Social Network Framework Research Articles

A survey on Flickr multimedia research challenges

Multimedia content sharing within social networks has become one of the most interesting and trending research fields over the last few years. This undoubted emerge of related research works is rather twofold, namely it includes both the analysis and management techniques of the content itself, as well as new ways for its accompanied meaningful interpretation and exploitation. In this paper, we review the recent advances in the above fields in the humanistic framework of the popular Flickr social network. In addition, the major research challenges in the area are demonstrated and discussed, which include current state-of-the-art approaches with respect to interesting humanistic data collection and interpretation research fields, such as multimedia information retrieval, (semi-) automatic tag manipulation, travel applications, semantic knowledge extraction, human activity tracking, as well as related benchmarking efforts. At the end of this survey, we also discuss the main challenges and propose a number of future research directions for interested fellow researchers to continue investigation in the field.

Cloud Based Forensics Framework for Social Networks and A Case Study on Reasoning Links between Nodes

Recently, social networks have become one of the most popular tools for communication and information exchanges, and people are constructing social relationships and conducting social interactions over social networks. In this paper, we focus on digital forensics on social networks. Specifically, considering the emerging of cloud computing and big data tides, we propose a cloud based forensics framework for social networks, where social networking data is collected, stored, and analyzed through a multi-layered modularity framework using cloud computing techniques, including virtualization, distributed processing and storage, and collaboration. Besides, we also provide a case study on social link prediction, which is, reasoning links between nodes to infer possible relationships between criminals.

Support to women who denounce experiences of violence based on her social network.

Objective: to analyze the possibilities of help/support through the mapping and acknowledgement of the social network of women who denounce experiences of violence at a Police Precinct for Women. Method: qualitative study based on the theoretical-methodological framework of Lia Sanicola's Social Network, through interviews with 19 women. Results: the analysis of the network maps evidenced that the primary social network was more present than the secondary on and, despite consisting of significant relations, it demonstrates limitations. The women access the secondary network occasionally in the violence problem and/or its repercussions in their life and health. The discrete presence of the health network in the composition of the social network was revealed and, when mentioned, the relation between the health professional and the woman was characterized as fragile. Conclusion: the importance of the social network relates to the creation of spaces of help/support for the women beyond the moment of the aggression, which accompany them throughout their process of emancipation from an experience annulled by violence, considering that each woman acts and makes decisions in the relational context when she is ready for it.

Police intelligence: connecting-the-dots in a network society

Multi-jurisdictional information sharing is essential for the effective operation of police intelligence. In police intelligence, information can be shared formally via digital information networks or informally via personal social networks. Participant interviews were conducted with 30 intelligence officers in Ontario, Canada, to examine the distinction between, and reliance on, the use of formal information communication technologies (ICTs) versus personal networks to exchange intelligence information. This study found an overreliance on informal personal communication networks to facilitate multi-jurisdictional information sharing. Information shared informally between contacts was perceived to be more current, detailed, reliable and secure. Theoretically, this indicates that a social network framework may be more useful in understanding information flow to ‘connect-the-dots’ rather than the digital information network framework (e.g. fusion centre) traditionally applied. It is argued that future strategies for enhancing information sharing will require greater attention to the role informal social networks perform in facilitating the exchange of intelligence information.

Content distribution over content centric mobile social networks in 5G

Due to the rapid growth of network traffic and new demands from mobile users, the current mobile social networks face challenges in dealing with a huge amount of content requests, high operating costs, and mobility control. How to design mobile social networks efficiently for the upcoming 5G era has become an important issue. In this article we propose and outline a framework of content centric mobile social networks for 5G. First, we present a content centric based network architecture consisting of mobile users, communities, content centric nodes, small cells, and macro cells. Next, we discuss the detailed process to deliver mobile content based on the interests of content and mobile users. In addition, a novel caching scheme is presented to store replicas of mobile content, and the related experiment results are also given.

