The Experts below are selected from a list of 3390 Experts worldwide ranked by ideXlab platform
Domenico Ursino - One of the best experts on this subject based on the ideXlab platform.
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The MIoT paradigm: Main features and an “ad-hoc” crawler
Future Generation Computer Systems, 2019Co-Authors: Giorgio Baldassarre, Paolo Lo Giudice, Lorenzo Musarella, Domenico UrsinoAbstract:Abstract The Internet of Things (IoT) is currently considered the new frontier of the Internet, and a lot of research results about this topic can be found in the literature. One of the most effective ways to investigate and implement IoT is based on the use of the social network paradigm: Social Internet of Things (SIoT) is an excellent attempt in this direction. In the last years, social network researchers have introduced new paradigms capable of capturing the growing complexity of this scenario. One of the most known of them is Social Internetworking System, which models a scenario comprising several related social networks. In this paper, we investigate the possibility of applying the ideas underlying Social Internetworking System to IoT, and we propose a new paradigm, called MIoT (Multiple Internets of Things), capable of modeling and handling the increasing complexity of this last context. Furthermore, in order to facilitate knowledge extraction and exploitation in presence of a huge number of things, we also propose a crawler specifically designed for an MIoT. Finally, through an experimental campaign, we show that classical crawlers are not adequate for MIoTs, whereas our own is well suited and outperforms all of them in this context.
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a conceptual framework for community detection characterisation and membership in a social Internetworking scenario
International Journal of Data Mining Modelling and Management, 2014Co-Authors: Pasquale De Meo, Antonino Nocera, Giovanni Quattrone, Domenico UrsinoAbstract:Social Internetworking systems are becoming a challenging new reality; they group together multiple, and possibly heterogenous, social networks. The typical problems of social network research become much more complex in a social Internetworking context. In this paper, we propose a conceptual framework, and an underlying model, to handle some of these problems, namely community detection, characterisation and membership in a social Internetworking scenario. In order to face them, we must preliminarily investigate a further problem, i.e., user similarity detection.
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moving from social networks to social Internetworking scenarios the crawling perspective
Information Sciences, 2014Co-Authors: Francesco Buccafurri, Antonino Nocera, Gianluca Lax, Domenico UrsinoAbstract:In new generation social networks, we expect that the paradigm of Social Internetworking Systems (SISs) will become progressively more important. Indeed, the possibility of interconnecting users and resources of different social networks enables a lot of strategic applications whose main strength is the integration of different communities that nevertheless preserves their diversity and autonomy. In this new scenario, the role of Social Network Analysis is crucial in studying the evolution of structures, individuals, interactions, and so on, and in extracting powerful knowledge from them. But the preliminary step to do is designing a good way to crawl the underlying graph. Although this aspect has been deeply investigated in the field of social networks, it is an open issue when moving towards SISs. Indeed, we cannot expect that a crawling strategy, specifically designed for social networks, is still valid in a Social Internetworking Scenario, due to its specific topological features. In this paper, we confirm the above claim, giving a strong motivation for our second contribution, which is the definition of a new crawling strategy. This strategy, specifically conceived for SISs, is shown to fully overcome the drawbacks of the state-of-the-art crawling strategies.
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bridge analysis in a social Internetworking scenario
Information Sciences, 2013Co-Authors: Francesco Buccafurri, Antonino Nocera, Gianluca Lax, Vincenzo Daniele Foti, Domenico UrsinoAbstract:The rapid development of the number and the size of Online Social Networks (OSNs) makes the analysis of Social Internetworking Scenarios (SISs) extremely challenging. In a SIS, a user can join multiple OSNs and two users can interact with each other even though they joined different OSNs and did not know each other. While OSNs have been extensively studied in the last years, the most peculiar aspects of Social Internetworking Scenarios have not been yet investigated, especially from the Social Network Analysis perspective. Our paper tries to give a first important contribution in this field by deeply studying the core elements of a SIS, i.e., bridges. Bridges are those users who joined more OSNs and allow users of different OSNs to cooperate. We investigate the main features of this category of users by means of a Social Network Analysis campaign. In particular, we define several specific crawling strategies and extract several samples from a SIS by applying each of them. The experimental results define a clear ''identikit'' of bridges allowing us to state a number of non-trivial conclusions about their role in a SIS.
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crawling social Internetworking systems
Advances in Social Networks Analysis and Mining, 2012Co-Authors: Francesco Buccafurri, Antonino Nocera, Gianluca Lax, Domenico UrsinoAbstract:In new generation social networks, we expect that the paradigm of Social Internetworking Systems (SISs, for short) will be more and more important. In this new scenario, the role of Social Network Analysis is of course still crucial but the preliminary step to do is designing a good way to crawl the underlying graph. While this aspect has been deeply investigated in the field of social networks, it is an open issue when moving towards SISs. Indeed, we cannot expect that a crawling strategy which is good for social networks, is still valid in a Social Internetworking Scenario, due to its specific topological features. In this paper, we first confirm the above claim and, then, define a new crawling strategy specifically conceived for SISs. Finally, we show that it fully overcomes the drawbacks of the state-of-the-art crawling strategies.
