A Social Network Based Approach to the Evolutionary Analysis of Participatory Messages
نویسنده
چکیده
Information about the social networks of people is now becoming available through APIs offered by websites such as Facebook and Orkut. Our insight is that this social network information can be used to infer the social context in which people are embedded in real life, and to develop mathematical models that can incorporate context-sensitivity in information retrieval algorithms. We focus on participatory messages such as blog posts and forum discussions, and develop models considering the social network of message authors and recipients to predict the usefulness of messages to different recipients. We validate our claims by surveying real users and correlating their responses with measurements on a web-crawl of a social networking website. The precise mathematical definitions offered by us can be incorporated in personalized document ranking metrics, and demonstrate a novel approach that integrates elements of information science and sociology for analysis of participatory messages.
منابع مشابه
Automatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach
In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...
متن کاملReverse Engineering of Network Software Binary Codes for Identification of Syntax and Semantics of Protocol Messages
Reverse engineering of network applications especially from the security point of view is of high importance and interest. Many network applications use proprietary protocols which specifications are not publicly available. Reverse engineering of such applications could provide us with vital information to understand their embedded unknown protocols. This could facilitate many tasks including d...
متن کاملThe effect of health-related messages on the behavior of social network audiences according to attention, interest, desire, action model
Nowadays the audience’s behaviors and reactions to health-related messages are of great importance. The present research aimed at studying the effect of health-related messages on the behaviors of social networks audiences according to attention, interest, desire, action model. The study used structural equation modeling to analyze the gathered data. The data were collected from the audiences o...
متن کاملMass Media vs. the Mass of Media: A Study on the Human Nodes in a Social Network and their Chosen Messages
In Internet-based social networks, the nodes have the most pivotal role in the processes and outcomes of the networks. Whether they pay attention to a message in the network or ignore it defines the fate of the message. One message is shared and re-shared by millions of users and another is left forgotten. The current study tries to shed light on one aspect of the role of the users in a social ...
متن کاملA Study on the Network Governance System of Crisis Management in Tehran, Iran, Based On Participatory Governance: A Social Network Analysis
Background and objective This study aims to analyze the network governance of safety and crisis management in Tehran by examining the laws of the fourth development plan and emphasizing the participation of key actors, including government institutions, the private sector, non-governmental organizations, and local communities using social network analysis. Method In this study, 22 laws with 101...
متن کامل