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2021 - ArXiv
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions

The growing use of social media has led to the development of several Machine Learning (ML) and Natural Language Processing (NLP) tools to process the unprecedented amount of social media content to make actionable decisions. However, these ML and NLP algorithms have been widely shown to be vulnerable to adversarial attacks. These vulnerabilities allow adversaries to launch a diversified set of adversarial attacks on these algorithms in di ff erent applications of social media text processing. In this paper, we provide a comprehensive review of the main approaches for adversarial attacks and defenses in the context of social media applications with a particular focus on key challenges and future research directions. In detail, we cover literature on six key applications, namely (i) rumors detection, (ii) satires detection, (iii) clickbaits & spams identification, (iv) hate speech detection, (v) misinformation detection, and (vi) sentiment analysis. We then highlight the concurrent and anticipated future research questions and provide recommendations and directions for future work.

2015 - WASA
A Trust Evolution Mechanism for Mobile Social Networks Based on Wright-Fisher

With the development of mobile social networks, the trust problem of networks attracts more and more attentions. According to the existing problems of evolution model, this paper proposes a trust evolution mechanism for mobile social networks based on Wright-Fisher. Combining the evolutionary game theory and Wright-Fisher model, we establish the trust evolution model under white noise environment to analyze and predict the evolution trend of mobile social networks. In addition, in order to solve the free-riding problem in mobile social networks, this paper proposes an incentive strategy based on evolution theory. Through the experiments, we verify the effectiveness and adaptability of the proposed trust evolution mechanism. The proposed incentive strategy can inspire users to select trustful strategy, and improve the trust degree of the whole mobile social networks.

2013 - Computer Science
Discovering Critical Nodes in Social Networks Based on Cooperative Games

Discovering critical nodes in social networks has many important applications and more and more institutions and scholars have been attended.For finding out the top K critical nodes in social networks,this paper presented a method based on cooperative games to obtain each node's marginal contribution by using Owen value and considering the widespread community structure in social networks.And then we can get the solution of the critical nodes problem.The feasibility and effectiveness of our method were verified on two synthetic datasets and four real datasets.

2008 - WSKS
Eye Knowledge Network: A Social Network for the Eye Care Community

Eye Knowledge Network (EKN) aims at creating a complete framework for collaboration and interaction between eye care professionals. EKN exploits resources and concepts of Web 2.0 to set up a continuously growing "virtual library" of multimedia data (images, videos, animations) and an interacting set of tools for supporting the discussion. Being the clinical case media the pinning point for the medical research and application, the social network is oriented to the creation of specific discussion threads and to develop connections based on similarity and analogies. All the media and the discussions are tagged by the system which incorporates an ontology specialized in medical and eye care field and that provides smart search and a recommendation system. An hybrid recommendation approach, both content-based and collaborative, builds a multicriteria ranking system of objects and users. The media upload to the library allows the flexibility to dynamically interact with the data representations pointing out regions and highlighting areas of interest.

2015 - 2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)
Twitter as a transport layer platform

Internet messengers and social networks have become an integral part of modern digital life. We have in mind not only the interaction between individual users but also a variety of applications that exist in these applications. Typically, applications for social networks use the universal login system and rely on data from social networks. Also, such applications are likely to get more traction when they are inside of the big social network like Facebook. At the same time, less attention is paid to communication capabilities of social networks. In this paper, we target Twitter as a messaging system at the first hand. We describe the way information systems can use Twitter as a transport layer for own services. Our work introduces a programmable service called 411 for Twitter, which supports user-defined and application-specific commands through tweets.

2014 - Universal Access in the Information Society
Addressing universal access in social networks: an inclusive search mechanism

Social network services (SNSs) have brought new possibilities and challenges to the design of software environments that respect people’s cultural differences. These systems may represent an opportunity for social and digital inclusion. However, search mechanisms in these systems impose serious barriers for people in the process of acquiring digital literacy. One of the barriers is the difficulty of using the adequate terms/keywords to perform content searches. This paper presents an approach to allow ordinary, non-technology proficient people to access the content of a network through the use of search parameters that make sense to them. The proposal is grounded on Semantic Web technologies (Web ontology) combined with Organizational Semiotics concepts and methods to identify the users’ profile and language. A case study was conducted with the search mechanism integrated into a SNS, and a preliminary evaluation reveals the advantages and drawbacks of the approach.