Counter Cultures, Group Dynamics and Religious Terrorism

Totalistic ideologies are breeding grounds for radicalization. Communities that adhere to such ideologies tend to rally when they feel threatened by powerful outsiders. Under such circumstances, community leaders become central. If they frame the situation as an existential threat to the community itself or to its most sacred values, they will accelerate the radicalization process and subsequently increase the prospects of violent actions by group members. The shift to violence takes place in the framework of close-knit social networks within the broader radicalized community. These networks consist of individuals who usually live in the same area and engage in continuous interaction among themselves. Such interactions bolster their communal commitment and develop a collective mindset that facilitates the slide of some of the individuals into violence. Those who eventually descend into terrorism usually exhibit strong identification with the community’s values and extreme alienation towards the outside world. They also enjoy high levels of biographical availability. These hypotheses are tested using the case study of Jewish terrorism in Israel between 1948 and 2006.

A partner-matching framework for social activity communities

A lot of daily activities require more than one person to participate and collaborate with each other; however, for many people, it is not easy to find good partners to engage in activities with one another. With the rapid growth of social network applications, more and more people get used to creating connections with people on the social network. Therefore, designing social network framework for partner-matching is significant in helping people to easily find good partners. In this paper, we proposed a framework which can match partners for an active community. In order to improve the matching performance, all users are divided into groups based on a specific classification tree that is built for a specific activity. The optimization goal of the partner-matching is to maintain as many stable partnerships as possible in the community. To achieve the goal, various factors are considered to design matching functions. The simulation results show that the proposed framework can help most people find stable partners quickly.

Friendly foes: Hybrid gangs or social networking

Hybrid gangs have been identified as having organizational processes that differ from traditional gangs. This study comparatively examines structural processes and characteristics of gangs in a chronic gang city, San Antonio, and an emerging gang city that would be more likely to have “hybrid” gangs, Orlando. A limited number of recent studies have indicated that some gangs may better fit into a social network framework, which calls into question presumptions about hybrid gangs. In this analysis, cooperation between gang members from rival gangs is examined through a social network lens, and findings indicate that such cooperation is a normalized process in the gang landscape.

Social Networks and Knowledge Transfer in Technological Park Companies in Brazil

This paper aims to propose a framework for a digital social network designed to support the knowledge transfer for innovation among companies located in a Technology Park of Florianopolis, in the Brazilian state of Santa Catarina. From a methodological point of view, the study is characterized by a qualitative approach and it was developed in three phases: (1) definition of the assumptions, requirements, functionalities and strategies for use of the social network; (2) development of the prototype for the social network and; (3) focus group sessions. The research data were analyzed using content analysis techniques. As for the results, this paper identifies four main pillars for the conception of digital social networks in the context of the technology park: types of knowledge; transmitters and receivers of knowledge, context for knowledge transfer and the nature of the knowledge transfer.

Big Data and Knowledge Generation in Tertiary Education in the Philippines

This exploratory study investigates the use of a computational knowledge engine (WolframAl-pha) and social networking sites (Gmail, Yahoo and Facebook) by 200 students at De La Salle-College of Saint Benilde, their “friends” and their “friends of friends” during the 2009 through 2013 school years, and how this appears to have added value in knowledge generation. The pri-mary aim is to identify what enhances productiveness in knowledge generation in Philippine Ter-tiary Education. The phenomenological approach is used, therefore there are no specific re-search questions or hypotheses proposed in this paper. Considering that knowledge generation is a complex phenomenon, a stochastic modelling approach is also used for the investigation that was developed specifically to study un-deterministic complex systems. A list of salient features for knowledge generation is presented as a result. In addition to these features, various problem types are identified from literature. These are then integrated to provide a proposed framework of inclusive (friendly) and innovative social networks, for knowledge generation in Philippine tertiary education. Such a framework is necessarily multidisciplinary and useful for problem-solving in a globalized and pluralist reality. The implementation of this framework is illustrated in the three parts of the study: Part 1: Online lessons, discussions, and examinations in General Psychology, Introduction to Sociology, and Life and Works of Jose Rizal, for the author’s stu-dents in De La Salle-College of Saint Benilde; Part 2: Facebook Report analytics of students and teachers, their friends and their friends of friends via WolframAlpha; and Part 3: Social Network Analysis of the people and groups influencing the courses’ scope-and-sequence in the new Gen-eral Education Curriculum for Tertiary Schools and Institutions in the Philippines.

