scholarly journals Comparison of social structures within cities of very different sizes

2016 ◽  
Vol 3 (2) ◽  
pp. 150526 ◽  
Author(s):  
P. Grindrod ◽  
T. E. Lee
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Structure ◽  
Social Structures ◽  
Twitter Data ◽  
Novel Approach ◽  
The Social ◽  
Wide Range ◽  
Virtual City

People make a city, making each city as unique as the combination of its inhabitants. However, some cities are similar and some cities are inimitable. We examine the social structure of 10 different cities using Twitter data. Each city is decomposed to its communities. We show that in many cases one city can be thought of as an amalgamation of communities from another city. For example, we find the social network of Manchester is very similar to the social network of a virtual city of the same size, where the virtual city is composed of communities from the Bristol network. However, we cannot create Bristol from Manchester since Bristol contains communities with a social structure that are not present in Manchester. Some cities, such as Leeds, are outliers. That is, Leeds contains a particularly wide range of communities, meaning we cannot build a similar city from communities outside of Leeds. Comparing communities from different cities, and building virtual cities that are comparable to real cities, is a novel approach to understand social networks. This has implications when using social media to inform or advise residents of a city.

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.

scholarly journals Study of Automotive Brands Popularity in Indonesia Using Twitter Data

2016 ◽  
Vol 3 (1) ◽  
pp. 23-33
Author(s):  
Stevent Efendi ◽  
Alva Erwin ◽  
Kho I Eng
Keyword(s):  
Social Media ◽  
Social Network ◽  
Sentiment Analysis ◽  
Automotive Industry ◽  
Real World ◽  
The Internet ◽  
Brand Preference ◽  
Twitter Data ◽  
Wide Range ◽  
Widespread Phenomenon

Social media has been a widespread phenomenon in the recent years. People shared a lot of thought in social media, and these data posted on the internet could be used for study and researches. As one of the fastest growing social network, Twitter is a particularly popular social media to be studied because it allows researchers to access their data. This research will look the correlation between Twitter chatter of a brand and the sales of brands in Indonesia. Factors such as sentiment and tweet rate are expected to be able to predict the popularity of a brand. Being one of the biggest industries in Indonesia, automotive industry is an interesting subject to study. A wide range of people buys vehicles, and even gather as communities based on their car or motorcycle brand preference. The Twitter results of sentiment analysis and tweet rate will be compared with real world sales results published by GAIKINDO and AISI.

scholarly journals tugas review artikel

2019 ◽  
Author(s):  
Arlika Anindya Putri
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Firm Performance ◽  
Positive Impact ◽  
Social Capital Theory ◽  
Capital Theory ◽  
Mediating Role ◽  
The Social

Purpose – The purpose of this study is to develop a structural equation model to explain the complexrelationship between social network and firm performance by introducing the mediating role of trust, sellingcapability and pricing capability.Design/methodology/approach – The research model with hypothesis development was derived basedon the literature. To provide empirical evidence, this study carried out a survey in which the data wereequated with a list of questionnaires with a random survey of 380 small and medium enterprises (SMEs) inthe Indonesian context.Findings – This study indicates that the use of social media in management process will not affect theincreasing firm performance, unless the firms build trust upon social networks. The social network with trustallows the firms to gain a pricing capability and a selling capability, which brings a positive impact on firmperformance. The results also show that the selling and the pricing capabilities become essential following theutilizing the social media, which concerns on trust building.Research limitations/implications – This study focused on the small-to-medium context, which hasconventionally provided an exemplary site for the development of social capital theory but raises issues ofgeneralizability across different contexts.Practical implications – To the managers, it is advisable to encourage their employees to consciouslyexploit the selling capability by enhancing the business networks via social media to achieve the firmperformance.Originality/value – This paper contributes to the social capital theory by explaining the mediating role oftrust in the complex relationship between social network and firm performance. This study provides evidencethat trust plays a pivotal role in social networks, which enable the observed firms to achieve the performance.

Socio-Technical Attack Approximation Based on Structural Virality of Information in Social Networks

2021 ◽  
Vol 15 (1) ◽  
pp. 153-172
Author(s):  
Preetish Ranjan ◽  
Abhishek Vaish
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Latent Structure ◽  
The Social ◽  
High Skill ◽  
The Way

A free and easily accessible platform for sharing information over social media has its negatives. It is being misused to intimidate others by exploiting the trust factor inherent within it. This paper is on the persistent pursuit of offering an exquisite solution to address this possible misuse of social media also called STAs and their subsequent impacts on society. These attacks are very sensitive to society and often organized groups with a high skill set are involved to disguise the security agencies. In this work, a model has been proposed to approximate socio-technical attack subject to the structural virality of information in the social network. The work is unique in the sense that previous works are mostly based on statistical values of the network but the proposed work considers the latent structure of the network which is not being reflected from their statistical values. This also paves the way for future researchers to implant other hidden features of nodes and messages circulating within the network which could be helpful for the detection and mitigation of STAs.

Analyzing Social Networks to Mine Important Friends

2013 ◽  
pp. 90-104 ◽  
Author(s):  
Carson K.-S. Leung ◽  
Irish J. M. Medina ◽  
Syed K. Tanbeer
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Networking Sites ◽  
Web Based ◽  
The Social ◽  
Social Entity ◽  
Social Entities ◽  
Media Data ◽  
Media Mining

The emergence of Web-based communities and social networking sites has led to a vast volume of social media data, embedded in which are rich sets of meaningful knowledge about the social networks. Social media mining and social network analysis help to find a systematic method or process for examining social networks and for identifying, extracting, representing, and exploiting meaningful knowledge—such as interdependency relationships among social entities in the networks—from the social media. This chapter presents a system for analyzing the social networks to mine important groups of friends in the networks. Such a system uses a tree-based mining approach to discover important friend groups of each social entity and to discover friend groups that are important to social entities in the entire social network.