Antonino Nocera - One of the best experts on this subject based on the ideXlab platform.
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a conceptual framework for community detection characterisation and membership in a social Internetworking scenario
International Journal of Data Mining Modelling and Management, 2014Co-Authors: Pasquale De Meo, Antonino Nocera, Giovanni Quattrone, Domenico UrsinoAbstract:Social Internetworking systems are becoming a challenging new reality; they group together multiple, and possibly heterogenous, social networks. The typical problems of social network research become much more complex in a social Internetworking context. In this paper, we propose a conceptual framework, and an underlying model, to handle some of these problems, namely community detection, characterisation and membership in a social Internetworking scenario. In order to face them, we must preliminarily investigate a further problem, i.e., user similarity detection.
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moving from social networks to social Internetworking scenarios the crawling perspective
Information Sciences, 2014Co-Authors: Francesco Buccafurri, Antonino Nocera, Gianluca Lax, Domenico UrsinoAbstract:In new generation social networks, we expect that the paradigm of Social Internetworking Systems (SISs) will become progressively more important. Indeed, the possibility of interconnecting users and resources of different social networks enables a lot of strategic applications whose main strength is the integration of different communities that nevertheless preserves their diversity and autonomy. In this new scenario, the role of Social Network Analysis is crucial in studying the evolution of structures, individuals, interactions, and so on, and in extracting powerful knowledge from them. But the preliminary step to do is designing a good way to crawl the underlying graph. Although this aspect has been deeply investigated in the field of social networks, it is an open issue when moving towards SISs. Indeed, we cannot expect that a crawling strategy, specifically designed for social networks, is still valid in a Social Internetworking Scenario, due to its specific topological features. In this paper, we confirm the above claim, giving a strong motivation for our second contribution, which is the definition of a new crawling strategy. This strategy, specifically conceived for SISs, is shown to fully overcome the drawbacks of the state-of-the-art crawling strategies.
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bridge analysis in a social Internetworking scenario
Information Sciences, 2013Co-Authors: Francesco Buccafurri, Antonino Nocera, Gianluca Lax, Vincenzo Daniele Foti, Domenico UrsinoAbstract:The rapid development of the number and the size of Online Social Networks (OSNs) makes the analysis of Social Internetworking Scenarios (SISs) extremely challenging. In a SIS, a user can join multiple OSNs and two users can interact with each other even though they joined different OSNs and did not know each other. While OSNs have been extensively studied in the last years, the most peculiar aspects of Social Internetworking Scenarios have not been yet investigated, especially from the Social Network Analysis perspective. Our paper tries to give a first important contribution in this field by deeply studying the core elements of a SIS, i.e., bridges. Bridges are those users who joined more OSNs and allow users of different OSNs to cooperate. We investigate the main features of this category of users by means of a Social Network Analysis campaign. In particular, we define several specific crawling strategies and extract several samples from a SIS by applying each of them. The experimental results define a clear ''identikit'' of bridges allowing us to state a number of non-trivial conclusions about their role in a SIS.
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crawling social Internetworking systems
Advances in Social Networks Analysis and Mining, 2012Co-Authors: Francesco Buccafurri, Antonino Nocera, Gianluca Lax, Domenico UrsinoAbstract:In new generation social networks, we expect that the paradigm of Social Internetworking Systems (SISs, for short) will be more and more important. In this new scenario, the role of Social Network Analysis is of course still crucial but the preliminary step to do is designing a good way to crawl the underlying graph. While this aspect has been deeply investigated in the field of social networks, it is an open issue when moving towards SISs. Indeed, we cannot expect that a crawling strategy which is good for social networks, is still valid in a Social Internetworking Scenario, due to its specific topological features. In this paper, we first confirm the above claim and, then, define a new crawling strategy specifically conceived for SISs. Finally, we show that it fully overcomes the drawbacks of the state-of-the-art crawling strategies.
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recommendation of similar users resources and social networks in a social Internetworking scenario
Information Sciences, 2011Co-Authors: Pasquale De Meo, Antonino Nocera, Giorgio Terracina, Domenico UrsinoAbstract:In this paper we propose an approach to recommend to a user similar users, resources and social networks in a Social Internetworking Scenario. Our approach presents some interesting novelties with respect to the existing ones. First of all, it operates on a Social Internetworking context and not on a single social network. Moreover, it considers not only explicit relationships among users but also the implicit ones, connecting users on the basis of shared interests and behavior; the latter is derived from the analysis of user actions in the considered Social Internetworking Scenario. In addition, it considers the presence of possible semantic anomalies involving the description of available users, resources and social networks. Finally, it takes into account not only the local information regarding involved users, resources and social networks but also the global one, i.e., the information spread all over the considered Social Internetworking Scenario.