2014 - International Journal of Production Research
Using social network analysis to combat counterfeiting

Counterfeiting undoubtedly produces great harm to companies and the society. This article presents a study on the application of social network analysis (SNA) to combating this problem. The supply chain can be viewed as a network of parties involved in delivering value to consumers. Normally, SNA is used to analyse relationships between people. In this study, it is utilised to analyse supply chains for the identification of parties that are likely to be involved in counterfeiting activities. After identifying the suspects in a supply chain, the company can deter and detect counterfeiting by tightening surveillance on these parties. The feasibility of using SNA as an anti-counterfeiting tool is investigated in a case study, the findings of which indicate that SNA can effectively help companies to prevent sources of counterfeit products from infiltrating into the supply chain. Problematic parties can be identified by characterising the following features: high degree of centrality, high closeness of centrality and high betweenness of centrality.

2013
Enhancement of Social Network Security by Third Party Application

Social networking sites such as Facebook ,Google,twitter provide third party applications such as games and productivity applications by providing a social application platform. These interfaces enable popular site enhancements but poses privacy risks by exposing user data to third party developers. The current security mechanisms, such as privacy policies and access control mechanisms fall short on protecting the privacy of the users. In this paper, we are representing a framework for a privacy enhanced social network security application that technically enforces the protection of the personal data of a user, when interacting with social applications.Let us propose a multicriteria recommendation model that uses application based, category based, user based, and collaborative filtering mechanisms which are based on previous user decisions, and application requests to increase the privacy of the overall site's user population. Our project on the collected information indicate that the proposed framework enhanced the user security and privacy related to third-party application authorizations.

2010 - Hispania
Theoretical Linguistics Meets Pedagogical Practice: Pronominal Subject Use in Spanish as a Second Language

This article attempts to highlight the importance of theoretical linguistics and empirical cognitive linguistics studies for the practical teaching of Spanish as a second language. Looking at the domain of subject pronominal use as an example, I endeavor to show how formal linguistics can be useful to language instructors. This is a significant enterprise since language instructors could benefit from both a better understanding of the linguistic properties of the languages they teach and what psycholinguistic studies have revealed about the nature of adult language learning in general.

2006
Social networks and cultural transmission

Language is a complex dynamical system that is shaped not just through biological evolution but by the way it is used in a social context. Sociolinguists have long understood that the structure of a society strongly affects the nature of the languages that emerge. Computational models of language evolution, however, generally neglect the effect of social structure by modelling extremely simple population dynamics. This study explores the coevolution of language and social structure using a simple, abstract model of language learning and a plausible mechanism for network growth, namely homophily. Evolved networks are found to possess the characteristic measures of social networks: assortative mixing, transitivity and prominent community structure. The effect of embeddding language-learners in the network is found to be significant. This model may also provide a platform on which existing theories and computational models of language evolution can be evaluated.

1998 - Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207)
Multilevel linguistic equation controller applied to a 1 MW/sub t/ solar power plant

This paper presents new results of a multilevel linguistic equation controller to maintain the outlet oil temperature in a 1 MW/sub t/ solar power plant. The multilevel linguistic equation controller combines smoothly with various control strategies into a compact single controller which can be tuned in a modular way. The operation is very robust under difficult conditions: startup and set-point tracking are fast and accurate in variable radiation conditions; and the controller can handle efficiently even under multiple disturbances.

2007 - Int. J. Bifurc. Chaos
The Social Network of Contemporary Popular Musicians

In this paper, we analyze two social network datasets of contemporary musicians constructed from allmusic.com (AMG), a music and artists' information database: one is the collaboration network in which two musicians are connected if they have performed or produced an album together, and the other is the similarity network in which they are connected if they were musically similar according to the music experts. We find that, while both networks exhibit typical features of social networks such as high transitivity (clustering), we find that they differ significantly in some key network features such as the degree and the betweenness distributions. We believe that this highlights the fundamental differences in the construction mechanism (self-organized collaboration and human-perceived similarity) of the new networks.

