Multilevel Visualization Using Enhanced Social Network Analysis with Smartphone Data

2013 ◽  
Vol 5 (4) ◽  
pp. 34-54 ◽  
Author(s):  
Panagiotis Andriotis ◽  
Zacharias Tzermias ◽  
Anthi Mparmpaki ◽  
Sotiris Ioannidis ◽  
George Oikonomou
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Direct Marketing ◽  
Forensic Analysis ◽  
Three Dimensions ◽  
Fully Integrated ◽  
Aggregate Information ◽  
The Social ◽  
Correlated Information

While technology matures and becomes more productive, mobile devices can be affordable and, consequently, fully integrated in people's lives. After their unexpected bloom and acceptance, Online Social Networks are now sources of valuable information. The authors therefore use them for tasks varying from direct marketing to forensic analysis. The authors have already seen Social Network Forensics techniques focused on particular networks implementing methods that collect data from user accounts. During the forensic analysis it is common to aggregate information from different sources but, usually, this procedure causes correlation problems. Here, the authors present their method to correlate data gathered from various social networks in combination with smartphones creating a new form of social map of the user under investigation. In addition, the authors introduce a multi level graph that utilises the correlated information from the smartphone and the social networks and demonstrates in three dimensions the relevance of each contact with the suspect.

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.

Building Online Social Networks to Engage Female Students in Information Systems

2015 ◽  
Vol 10 (4) ◽  
pp. 33-51
Author(s):  
Jaymeen R. Shah ◽  
Hsun-Ming Lee
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Information Systems ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Role Models ◽  
Online Social Network ◽  
Research Process ◽  
Female Students ◽  
The Social

During the next decade, enrollment growth in Information Systems (IS) related majors is unlikely to meet the predicted demand for qualified IS graduates. Gender imbalance in the IS related program makes the situation worse as enrollment and retention of women in the IS major has been proportionately low compared to male. In recent years, majority of high school and college students have integrated social networking sites in their daily life and habitually use these sites. Providing female students access to role models via an online social network may enhance their motivation to continue as an IS major and pursue a career in IS field. For this study, the authors follow the action research process – exploration of information systems development. In particular, a Facebook application was developed to build the social network connecting role models and students. Using the application, a basic framework is tested based on the gender of participants. The results suggest that it is necessary to have adequate number of role models accessible to students as female role-models tend to select fewer students to develop relationships with a preference for female students. Female students likely prefer composite role models from a variety of sources. This pilot study yields valuable lessons to provide informal learning fostered by role modeling via online social networks. The Facebook application may be further expanded to enhance female students' interests in IS related careers.

Social Networks and Crime: Pitfalls and Promises for Advancing the Field

2019 ◽  
Vol 2 (1) ◽  
pp. 99-122 ◽  
Author(s):  
Katherine Faust ◽  
George E. Tita
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Potential Measurement ◽  
Fully Integrated ◽  
Social Network Data ◽  
The Past ◽  
Dynamic Social Network ◽  
Criminological Research ◽  
The Social ◽  
Criminological Theories

Over the past decade, a considerable literature has emerged within criminology stemming from the collection of social network data and the adoption of social network analysis by a cadre of scholars. We review recent contributions to four areas of crime research: co-offending networks, illicit networks, gang-rivalry networks, and neighborhoods and crime. Our review highlights potential pitfalls that one might encounter when using social networks in criminological research and points to fruitful directions for further research. In particular, we recommend paying special attention to the clear specifications of what ties in the network are assumed to be doing, potential measurement weaknesses that can arise when using police or investigative data to construct a network, and understanding dynamic social network processes related to criminological outcomes. We envision a bright future in which the social network perspective will be more fully integrated into criminological theories, analyses, and applications.

Evaluation of Social Network Sites

2013 ◽  
Vol 3 (4) ◽  
pp. 28-42
Author(s):  
Francisco J. Miranda ◽  
Antonio Chamorro ◽  
Sergio Rubio
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Delphi Study ◽  
Active Form ◽  
Three Dimensions ◽  
Assessment Index ◽  
General Terms ◽  
The Social ◽  
Important Challenge ◽  
Marketing Tool

Social networks are one of the more notable sociological phenomena of the last years. Moreover, its apparition and acceptance by majority of the citizens also suppose an important challenge for the firms. Social networks are a new and relevant channel of communication and interaction with their consumers. For this, firms have to create his own place in the social network and manage of active form the content that shares and the dialogue that is supported by their followers. In the first part of this paper we explain the creation of an index to evaluate the presence of the companies in the social network more used to international level, Facebook. The Facebook Assessment Index (FAI) is formed by several indicators grouped in three dimensions: popularity, interactivity and content. The weights for each category were obtained as recommended by a Delphi study conducted with 10 independent experts (community managers and internet marketing experts). In the second part, we applied this index to the 150 largest firms according to Fortune 2011 ranking. At present, only 44% of these firms tested had an international official Facebook page. The results showed that the larger firms are those that in general terms best manage their presence on Facebook, have the greatest number of followers and a higher degree of interactivity with them. However, the most interesting contribution of this work lies not in identifying firms that achieve higher scores on the FAI, but in comparing the pages with each other and making suggestions of ideas and practices that may improve a firm's Facebook presence as a marketing tool.

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.