Francesco Buccafurri - One of the best experts on this subject based on the ideXlab platform.
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moving from social networks to social Internetworking scenarios the crawling perspective
Information Sciences, 2014Co-Authors: Francesco Buccafurri, Antonino Nocera, Gianluca Lax, Domenico UrsinoAbstract:In new generation social networks, we expect that the paradigm of Social Internetworking Systems (SISs) will become progressively more important. Indeed, the possibility of interconnecting users and resources of different social networks enables a lot of strategic applications whose main strength is the integration of different communities that nevertheless preserves their diversity and autonomy. In this new scenario, the role of Social Network Analysis is crucial in studying the evolution of structures, individuals, interactions, and so on, and in extracting powerful knowledge from them. But the preliminary step to do is designing a good way to crawl the underlying graph. Although this aspect has been deeply investigated in the field of social networks, it is an open issue when moving towards SISs. Indeed, we cannot expect that a crawling strategy, specifically designed for social networks, is still valid in a Social Internetworking Scenario, due to its specific topological features. In this paper, we confirm the above claim, giving a strong motivation for our second contribution, which is the definition of a new crawling strategy. This strategy, specifically conceived for SISs, is shown to fully overcome the drawbacks of the state-of-the-art crawling strategies.
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bridge analysis in a social Internetworking scenario
Information Sciences, 2013Co-Authors: Francesco Buccafurri, Antonino Nocera, Gianluca Lax, Vincenzo Daniele Foti, Domenico UrsinoAbstract:The rapid development of the number and the size of Online Social Networks (OSNs) makes the analysis of Social Internetworking Scenarios (SISs) extremely challenging. In a SIS, a user can join multiple OSNs and two users can interact with each other even though they joined different OSNs and did not know each other. While OSNs have been extensively studied in the last years, the most peculiar aspects of Social Internetworking Scenarios have not been yet investigated, especially from the Social Network Analysis perspective. Our paper tries to give a first important contribution in this field by deeply studying the core elements of a SIS, i.e., bridges. Bridges are those users who joined more OSNs and allow users of different OSNs to cooperate. We investigate the main features of this category of users by means of a Social Network Analysis campaign. In particular, we define several specific crawling strategies and extract several samples from a SIS by applying each of them. The experimental results define a clear ''identikit'' of bridges allowing us to state a number of non-trivial conclusions about their role in a SIS.
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crawling social Internetworking systems
Advances in Social Networks Analysis and Mining, 2012Co-Authors: Francesco Buccafurri, Antonino Nocera, Gianluca Lax, Domenico UrsinoAbstract:In new generation social networks, we expect that the paradigm of Social Internetworking Systems (SISs, for short) will be more and more important. In this new scenario, the role of Social Network Analysis is of course still crucial but the preliminary step to do is designing a good way to crawl the underlying graph. While this aspect has been deeply investigated in the field of social networks, it is an open issue when moving towards SISs. Indeed, we cannot expect that a crawling strategy which is good for social networks, is still valid in a Social Internetworking Scenario, due to its specific topological features. In this paper, we first confirm the above claim and, then, define a new crawling strategy specifically conceived for SISs. Finally, we show that it fully overcomes the drawbacks of the state-of-the-art crawling strategies.
Gianluca Lax - One of the best experts on this subject based on the ideXlab platform.
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moving from social networks to social Internetworking scenarios the crawling perspective
Information Sciences, 2014Co-Authors: Francesco Buccafurri, Antonino Nocera, Gianluca Lax, Domenico UrsinoAbstract:In new generation social networks, we expect that the paradigm of Social Internetworking Systems (SISs) will become progressively more important. Indeed, the possibility of interconnecting users and resources of different social networks enables a lot of strategic applications whose main strength is the integration of different communities that nevertheless preserves their diversity and autonomy. In this new scenario, the role of Social Network Analysis is crucial in studying the evolution of structures, individuals, interactions, and so on, and in extracting powerful knowledge from them. But the preliminary step to do is designing a good way to crawl the underlying graph. Although this aspect has been deeply investigated in the field of social networks, it is an open issue when moving towards SISs. Indeed, we cannot expect that a crawling strategy, specifically designed for social networks, is still valid in a Social Internetworking Scenario, due to its specific topological features. In this paper, we confirm the above claim, giving a strong motivation for our second contribution, which is the definition of a new crawling strategy. This strategy, specifically conceived for SISs, is shown to fully overcome the drawbacks of the state-of-the-art crawling strategies.
