scholarly journals EMERGING STRUCTURES IN SOCIAL NETWORKS GUIDED BY OPINIONS' EXCHANGES

2011 ◽  
Vol 14 (01) ◽  
pp. 13-30 ◽  
Author(s):  
TIMOTEO CARLETTI ◽  
SIMONE RIGHI ◽  
DUCCIO FANELLI
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Relationships ◽  
Small World ◽  
Simplified Model ◽  
Weak Ties ◽  
Interacting Agents ◽  
The Social

In this paper, we show that the small world and weak ties phenomena can spontaneously emerge in a social network of interacting agents. This dynamics is simulated in the framework of a simplified model of opinion diffusion in an evolving social network where agents are made to interact, possibly update their beliefs and modify the social relationships according to the opinion exchange.

scholarly journals Analysis of The Utilization of the Social Center for Orangutan Protection (COP) In Kalimantan in Orangutan Saving Efforts

2020 ◽  
Vol 1 (1) ◽  
pp. 9-17
Author(s):  
Octalina Hardiyanti ◽  
Agustin Nurmanina
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Human Resources ◽  
The Other ◽  
Weak Ties ◽  
Power Networks ◽  
Network Stability ◽  
Work Patterns ◽  
The Social ◽  
Local Actors

ABSTRACT: Utilization of the Center for Orangutan Protection (COP) 2 social network in Kalimantan. With the limited number of human resources compared to the wide scope of work in all of Kalimantan, COP makes use of its social networks to meet the needs and the functioning of the organization. In investigative activities, COP has effectively used weak ties to obtain information on the whereabouts of orangutans and the destruction of their habitat. The policies in this activity are also dominated by central actors through their power networks which result in network stability. In contrast to the use of social networks for educational activities, local actors are more dominant in making program policies and work patterns. In the alternation between actors from time to time, there are differences in assumptions and work patterns of the actors in charge, resulting in differences in utilization results and potential network damage. COP can utilize its social network in fulfilling its function as an NGO campaigning for the protection and rescue of orangutans, but on the other hand, COP's bonding social network only connects this NGO with similar organizations, limited to handling cases of orangutans and their habitat. Supporting nature conservation, such as economic, social, and cultural, as part of the needs of the community around the ring habitat is not fulfilled. ABSTRAK: Pemanfaatan jaringan sosial Centre for Orangutan Protection (COP)2 di Kalimantan. Dengan keterbatasan jumlah SDM dibanding luasnya cakupan kerja di seluruh Kalimantan, COP memanfaatkan jaringan sosialnya untuk memenuhi kebutuhan dan berjalannya fungsi organisasi. Dalam kegiatan investigasi COP efektif menggunakan ikatan lemah untuk memperoleh informasi keberadaan orangutan dan perusakan habitatnya. Kebijakan dalam aktivitas ini pun didominasi aktor pusat melalui jaringan powernya yang menghasilkan stabilitas jaringan. Berbeda dengan pemanfaatan jaringan sosial untuk kegiatan edukasi, aktor lokal lebih dominan mengambil kebijakan program dan pola kerja. Dalam pergantian antar aktor pada masa ke masa terdapat perbedaan asumsi dan pola kerja aktor-aktor yang bertugas sehingga menimbulkan perbedaan hasil pemanfaatan hingga potensi terjadinya kerusakan jaringan. COP mampu memanfaatkan jaringan sosialnya dalam memenuhi fungsinya sebagai LSM yang mengkampanyekan perlindungan dan penyelamatan orangutan, namun sisi lainnya jaringan sosial COP yang bersifat bonding (tertutup) hanya menghubungkan LSM ini dengan organisasi sejenis terbatas pada penanganan kasus orangutan dan habitatnya. Pendukung konservasi alam seperti ekonomi, sosial dan budaya sebagai bagian dari kebutuhan masyarakat di sekitar ring habitat tak terpenuhi.

scholarly journals Social networks, accessed and mobilised social capital and the employment status of older workers

2019 ◽  
Vol 39 (5/6) ◽  
pp. 356-375 ◽  
Author(s):  
Kaberi Gayen ◽  
Robert Raeside ◽  
Ronald McQuaid
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Network ◽  
Older People ◽  
Job Search ◽  
Older Workers ◽  
Weak Ties ◽  
Strong Ties ◽  
Content Type ◽  
The Social