SoN-KInG: a digital eco-system for innovation in professional and business domains

Purpose– An open question in the advanced economies, and in the current crisis even more, is to widely improve knowledge sharing as a driver of innovation and creativity processes. The need of addressing knowledge, creativity and innovation is co-generating new knowledge sharing tools, attempting to create new network linkages among professionals (such as engineers, researchers, professors, architects, creative designers, etc.), among financial/business companies and, between professionals and financial/business companies. The paper aims to discuss these issues.Design/methodology/approach– To achieve this goal, during the Knowledge Intelligence and Innovation for a sustainable Growth (KnowInG) project (2010-2013), the Social Network KnowInG (SoN-KInG) model and framework consisting in a digital eco-system were created. The benefits and the potentialities of the SoN-KInG as knowledge sharing tool both for professionals and businesses are discussed in the paper.Findings– SoN-KInG unifies the innovative aspects provided by three different social networks (Facebook, LinkedIn and Twitter) both, in professional and business domains, giving a holistic tool for knowledge sharing and knowledge management for online communities of interest.Originality/value– SoN-KInG provides an original model based on a holistic vision of social networking in the innovation and business domain and a framework, which consists in a web platform functioning as a hub of communities of interest where each member can converge creating new communities and also embedding communities where s/he is already involved in.

Alliance Network Position, Embeddedness and Effects on the Carbon Performance of Firms in Emerging Economies

This article explores the effect of network structure on the carbon performance of firms in emerging economies at an ego network level. Building on the theoretical framework of social networks, we posit that an ego firm’s network position, structural embeddedness, and structural constraint affect carbon performance. We examine the research hypotheses using a panel data set made up of 44 Indian firms that entered into alliances under the Clean Development Mechanism over the 2005-2009 period. Our main results show that the central position of the focal firm in the network and its degree of network embeddedness exert a positive effect on its carbon performance. This article contributes to the literature on climate strategy by exploring the influence of the structural characteristics of the firm’s ego network in the carbon market on its environmental performance.

A framework for online social networking features

Article history: Received December 2, 2013 Accepted 8 May 2014 Available online May 15 2014 Social networks form a basis for maintaining social contacts, finding users with common interests, creating local content and sharing information. Recently networks have created a fundamental framework for analyzing and modeling the complex systems. Users' behavior studies and evaluates the system performance and leads to better planning and implementation of advertising policies on the web sites. Therefore, this study offers a framework for online social networks' characteristics. In terms of objective, this survey is practical descriptive. Sampling has been done among 384 of graduate students who have good experiences of membership in online social network. Confirmatory factor analysis is used to evaluate the validity of variables in research model. Characteristics of online social networks are defined based on six components and framework's indexes are analyzed through factor analysis. The reliability is calculated separately for each dimension and since they are all above 0.7, the reliability of the study can be confirmed. According to our research results, in terms of size, the number of people who apply for membership in various online social networking is an important index. In terms of individual preference to connect with, people who are relative play essential role in social network development. In terms of homogeneity variable, the number of people who visit their friends’ pages is important for measuring frequency variable. In terms of frequency, the use of entertainment and recreation services is more important index. In terms of proximity, being in the same city is a more important index and index of creating a sense of belonging and confidence is more important for measuring reciprocity variable. © 2014 Growing Science Ltd. All rights reserved.

The diagnostic field's players and interactions: from the inside out.

For diagnoses that require inputs from multiple players - patients, informal caregivers, health care professionals - a team approach to coordinating diagnostic care has the potential to improve outcomes. Taking a patient-system perspective helps elucidate important factors relevant to team-based diagnostic performance. These factors are conceptualized as a metaphoric playing field that has goals, players interacting, unavoidable uncertainties and influential social conditions specifically tied to the diagnosis phase of care. In terms of rules of the game, the patient-system interaction might be guided by application of Gittell and colleague's relational coordination concepts, and understood within a broader social network framework of diagnosis, adapted from work by Berkman and colleagues. Patient-centered metrics are also needed to monitor the success of diagnosis.

