An approach to compute the scope of a social object in a Multi-IoT scenario

The concept of scope was introduced in Social Network Analysis to assess the authoritativeness and convincing ability of a user toward other users on one or more social platforms. It has been studied in the past in some specific contexts, for example to assess the ability of a user to spread information on Twitter. In this paper, we propose a new investigation on scope, as we want to assess the scope of the sentiment of a user on a topic. We also propose a multi-dimensional definition of scope. In fact, besides the traditional spatial scope, we introduce the temporal one, which has never been addressed in the literature, and propose a model that allows the concept of scope to be extended to further dimensions in the future. Furthermore, we propose an approach and a related set of parameters for measuring the scope of the sentiment of a user on a topic in a social network. Finally, we illustrate the results of an experimental campaign we conducted to evaluate the proposed framework on a dataset derived from Reddit. The main novelties of this paper are: (i) a multi-dimensional view of scope; (ii) the introduction of the concept of sentiment scope; (iii) the definition of a general framework capable of analyzing the sentiment scope related to any subject on any social network.

/pdf/a-space-time-framework-for-sentiment-scope-analysis-in-3kiafbm2.pdf

A Space-Time Framework for Sentiment Scope Analysis in Social Media

In this paper, we investigate the scope of a thing in a multiple IoT scenario. First we introduce the concept of scope in general, and we illustrate how it has been investigated and applied in social networking. Then, we define the scope of a thing in a Multi-IoT scenario, modeled as an extension of a Social Internetworking System, and we propose a formalization of scope allowing the computation of its values. Finally, we present a possible application of scope and describe some tests that we performed for evaluation purposes.

/pdf/investigating-the-scope-of-a-thing-in-a-multiple-internet-of-4hy8hbrr1o.pdf

Investigating the Scope of a Thing in a Multiple Internet of Things Scenario.

In this paper we aim at analyzing the scope of an entity in Twitter. In particular, we want to define a framework for measuring this scope from multiple viewpoints (e.g., influence, reliability, popularity) simultaneously and for multiple entities (e.g., users, hashtags). In this way, we can compare different properties and/or different entities. This comparison allows the extraction of knowledge patterns (for instance, the presence of anomalies and outliers) that can be exploited in several application domains (for example, information diffusion). The scope of an entity within a social network represents the extension of the area in which it is relevant. Scope is an extremely important factor when one wants to analyze how much an entity conditions the social environment around it. Scope investigation can be performed w.r.t. several social properties, for instance social influence (i.e., how much an entity stimulates its neighbors to behave in a similar way) or reliability (i.e., how much the content provided by an entity is valuable for its neighbors). The usefulness of this information is extremely valuable in very different fields of social research, for instance in the analysis of how information spreads within a social network, or in determining the trust and the reputation of a user in a network (5). In the past, a lot of effort has been put in the computation of specific features ex- pressing the conditioning of a social network entity (e.g., a user) on its neighbors. For instance, as for the evaluation of user influence, (4) proposes to exploit the well known PageRank algorithm to assess the distribution of influence throughout the network. With the aim of taking not only network topology but also user behav- ior into account, (12) develops Influence Passivity, a graph-based approach, similar to the HITS algorithm, which assigns a relative influence and a passivity score to each user, based on the fraction of information forwarded by her. Following a simi- lar idea, (16) proposes TwitterRank, an evolution of PageRank that measures user influence by considering both the topics of interest for users and link structure. A totally different approach is adopted by (7) that characterizes influential users by tackling the influence maximization problem (6).

Defining and Investigating the Scope of Users and Hashtags in Twitter (Short Paper)

In this paper we aim at analyzing the scope of an entity in Twitter. In particular, we want to define a framework for measuring this scope from multiple viewpoints (e.g., influence, reliability, popularity) simultaneously and for multiple entities (e.g., users, hashtags). In this way, we can compare different properties and/or different entities. This comparison allows the extraction of knowledge patterns (for instance, the presence of anomalies and outliers) that can be exploited in several application domains (for example, information diffusion).

Defining and Investigating the Scope of Users and Hashtags in Twitter

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Defining and Investigating the Scope of Users and Hashtags in Twitter (Short Paper)

Defining and Investigating the Scope of Users and Hashtags in Twitter