Purpose The purpose of this paper is to demonstrate the importance of social networks, and the social capital embedded in them, to secure employment if someone had become unemployed after the age of 50 years and to reveal the process of accessing and mobilising that social capital. Design/methodology/approach A case study of a Scottish labour market was undertaken which involved an interview-based survey of those who became unemployed in their early 50’s and tried to regain employment. The interview had structured and unstructured parts which allowed both quantitative and qualitative analysis to compare those who were successful in regaining work with those who were not. The uniqueness of the paper is the use of social network components while controlling for other socio-economic and demographic variables in job search of older workers. Findings Those older people who were unemployed and, returned to employment (reemployed) had a higher proportion of contacts with higher prestige jobs, their job searching methods were mainly interpersonal and the rate of finding their last job via their social networks was higher than those who remained unemployed. Both groups mobilised social capital (MSC), but those reemployed accessed higher “quality” social capital. “Strong ties”, rather than “weak ties”, were found to be important in accessing and mobilising social capital for the older workers who returned to employment. Research limitations/implications This work is limited to a local labour market and is based on a small but informative sample. However, it does show that policy is required to allow older people to enhance their social networks by strengthening the social capital embedded in the networks. The results support the use of intermediaries as bridges to help compensate for older people who have weak social networks. Besides the policy implications, the paper also has two distinct research implications. First, the use of social network component to the existing literature of older workers’ job search. Second, exploring the type and relational strength with network members to explain older workers’ reemployment. Practical implications The paper illustrates that how accessed and MSC can be measured. Social implications As populations age, this work points to an approach to support older people to re-enter employment and to include them in society. Originality/value The paper extends social network and employment literature to fill gaps on how older people require to both access and mobilise social capital. The importance of “strong ties” in the reemployment of older workers contrasts with much of the literature on younger workers where the “strength of weak ties” so far has been regarded as essential for successful job search. Measures are forwarded to reveal the relevance of social capital. The policy value of the work is in suggesting ways to facilitate older people re-enter or remain in work and hence sustain their well-being.

scholarly journals Application of social network analysis for information to third sector publishing house

2013 ◽  
Vol 7 ◽  
Author(s):  
Marcos Luiz Mucheroni ◽  
Gonçalo Costa Ferreira
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Publishing House ◽  
Third Sector ◽  
Weak Ties ◽  
Practical Application ◽  
The Social ◽  
Strength Of Weak Ties

This paper presents and discusses some of the results of practical application of Social Network Analysis for Information (SNA) to a nonprofit organization, the publishing house Cidade Nova. The article starts by presenting the empirical and methodological options and refers the social networks basic terminology, after which the research procedures are detailed. Lastly, results from the actors Information Social Network (ISN) and from the complete ISN (where alters are included) are presented, to which were used degree, closeness and betweenness centralities, the strength of weak ties of Granovetter and the lambda (?) set measures.

The Application of Social Network Theory During a Pandemic

2022 ◽  
pp. 188-203
Author(s):  
Nashrawan Taha ◽  
Azzah Al-Maskeri
Keyword(s):  
Social Capital ◽  
Social Media ◽  
Social Network ◽  
Network Theory ◽  
Small World ◽  
Social Network Theory ◽  
Weak Ties ◽  
The Social ◽  
Strength Of Weak Ties ◽  
Theoretical Overview

This chapter provides a theoretical overview of social network theory, given the widespread of social media during the COVID-19 outbreak. It mainly focuses on three social network theories (the social capital and structural halls, the strength of weak ties, and the small-world). It gives insights into how different researchers have examined these theories during the pandemics and how they have been used in exchanging and communicating information during pandemics. In addition, it reviews previous research concerning how epidemic propagation often happens based on these theories.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

The Oxford Handbook of Social Networks

2020 ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Life ◽  
Information Science ◽  
Computational Social Science ◽  
The Social ◽  
Diverse Field ◽  
The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

Comparing the social networks of service users with long term mental health needs living in community with those in a general adult in-patient unit