C3PO: A Spontaneous and Ephemeral Social Networking Framework for a Collaborative Creation and Publishing of Multimedia Contents

Online social networks have been adopted by a large part of the population, and have become in few years essential communication means and a source of information for journalists. Nevertheless, these networks have some drawbacks that make people reluctant to use them, such as the impossibility to claim for ownership of data and to avoid commercial analysis of them, or the absence of collaborative tools to produce multimedia contents with a real editorial value.In this paper, we present a new kind of social networks, namely spontaneous and ephemeral social networks (SESNs). SESNs allow people to collaborate spontaneously in the production of multimedia documents so as to cover cultural and sport events.

Secure Encounter-Based Mobile Social Networks: Requirements, Designs, and Tradeoffs

Encounter-based social networks and encounter-based systems link users who share a location at the same time, as opposed to the traditional social network paradigm of linking users who have an offline friendship. This new approach presents challenges that are fundamentally different from those tackled by previous social network designs. In this paper, we explore the functional and security requirements for these new systems, such as availability, security, and privacy, and present several design options for building secure encounter-based social networks. To highlight these challenges, we examine one recently proposed encounter-based social network design and compare it to a set of idealized security and functionality requirements. We show that it is vulnerable to several attacks, including impersonation, collusion, and privacy breaching, even though it was designed specifically for security. Mindful of the possible pitfalls, we construct a flexible framework for secure encounter-based social networks, which can be used to construct networks that offer different security, privacy, and availability guarantees. We describe two example constructions derived from this framework, and consider each in terms of the ideal requirements. Some of our new designs fulfill more requirements in terms of system security, reliability, and privacy than previous work. We also evaluate real-world performance of one of our designs by implementing a proof-of-concept iPhone application called MeetUp. Experiments highlight the potential of our system and hint at the deployability of our designs on a large scale.

Analysis of e-mail Communication Using a Social Network Framework for Crisis Detection in an Organization

The e-mails exchanged, as an indicator of information exchange in an organization, is used to facilitate the emergence of structure within the organization. In this paper, we infer the formal hierarchy and also detect the informal networks in the context of organizational e-mail archives from a social network perspective. We explore the performance of the social network based classifier and the evolutions of informal networks over time to better understand the interplay between communication patterns and major events within an organization like Enron. Prediction accuracy of the social network classifier delineates the normal and crisis periods in an organization. We found that the study of informal networks along with the structural hierarchy can provide a clue to the health of the corporate.

A Context-Aware Member Clustering Algorithm Based on Ant Colony and Genetic Optimization for P2P Mobile Social Network

t is one of important topics in social network research how to form member clustering according to potential social relations by automatic context-aware the user's behavior feature. This paper presents a context-aware mobile P2P social network framework, member clustering model and algorithm. The user's location information, environmental characteristics etc. are introduced to the clustering algorithm, which intelligently cluster to potential P2P social network. The experimental results show that the proposed approach and the algorithm have a higher response speed, load balance and adaptive ability.

TheCN.com: An Academic-cum-Social Networking Online Platform

This article is a review of theCN, an online virtual learning environment. CN is more than a learning management system, as it not only focuses on course content delivery and management, but takes it a step further by introducing the networking of courses and their content. I n comparison with existing LMS’s, which are housed in closed walls with limited access to learners and instructors within institutions, used to merely manage courses online, CN is an open, free, academic and social networking framework scalable to massive numbers of learners from any place in the world within a single environment. CN is free for all to use across the globe. With some minor improvements, CN, as an LMS is surely one of very useful and helpful virtual learning technology tool available to distance learners and institutions to make learning entertaining and fruitful in achieving its learning objectives.

Social Network as a Knowledge Service Provider

One of the most important challenges facing humanity today is the design and development of more sustainable processes those that balance the needs of the present generation without compromising the ability of future generations to meet their own needs. The Sustainability as Service Science model (S^3) presents a novel perspective of the relationship between sustainability and services in the framework of service science by defining both sustainable services and sustainability as service and by describing the mutual relationship between sustainability and service. Information-rich, the field of sustainability in many ways suffers from information overload, which can foster uncertainty and confusion during any decision-making process. In this study we present a new social network framework, in which the social network is an 'information to knowledge' service that shares knowledge, in the process evaluating its correspondence to and trustworthiness within the field of sustainability. Guided by the three basic principles of awareness, responsibility, and commitment, the new information to knowledge framework is conceptualized as a platform from which to transform the plethora of information available in the field of sustainability into practical and trusted knowledge.