1972 - Medical Care
Professional Dominance: The Social Structure of Medical Care

professional dominance the social structure of medical care What to say and what to do when mostly your friends love reading? Are you the one that don't have such hobby? So, it's important for you to start having that hobby. You know, reading is not the force. We're sure that reading will lead you to join in better concept of life. Reading will be a positive activity to do every time. And do you know our friends become fans of professional dominance the social structure of medical care as the best book to read? Yeah, it's neither an obligation nor order. It is the referred book that will not make you feel disappointed.

1997
OVERACHIEVEMENT IN THE UNDERGROUND ECONOMY: THE LIFE STORY OF A PUERTO RICAN STICK-UP ARTIST IN EAST HARLEM

The life story of an employment counselor in East Harlem debunks the immigrant American dream of upward mobility, individual achievement and material opportunity. Based on several years of participant- observation conversations, this article traces in street language the life style of a charismatic workaholic individual through graffiti writing, gang banging, school (non) attendance, adolescent violence. Parental discipline, substance abuse, armed robbery, gratuitous murder, drug dealing incarceration, and legal employment. It reveals the contradictions of individual agency and achievement in the context of structural marginalization underground economy and street culture. The opportunity structure available to second generation inner-city youth in the United States often channels overachievers into destructive behavior.

2010
A Framework for Analyzing Dynamic Social Networks

Social network analysis has emerged as a set of methods for the analysis of social structures and uncovering the patterning of interactions among the entities. In the past, social network analysis was mainly a static investigation by considering independent graphs at different snapshots or one aggregated graph over the time period. However, for the dynamic social networks that change over time, the static analysis misses the opportunity to capture evolutionary patterns. A community is one of these patterns, and it is affected by changes in the underlying population in the dynamic social networks. In the literature there has been a considerable amount of work done to detect communities in social networks. However, the communities are independently detected at each snapshot regardless of the structural relationship between consecutive snapshots. In this paper we present a framework for modeling and detecting community evolution in social networks. This framework allows tracking of events related to communities as well as events related to individual nodes. These events can be considered as building blocks for pattern detection in networks with evolving communities. We illustrate the capabilities and potential of our framework by applying it to a real dataset consisting of emails from the Enron Corporation. The evolution of the Enron communities is detected with the events defined in our framework.

2011 - Social Network Data Analytics
Node Classification in Social Networks

When dealing with large graphs, such as those that arise in the context of online social networks, a subset of nodes may be labeled. These labels can indicate demographic values, interest, beliefs or other characteristics of the nodes (users). A core problem is to use this information to extend the labeling so that all nodes are assigned a label (or labels).

2018 - 1807.08412
A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing (Online report)

Mobile crowdsensing has shown a great potential to address large-scale data sensing problems by allocating sensing tasks to pervasive mobile users. The mobile users will participate in a crowdsensing platform if they can receive satisfactory reward. In this paper, to effectively and efficiently recruit sufficient number of mobile users, i.e., participants, we investigate an optimal incentive mechanism of a crowdsensing service provider. We apply a two-stage Stackelberg game to analyze the participation level of the mobile users and the optimal incentive mechanism of the crowdsensing service provider using backward induction. In order to motivate the participants, the incentive is designed by taking into account the social network effects from the underlying mobile social domain. For example, in a crowdsensing-based road traffic information sharing application, a user can get a better and accurate traffic report if more users join and share their road information. We derive the analytical expressions for the discriminatory incentive as well as the uniform incentive mechanisms. To fit into practical scenarios, we further formulate a Bayesian Stackelberg game with incomplete information to analyze the interaction between the crowdsensing service provider and mobile users, where the social structure information (the social network effects) is uncertain. The existence and uniqueness of the Bayesian Stackelberg equilibrium are validated by identifying the best response strategies of the mobile users. Numerical results corroborate the fact that the network effects tremendously stimulate higher mobile participation level and greater revenue of the crowdsensing service provider. In addition, the social structure information helps the crowdsensing service provider to achieve greater revenue gain.