2021 ◽  
pp. 002076402110175
Author(s):  
Roberto Rusca ◽  
Ike-Foster Onwuchekwa ◽  
Catherine Kinane ◽  
Douglas MacInnes
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Network ◽  
Patient Group ◽  
Mental Health Problems ◽  
Well Being ◽  
Health Problems ◽  
Practical Support ◽  
The Social

Background: Relationships are vital to recovery however, there is uncertainty whether users have different types of social networks in different mental health settings and how these networks may impact on users’ wellbeing. Aims: To compare the social networks of people with long-term mental illness in the community with those of people in a general adult in-patient unit. Method: A sample of general adult in-patients with enduring mental health problems, aged between 18 and 65, was compared with a similar sample attending a general adult psychiatric clinic. A cross-sectional survey collected demographic data and information about participants’ social networks. Participants also completed the Short Warwick Edinburgh Mental Well-Being Scale to examine well-being and the Significant Others Scale to explore their social network support. Results: The study recruited 53 participants (25 living in the community and 28 current in-patients) with 339 named as important members of their social networks. Both groups recorded low numbers in their social networks though the community sample had a significantly greater number of social contacts (7.4 vs. 5.4), more monthly contacts with members of their network and significantly higher levels of social media use. The in-patient group reported greater levels of emotional and practical support from their network. Conclusions: People with serious and enduring mental health problems living in the community had a significantly greater number of people in their social network than those who were in-patients while the in-patient group reported greater levels of emotional and practical support from their network. Recommendations for future work have been made.

scholarly journals The switching mechanisms of social network densification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teruyoshi Kobayashi ◽  
Mathieu Génois
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Context ◽  
Social Interactions ◽  
Regime Switching ◽  
Face To Face ◽  
The Social ◽  
Switching Property ◽  
Distinctive Type ◽  
Insight Into

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

Social Networks, Their Basic Factors, as Well as Their Role in Society and the State in the Context of Digital Transformation

2020 ◽  
Vol 144 ◽  
pp. 26-35
Author(s):  
Rem V. Ryzhov ◽  
◽  
Vladimir A. Ryzhov ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Life Support ◽  
Social Institutions ◽  
The State ◽  
Main Task ◽  
Organizational Models ◽  
Control Center ◽  
The Social ◽  
Single Strategy

Society is historically associated with the state, which plays the role of an institution of power and government. The main task of the state is life support, survival, development of society and the sovereignty of the country. The main mechanism that the state uses to implement these functions is natural social networks. They permeate every cell of society, all elements of the country and its territory. However, they can have a control center, or act on the principle of self-organization (network centrism). The web is a universal natural technology with a category status in science. The work describes five basic factors of any social network, in particular the state, as well as what distinguishes the social network from other organizational models of society. Social networks of the state rely on communication, transport and other networks of the country, being a mechanism for the implementation of a single strategy and plan. However, the emergence of other strong network centers of competition for state power inevitably leads to problems — social conflicts and even catastrophes in society due to the destruction of existing social institutions. The paper identifies the main pitfalls using alternative social networks that destroy the foundations of the state and other social institutions, which leads to the loss of sovereignty, and even to the complete collapse of the country.

Factors Affecting Individual Level ERP Assimilation in a Social Network Perspective

2017 ◽  
Vol 25 (3) ◽  
pp. 21-39 ◽  
Author(s):  
Luan Gao ◽  
Luning Liu ◽  
Yuqiang Feng
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Interactive Learning ◽  
Influential Factors ◽  
Three Dimensions ◽  
Organizational Level ◽  
Key Factors ◽  
Factors Affecting ◽  
Individual Level ◽  
The Social

Prior research on ERP assimilation has primarily focused on influential factors at the organizational level. In this study, the authors attempt to extend their understanding of individual level ERP assimilation from the perspective of social network theory. They designed a multi-case study to explore the relations between ERP users' social networks and their levels of ERP assimilation based on the three dimensions of the social networks. The authors gathered data through interviews with 26 ERP users at different levels in five companies. Qualitative analysis was used to understand the effects of social networks and interactive learning. They found that users' social networks play a significant role in individual level ERP assimilation through interactive learning among users. They also found five key factors that facilitate users' assimilation of ERP knowledge: homophily (age, position and rank), tie content (instrumental and expressive ties), tie strength, external ties, and centrality.

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