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bridge analysis in a social Internetworking scenario
Information Sciences, 2013Co-Authors: Francesco Buccafurri, Antonino Nocera, Gianluca Lax, Vincenzo Daniele Foti, Domenico UrsinoAbstract:The rapid development of the number and the size of Online Social Networks (OSNs) makes the analysis of Social Internetworking Scenarios (SISs) extremely challenging. In a SIS, a user can join multiple OSNs and two users can interact with each other even though they joined different OSNs and did not know each other. While OSNs have been extensively studied in the last years, the most peculiar aspects of Social Internetworking Scenarios have not been yet investigated, especially from the Social Network Analysis perspective. Our paper tries to give a first important contribution in this field by deeply studying the core elements of a SIS, i.e., bridges. Bridges are those users who joined more OSNs and allow users of different OSNs to cooperate. We investigate the main features of this category of users by means of a Social Network Analysis campaign. In particular, we define several specific crawling strategies and extract several samples from a SIS by applying each of them. The experimental results define a clear ''identikit'' of bridges allowing us to state a number of non-trivial conclusions about their role in a SIS.
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crawling social Internetworking systems
Advances in Social Networks Analysis and Mining, 2012Co-Authors: Francesco Buccafurri, Antonino Nocera, Gianluca Lax, Domenico UrsinoAbstract:In new generation social networks, we expect that the paradigm of Social Internetworking Systems (SISs, for short) will be more and more important. In this new scenario, the role of Social Network Analysis is of course still crucial but the preliminary step to do is designing a good way to crawl the underlying graph. While this aspect has been deeply investigated in the field of social networks, it is an open issue when moving towards SISs. Indeed, we cannot expect that a crawling strategy which is good for social networks, is still valid in a Social Internetworking Scenario, due to its specific topological features. In this paper, we first confirm the above claim and, then, define a new crawling strategy specifically conceived for SISs. Finally, we show that it fully overcomes the drawbacks of the state-of-the-art crawling strategies.
Pasquale De Meo - One of the best experts on this subject based on the ideXlab platform.
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a conceptual framework for community detection characterisation and membership in a social Internetworking scenario
International Journal of Data Mining Modelling and Management, 2014Co-Authors: Pasquale De Meo, Antonino Nocera, Giovanni Quattrone, Domenico UrsinoAbstract:Social Internetworking systems are becoming a challenging new reality; they group together multiple, and possibly heterogenous, social networks. The typical problems of social network research become much more complex in a social Internetworking context. In this paper, we propose a conceptual framework, and an underlying model, to handle some of these problems, namely community detection, characterisation and membership in a social Internetworking scenario. In order to face them, we must preliminarily investigate a further problem, i.e., user similarity detection.
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recommendation of similar users resources and social networks in a social Internetworking scenario
Information Sciences, 2011Co-Authors: Pasquale De Meo, Antonino Nocera, Giorgio Terracina, Domenico UrsinoAbstract:In this paper we propose an approach to recommend to a user similar users, resources and social networks in a Social Internetworking Scenario. Our approach presents some interesting novelties with respect to the existing ones. First of all, it operates on a Social Internetworking context and not on a single social network. Moreover, it considers not only explicit relationships among users but also the implicit ones, connecting users on the basis of shared interests and behavior; the latter is derived from the analysis of user actions in the considered Social Internetworking Scenario. In addition, it considers the presence of possible semantic anomalies involving the description of available users, resources and social networks. Finally, it takes into account not only the local information regarding involved users, resources and social networks but also the global one, i.e., the information spread all over the considered Social Internetworking Scenario.
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recommendation of reliable users social networks and high quality resources in a social Internetworking system
Ai Communications, 2011Co-Authors: Pasquale De Meo, Antonino Nocera, Domenico Rosaci, Domenico UrsinoAbstract:Social Internetworking Systems are a significantly emerging new reality; they group together some social networks and allow their users to share resources, to acquire opinions and, more in general, to interact, even if these users belong to different social networks and, therefore, did not previously know each other. In this context, owing to the huge dimension of existing social networks, the capability of a Social Internetworking System to provide its users with recommendations of reliable users and social networks, as well as of high-quality resources, is extremely relevant. In the past, user and resource recommendation has been investigated in the context of a single social network, whereas it has still received a little attention in the context of a Social Internetworking System, owing to the novelty of this phenomenon. For the same reason, social network recommendation has received an even less attention. In this paper we propose a trust-based approach to face these challenges. Specifically, we introduce a model to represent and handle trust and reputation in a Social Internetworking System and propose an approach that exploits these parameters to compute the reliability of a user or a social network, as well as the quality of a resource. These last measures are then exploited to perform recommendations.