Influential Nodes in Social Networks

2020 ◽  
pp. 371-385
Author(s):  
Kousik Das ◽  
Rupkumar Mahapatra ◽  
Sovan Samanta ◽  
Anita Pal
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Structure ◽  
The Social ◽  
Different Types ◽  
Influential Nodes

Social network is the perfect place for connecting people. The social network is a social structure formed by a set of nodes (persons, organizations, etc.) and a set of links (connection between nodes). People feel very comfortable to share news and information through a social network. This chapter measures the influential persons in different types of online and offline social networks.

Developing Marketing Strategy on Social Networks

2018 ◽  
pp. 66-82
Author(s):  
Boris Milović
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Nonprofit Organizations ◽  
Public Awareness ◽  
Winning Strategy ◽  
Marketing Performance ◽  
Wide Range ◽  
And Training

Social networks have proven to be very convenient and effective medium for the spreading of marketing messages, advertising, branding and promotion of products and services. Social networks offer companies, nonprofit organizations, political parties etc. sending certain messages for free. In addition, they allow companies access to a wide range of characteristics of their users. Developing appropriate, the winning strategy for marketing in social media is a comprehensive, time-intensive process therefore it is important to know to manage their content. Social networks transform certain classical approaches to marketing. They provide creative and relatively easy way to increase public awareness of the company and its products, and facilitate obtaining feedback and decision making. These are sources of different information about users and groups that they've joined. The success itself of marketing performance on a social network depends on the readiness and training of organizations to perform on them.

Social Network: A New Perspective on Independence and Illiterate Adults

1983 ◽  
Vol 33 (3) ◽  
pp. 133-146 ◽  
Author(s):  
Arlene Fingeret
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Participant Observation ◽  
Urban Setting ◽  
Social Structures ◽  
Literacy Programs ◽  
Interdependent Networks ◽  
The Social ◽  
New Perspective ◽  
Illiterate Adults

This study explores the social structures illiterate adults create, and their relationship to notions of dependence and independence. In-depth unstructured interviews and participant-observation were used with 43 adults in a medium-sized northeastern urban setting. Analysis shows that illiterate adults create social networks that include readers and are characterized by mutuality. Illiterate adults contribute a range of skills to their networks and see themselves as interdependent. Networks are related to the extent to which illiterate adults are involved in the larger society; this ranges from extensive, for cosmopolitans, to minimal for local adults. Dependent adults have networks that are characterized by asymmetrical relationships. Literacy programs must learn to respond to adults-in-networks.

scholarly journals Offspring social network structure predicts fitness in families

2012 ◽  
Vol 279 (1749) ◽  
pp. 4914-4922 ◽  
Author(s):  
Nick J. Royle ◽  
Thomas W. Pike ◽  
Philipp Heeb ◽  
Heinz Richner ◽  
Mathias Kölliker
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Structure ◽  
Conflicts Of Interest ◽  
Parus Major ◽  
Social Structures ◽  
Emergent Properties ◽  
Social Network Structure ◽  
The Social ◽  
The Individual

Social structures such as families emerge as outcomes of behavioural interactions among individuals, and can evolve over time if families with particular types of social structures tend to leave more individuals in subsequent generations. The social behaviour of interacting individuals is typically analysed as a series of multiple dyadic (pair-wise) interactions, rather than a network of interactions among multiple individuals. However, in species where parents feed dependant young, interactions within families nearly always involve more than two individuals simultaneously. Such social networks of interactions at least partly reflect conflicts of interest over the provision of costly parental investment. Consequently, variation in family network structure reflects variation in how conflicts of interest are resolved among family members. Despite its importance in understanding the evolution of emergent properties of social organization such as family life and cooperation, nothing is currently known about how selection acts on the structure of social networks. Here, we show that the social network structure of broods of begging nestling great tits Parus major predicts fitness in families. Although selection at the level of the individual favours large nestlings, selection at the level of the kin-group primarily favours families that resolve conflicts most effectively.

The Alt-social Network of Natalie Bookchin’s Testament

2016 ◽  
Vol 18 (5) ◽  
pp. 459-477
Author(s):  
Sarah Whitcomb Laiola
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Online Social Networks ◽  
Social Web ◽  
User Interactions ◽  
Media Criticism ◽  
Direct Translation ◽  
The Social

This article addresses issues of user precarity and vulnerability in online social networks. As social media criticism by Jose van Dijck, Felix Stalder, and Geert Lovink describes, the social web is a predatory system that exploits users’ desires for connection. Although accurate, this critical description casts the social web as a zone where users are always already disempowered, so fails to imagine possibilities for users beyond this paradigm. This article examines Natalie Bookchin’s composite video series, Testament, as it mobilizes an alt-(ernative) social network of vernacular video on YouTube. In the first place, the alt-social network works as an iteration of “tactical media” to critically reimagine empowered user-to-user interactions on the social web. In the second place, it obfuscates YouTube’s data-mining functionality, so allows users to socialize online in a way that evades their direct translation into data and the exploitation of their social labor.

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