How Social Networks Shape Social Comparison

2019 ◽  
pp. 443-461
Author(s):  
Jingwen Zhang ◽  
Damon Centola
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Comparison ◽  
Online Social Networks ◽  
Experimental Studies ◽  
Social Perceptions ◽  
Negative Consequences ◽  
Online Networks ◽  
Comparison Research ◽  
The Social

While social comparison research has focused on the processes and consequences of how the comparer gleans information from the comparison other (individual or group), recent research on social networks demonstrates how information and influence are distributed across persons in a network. This chapter reviews social influence processes in social networks. The authors first review recent research on social comparison and its negative consequences in online social networks. Then the authors delve into discussing the social network causes of biased social perceptions online and how this can be remedied by building more accurate perceptions through constructed online networks. Lastly, the authors discuss findings from recent experimental studies that illustrate how constructed online networks can harness social comparison to induce significant changes in health behavior.

Preventing Identity Disclosure in Social Networks Using Intersected Node

2016 ◽  
Vol 10 (3) ◽  
pp. 25-41 ◽  
Author(s):  
Amardeep Singh ◽  
Divya Bansal ◽  
Sanjeev Sofat
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Privacy And Security ◽  
Identity Disclosure ◽  
The Social ◽  
Confidential Data ◽  
Noise Nodes ◽  
Graphical Structure

Social networks like Facebook, Twitter, Pinterest etc. provide data of its users to the demanding organizations to better comprehend the quality of their potential clients. Publishing confidential data of social network users in its raw form raises several privacy and security concerns. Recently, some anonymization techniques have been developed to address these issues. In this paper, a technique to prevent identity disclosure through structure attacks has been proposed which not only prevents identity disclosure but also preserves utility of data published by online social networks. Algorithms have been developed by using noise nodes/edges with the consideration of introducing minimum change in the original graphical structure of social networks. The authors' work is unique in the sense that previous works are based on edge editing only but their proposed work protects against structure attacks using mutual nodes in the social network and the effectiveness of the proposed technique has been proved using APL (Average Path Length) and information loss as parameters.

scholarly journals MAPPING FEAR OF CRIME THROUGH SOCIAL NETWORK MODEL

2020 ◽  
Vol 3 (2) ◽  
pp. 135-150
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Model ◽  
Criminal Behavior ◽  
Fear Of Crime ◽  
Control Mechanism ◽  
Binary Logistic Regression ◽  
Three Dimensions ◽  
The Social ◽  
Private And Public

The present study analyzes fear of crime through social network model. The social network model is delimited to three dimensions i.e., private social network (PrSN), parochial social network (PaSN), and public social network (PbSN). The association and contribution of each of the dimension is estimated through binary logistic regression. Data for the study is collected from 298 out of 1186 employees and students of the Main Campus of Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa-Pakistan. Findings of the study show that the three dimensions are inversely related to the fear of crime. It means that improvement in private, parochial, and public social networks reduces fear of crime. Further, it is observed that private and public social networks are contributing more than parochial social network in reducing fear of crime in Pakhtun society of district Mardan. Thus, it is inferred that social networks through the development of a sense of empowerment among the members decrease fear of crime. Stronger social networks act as a social control mechanism and reduce the likelihood of the occurrence of deviant, and/or criminal behavior in a society

Survey of Emotion Influence in Image Social Networks

2017 ◽  
Vol 7 (8) ◽  
pp. 68
Author(s):  
Y. Helan Mettilda ◽  
R. Anbuselvi
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Basic Mechanism ◽  
Opinion Leaders ◽  
Interesting Problem ◽  
Structural Holes ◽  
Psychological Theories ◽  
The Social ◽  
The Status

Psychological theories propose that emotion represents the status of mind and natural responses of one’s cognitive system. Emotions are a difficult state of feeling that results in physical and psychological changes that power our actions. In this paper, we study an interesting problem of emotion infection in social networks.  In this paper, we study a different interesting problem of emotion influence in social networks. In particular, by employing an image social network as the basis of our study, we try to unveil how users’ emotional statuses influence each other and how users’ positions in the social network affect their influential strength on emotion in different papers.  We also find out several interesting phenomena. For example, the possibility that a user feels happy is about linear to the number of friends who are also happy; but taking a nearer look, the pleasure chance is super linear to the number of happy friends who act as opinion leaders in the network and sub linear in the number of happy friends who span structural holes. This offers a new chance to understand the basic mechanism of emotional contagion in online social networks.

Facebook as a Marketing Tool

2014 ◽  
Vol 6 (4) ◽  
pp. 14-28 ◽  
Author(s):  
Antonio Chamorro-Mera ◽  
F. Javier Miranda ◽  
Sergio Rubio
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Three Dimensions ◽  
Assessment Index ◽  
General Terms ◽  
The Social ◽  
Interesting Contribution ◽  
Important Challenge ◽  
Marketing Tool ◽  
High Degree

Social networks are one of the more notable sociological phenomena of the last years. Moreover, its apparition and acceptance by majority of the citizens also suppose an important challenge for the firms. Social networks are a new and relevant channel of communication and interaction with their consumers. For this, firms have to create their own place in the social network and actively manage the content that shares and the dialogue that is supported by their followers. In the first part of this paper, the authors explain the creation of an index to evaluate the presence of the companies in the social network more used to international level, Facebook. The Facebook Assessment Index (FAI) is formed by several indicators grouped in three dimensions: popularity, interactivity, and content. In the second part, the authors applied this index to the 150 largest firms according to Fortune 2011 ranking. At present, only 44% of these firms tested had an international official Facebook page. The results showed that the larger firms are those that in general terms best manage their presence on Facebook, have the greatest number of followers and a high degree of interactivity with them. However, the most interesting contribution of this work lies not in identifying firms that achieve higher scores on the FAI, but in comparing the pages with each other and making suggestions of ideas and practices that may improve a firm's Facebook presence as a marketing tool.

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