  
Author(s):  
Sebastián Robledo-Giraldo ◽  
Néstor Darío Duque-Méndez ◽  
Jorge Iván Zuluaga-Giraldo
Keyword(s):  
Social Networks ◽  
Graph Theory ◽  
Social Networking ◽  
Small Groups ◽  
State Of The Art ◽  
Marketing Strategies ◽  
External Factors ◽  
Future Research ◽  
Redes Sociales ◽  
Internal And External Factors

 La difusión de productos a través de redes sociales es un campo de aplicación del mercadeo, donde la decisión de compra de un consumidor es influenciada por factores internos y externos como su red de conocidos y familiares. El propósito de esta investigación es identificar las principales perspectivas y plantear futuras investigaciones, apoyados en la revisión selectiva del estado del arte. Para la orientación de la búsqueda y la selección de artículos se utilizó la teoría de grafos, aprovechando las posibilidades de reconocer las conexiones entre los diferentes trabajos, arrojando para su análisis 18 artículos clásicos y 23 artículos actuales. A partir de esto se obtuvo, como resultado de la investigación, cuatro (4) estrategias de mercadeo diferentes: enfocadas a los influenciadores, a los no influenciadores, grupos pequeños y estrategias tradicionales de mercadeo.Palabras clave: difusión de productos, redes sociales, teoría de grafos. ABSTRACT  The diffusion of products through social networking is an application field of marketing, where the buying decision of a consumer is influenced by internal and external factors as their network of friends and relatives. The purpose of this research is to identify the main perspectives and propose future research, supported in state of the art selective review. As input for the orientation of search and articles selection, graph theory was used, leveraging the odds of recognizing the links among different works, providing for analysis 18 classic articles and 23 current articles. The result of the investigation showed four different marketing strategies: focused on influencers, non-influencers, small groups and traditional marketing strategies.Keywords: diffusion of products, social networks, graph theory.

The Non-Party Sector of the Radical Right

2018 ◽  
Author(s):  
John Veugelers ◽  
Gabriel Menard
Keyword(s):  
United States ◽  
Social Networks ◽  
Small Groups ◽  
Party System ◽  
Voluntary Associations ◽  
Economic Globalization ◽  
The United States ◽  
Radical Right ◽  
Future Research ◽  
Social Bases

This chapter examines radical right publishers, intellectual schools, parallel organizations, voluntary associations, small groups, political sects, and families. Party and non-party sectors of the radical right share common projects. They interact with each other, and the boundaries between their memberships, social networks, and formal or informal organizations overlap. Yet the non-party sector retains important specificities. Apart from identifying its social bases, main activities, organizational forms, and ideological orientations, this chapter attends to variations across Europe and between Europe and the United States. The conclusion proposes directions for future research: (1) fill in empirical gaps that emerge from an overview of the literature, (2) examine if interaction between economic globalization and welfare protection explains the strength of the non-party sector, and (3) test the hypothesis that a centripetal party system with a weak boundary between moderate and radical right favors the non-party sector of the radical right.

From Small Groups to Social Networks

1981 ◽  
Vol 24 (5) ◽  
pp. 681-694 ◽  
Author(s):  
Richard D. Alba
Keyword(s):  
Social Networks ◽  
Small Groups
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