2007
Building bridges: the social structure of interdependent innovation

Multidivisional firms often fail to take advantage of innovations that involve combining resources from distinct divisions. This failure of cross-line-of-business innovation is a consequence of design choices employed to execute the firm's strategy: in organizing around its core businesses, the firm renders interdependence between divisions residual to the formal structure. As a result, those innovations which involve cross-line-of-business interdependence are trumped by the firm's articulated strategy and structure. Social structures could, potentially, fill this coordination gap. But social structures associated with the initiation of interdependent innovation are inversely associated with their execution. We build a dynamic, corporate-level, evolutionary model in which individuals autonomously initiate cross-line-of-business projects not through the formal structure of the firm, but using contacts from their own social networks. Some of these projects are selected and actively supported by senior executives; this support sends clear signals about what collaboration is valued by the firm, which gives other actors powerful, albeit informal, incentives to connect with others across the interunit boundary. As a result, the sparse interunit social structure that was conducive to initiation changes, becoming much more cohesive (at least locally) and is able to support execution and retain these interdependent innovations. Thus, where intra-divisional innovations are primarily driven by organizational structure, we suggest that interdivisional innovations are driven primarily by social networks. Copyright © 2007 Strategic Management Society.

2005 - Journal of International Economics
The trade-creating effects of business and social networks: evidence from France

Using theory-grounded estimations of trade flow equations, this paper investigates the role that business and social networks play in shaping trade between French regions. The bilateral intensity of networks is quantified using the financial structure and location of French firms and bilateral stocks of migrants. Compared to a situation without networks, migrants are shown to double bilateral trade flows, while networks of firms multiply trade flows by as much as four in some specifications. Finally, taking network effects into account divides the estimation of the impact of transport costs and of the effect of administrative borders by around three.

2001 - American Sociological Review
Getting Deals Done: The Use of Social Networks in Bank Decision-Making

Economic actors confront various forms of uncertainty making decisions, and how they deal with these obstacles may affect their success in accomplishing their goals. This study examines the means by which relationship managers in a major commercial bank attempt to close transactions with their corporate customers. It is hypothesized that under conditions of high uncertainty, bankers will rely on colleagues with whom they are strongly tied for advice on and support of their deals. Drawing on recent network theory, it is also hypothesized that transactions in which bankers use relatively sparse approval networks are more likely to successfully close than are transactions involving dense approval networks. Both hypotheses are supported. Bankers are faced with a strategic paradox: Their tendency to rely on those they trust in dealing with uncertainty creates conditions that render deals less likely to be closed successfully. This paradox represents an example of unanticipated consequences of purposive social action.

Business and Social Networks in International Trade

James E. Rauch

Abstract:The first two main sections survey the roles of transnational networks in alleviating problems of contract enforcement and providing information about trading opportunities, respectively. The next section covers how domestic networks influence international trade through their impact on domestic market structure. Two overarching questions unify these sections: how do networks affect efficiency, and will networks grow or shrink in importance for international trade over time. The last main sections develop research agendas for two less studied areas: the role of intermediaries who can connect foreign agents to domestic networks and the ability of transnational production networks to facilitate technology transfer.

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引用
Regional Trade Agreements and the Pattern of Trade: A Networks Approach
2009
Migrant Networks and Foreign Direct Investment
2006
Was Germany Ever United? Evidence from Intra- and International Trade, 1885–1933
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2008
Trust-Based Trade
2007
International Trade and Social Connectedness
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Air accessibility and the export of Italian manufacture in Europe: Evidence at regional level
2013
Production, trade, prices, exchange rates and equilibration in large experimental economies
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Housing Market Expectations
Social Science Research Network
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International Trade: a Reinforced Urn Network Model
1601.03067
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Agglomerative Forces and Cluster Shapes
Review of Economics and Statistics
2010
Network communities within and across borders
Scientific Reports
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Supplier Capacity and Intermediary Profits: Can Less Be More?
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Industrial Groupings and Foreign Direct Investment
World Scientific Studies in International Economics
2019
A Cross Country View On South-North Migration And Trade: Dissecting the Channels.
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Social networks and their impact on the earnings of Mexican Migrants
Demography
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Formation of Buyer-Seller Trade Networks in a Quality-Differentiated Product Market
2006
How do spatial and social proximity influence knowledge flows? Evidence from patent data
2008
Cooperation and Collective Enforcement in Networked Societies
2008
Spatial and Social Frictions in the City: Evidence from Yelp
2015
Gravity, trade integration, and heterogeneity across industries
2011