Initial based disambiguation of author names is a common data pre-processing step in bibliometrics. It is widely accepted that this procedure can introduce errors into network data and any subsequent analytical results. What is not sufficiently understood is the precise impact of this step on the data and findings. We present an empirical answer to this question by comparing the impact of two commonly used initial based disambiguation methods against a reasonable proxy for ground truth data. We use DBLP, a database covering major journals and conferences in computer science and information science, as a source. We find that initial based disambiguation induces strong distortions in network metrics on the graph and node level: Authors become embedded in ties for which there is no empirical support, thus increasing their sphere of influence and diversity of involvement. Consequently, networks generated with initial-based disambiguation are more coherent and interconnected than the actual underlying networks, and individual authors appear to be more productive and more strongly embedded than they actually are.
As Topic Modeling has been applied in increasingly various domains, the difficulty in naming and characterizing topics also has been recognized more. This study, therefore, explores an approach of combining text mining with network analysis in a multi-step approach. The concept of synchronization was applied to re-assign the top author keywords in more than one topic category, in order to improve the visibility of the topic-author keyword network, and to increase the topical cohesion in each topic. The suggested approach was applied using 16,548 articles with 2,881 unique author keywords in construction and building engineering indexed by KSCI. As a result, it was revealed that the combined approach could improve both the visibility of the topic-author keyword map and topical cohesion in most of the detected topic categories. There should be more cases of applying the approach in various domains for generalization and advancement of the approach. Also, more sophisticated evaluation methods should also be necessary to develop the suggested approach.
Mobile devices are the most important equipment for accessing various kinds of services. These services are accessed using wireless signals, the same used for mobile calls. Today mobile services provide a fast and excellent way to access all kinds of information via mobile phones. Mobile service providers are interested to know the access behavior pattern of the users from different locations at different timings. In this paper, we have introduced an associated tree for analyzing user behavior patterns while moving from one location to another. We have used four different parameters, namely user, location, dwell time, and services. These parameters provide stronger frequent accessing patterns by matching joins. These generated patterns are valuable for improving web services, recommending new services, and predicting useful services for individuals or groups of users. In addition, an experimental evaluation has been conducted on simulated data. Finally, performance of the proposed approach has been measured in terms of efficiency and scalability. The proposed approach produces excellent results.
Public libraries provide information to all persons and its users are the inhabitants of the community it serves. This may not be the reality in some cases as some category of persons may not be properly served by the public library. This study assesses the provision of information materials in alternative format, in terms of its availability, access and level of use by the visually impaired in public libraries in southwestern Nigeria. The study adopted survey research design. Four (4) public libraries in four states were purposively selected because they are the ones that provide alternative format for the use of a sizable number of the visually impaired. Complete enumeration was used to capture all the 166 registered users of the libraries through the use of observations checklist and interview schedule. Data from 69.2% of the 166 visually impaired persons that were interviewed, and the observations made were analyzed. The result reveals that alternative formats availability were inadequate and , e-resources were not available while access to formats and information desired by the users were limited. Braille is the most utilized format; audio materials and large prints were seldom used. The demand for alternative formats is high but it is not related to level of use of materials. Provision of information materials in alternative formats for the visually impaired in public libraries cannot support the needs of the visually impaired; it requires intervention from all stakeholders. The study recommends improved investment and funding for public libraries and services to persons with disabilities.
This paper depicts a study conducted on the behavior of physical education students towards Internet usage at Kurukshetra University, Kurukshetra. Specially, the study aims to know the purposes for use of Internet resources and services, frequency of use, places and means of use, student’s satisfaction level toward the Internet, and problems faced while using the Internet. A survey was carried out with a sample of 100 physical education students of Kurukshetra University and the response rate was 88%. A well-designed questionnaire was distributed to the students’ sample. Amazingly, the results of the study reveal that usage of the Internet in research and education was not favored, whereas email, chatting, and sports websites were commonly used among students. The study also found that too much information on the Internet, slow access speeds, and finding relevant information were the main problems in using the Internet.