Library Hi Tech: Volume 38 Issue 2

Subjects:

Table of contents - Special Issue: Informetrics on social network mining: research, policy and practice challenges

Guest Editors: Mu-Yen Chen, Chien-Hsiang Liao, Edwin David Lughofer

Overlapping community detection based on the union of all maximum spanning trees

Khawla Asmi, Dounia Lotfi, Mohamed El Marraki

The state-of-the-art methods designed for overlapping community detection are limited by their high execution time as in CPM or the need to provide some parameters like the number…

Academic social networks and collaboration patterns

Po-Yen Chen

This study attempts to use a new source of data collection from open government data sets to identify potential academic social networks (ASNs) and defines their collaboration…

Statistical and bibliometric analysis of financial innovation

Ting-Hsuan Chen, Jin-Lung Peng

The purpose of this paper is to review and analyze the characteristics of the literature related to financial innovation, because financial technology (fintech) has been…

Constructing the social network prediction model based on data mining and link prediction analysis

Yuxian Gao

The purpose of this paper is to apply link prediction to community mining and to clarify the role of link prediction in improving the performance of social network analysis.

The quantitative analysis of difference between Chinese and German libraries subject services

Qingyun Hu

The purpose of this paper is to study the difference of subject service between Chinese and German libraries. Subject service is the key direction of user-oriented service in…

Multi-level framework for anomaly detection in social networking

Aditya Khamparia, Sagar Pande, Deepak Gupta, Ashish Khanna, Arun Kumar Sangaiah

The purpose of this paper is to propose a structured multilevel system that will distinguish the anomalies present in different online social networks (OSN).

The research landscape of big data: a bibliometric analysis

Xiaohong Liu, Ruiqing Sun, Shiyun Wang, Yenchun Jim Wu

In recent years, the rapid growth of big data has presented immense potential for business applications as well as raised great interest from academia. In response to this…

The scientometrics of literature on smart cities

Shima Moradi

The purpose of this paper is to analyze the research trends in smart cities (SCs) in order to demonstrate the most and the least active fields, researchers, institutions, frontier…

A novel method for merging academic social network ontologies using formal concept analysis and hybrid semantic similarity measure

M. Priya, Aswani Kumar Ch.

The purpose of this paper is to merge the ontologies that remove the redundancy and improve the storage efficiency. The count of ontologies developed in the past few eras is…

Bibliometric study of social network analysis literature

Yu-Sheng Su, Chien-Linag Lin, Shih-Yeh Chen, Chin-Feng Lai

The purpose of this paper is to use bibliometric analysis to identify the current state of the academic literature regarding social network analysis (SNA) and analyze its…

1060

How does the team expertise heterogeneity improve entrepreneurial performance?: Analysis from the perspective of academic social network

Yi Zhang, Wanhong Zhang

The purpose of this paper is to examine the relationship between team heterogeneity and team performance in entrepreneurial team and is also of significance in guiding the…

Analysis of the original influencing factors and secondary influencing factors of academic papers

Rongying Zhao, Yu Bo

The influencing factors of academic papers have always been the focus of attention in the field of Scientometrics. Exploring the influencing factors of altmetrics indicators and…

Research on impact evaluation of academic journals from multidimensional perspective: Taking international multi-disciplinary journals as an example

Rongying Zhao, Xu Wang

The purpose of this paper is to introduce altmetric indicators and combine with traditional citation indicators to comprehensively evaluate the impact of academic journals from…

Bibliometric analysis of patent infringement retrieval model based on self-organizing map neural network algorithm

Dimin Zhu

The purpose of this paper is to quickly retrieve the same or similar patents in a large patent database.

Cover of Library Hi Tech

ISSN:

0737-8831

Online date, start – end:

1983

Copyright Holder:

Emerald Publishing Limited

Open Access:

hybrid

Editors:

  • Dr Dickson K.W. Chiu
  • Dr Kevin K.W. Ho