Development of Information Science Based on Analysis of Papers from JASIST in 2014

  • Wang Xiaodi
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  • Department of Information Management, Peking University, Beijing 100871

Received date: 2015-09-22

  Revised date: 2015-11-03

  Online published: 2015-11-20

Abstract

[Purpose/significance] This paper aims at providing an overview of the development of information science in the western world. The overview will not only help researchers to have a quick grasp of the field, but also serve as a reference for spotting new research field.[Method/process] It takes papers from JASIST in 2014 for the basic data. Firstly, it establishes a field classification system for information science research. Then, it manually reads through every paper, categorizes them into a sub-class and gives a brief introduction about the paper.[Result/conclusion] Information science theory is becoming mature, which has not been focused on by researchers. There is a trend of diversity in the traditional information science field which include information communication and cooperation, informetrics and evaluation, information user, information retrieval, and information management. New media and privacy have become the new hot research topics. Meanwhile, information science pays more attention to the cultural facet of information.

Cite this article

Wang Xiaodi . Development of Information Science Based on Analysis of Papers from JASIST in 2014[J]. Library and Information Service, 2015 , 59(22) : 130 -140 . DOI: 10.13266/j.issn.0252-3116.2015.22.020

References

[1] Leydesdorff L, Goldstone R L. Interdisciplinarity at the journal and specialty level: The changing knowledge bases of the journal cognitive science[J] Journal of the Association for Information Science and Technology, 2014, 65(1): 164-177.
[2] Liu Yuxian, Rousseau R. Citation analysis and the development of science: A case study using articles by some Nobel prize winners[J] Journal of the Association for Information Science and Technology, 2014, 65(2): 281-289.
[3] Song Min, Kim S, Zhang Guo, et al. Productivity and influence in bioinformatics: A bibliometric analysis using PubMed central[J] Journal of the Association for Information Science and Technology, 2014, 65(2): 352-371.
[4] Ho Y, Kahn M. A bibliometric study of highly cited reviews in the Science Citation Index expanded?[J] Journal of the Association for Information Science and Technology, 2014, 65(2): 372-385.
[5] Baumgartner S E, Leydesdorff L. Group-based trajectory modeling (GBTM) of citations in scholarly literature: Dynamic qualities of "transient" and "sticky knowledge claims"[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 797-811.
[6] Cabanac G, Hubert G, Hartley J. Solo versus collaborative writing: Discrepancies in the use of tables and graphs in academic articles[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 812-820.
[7] Hilbert M. How much of the global information and communication explosion is driven by more, and how much by better technology?[J].Journal of the Association for Information Science and Technology, 2014, 65(4): 856-861.
[8] Li Rui, Chambers T, Ding Ying, et al. Patent citation analysis: Calculating science linkage based on citing motivation[J] Journal of the Association for Information Science and Technology, 2014, 65(5): 1007-1017.
[9] Larivière V, Sugimoto C R, Macaluso B, et al. arXiv E-prints and the journal of record: An analysis of roles and relationships[J] Journal of the Association for Information Science and Technology, 2014, 65(6): 1157-1169.
[10] Hills T, Segev E. The news is American but our memories are … Chinese?[J].Journal of the Association for Information Science and Technology, 2014, 65(9): 1810-1819.
[11] Díaz-Faes A A, Bordons M. Acknowledgments in scientific publications: Presence in Spanish science and text patterns across disciplines[J] Journal of the Association for Information Science and Technology, 2014, 65(9): 1834-1849.
[12] Huang Muhsuan, Huang Weitzu, Chang Chengching, et al. The greater scattering phenomenon beyond Bradford's law in patent citation[J] Journal of the Association for Information Science and Technology, 2014, 65(9): 1917-1928.
[13] Leydesdorff L, Park H W, Wagner C. International coauthorship relations in the Social Sciences Citation Index: Is internationalization leading the Network?[J].Journal of the Association for Information Science and Technology, 2014, 65(10): 2111-2126.
[14] Koppel M, Schweitzer N. Measuring direct and indirect authorial influence in historical corpora[J] Journal of the Association for Information Science and Technology, 2014, 65(10): 2138-2144.
[15] Pislyakov V, Shukshina E. Measuring excellence in Russia: Highly cited papers, leading institutions, patterns of national and international collaboration[J] Journal of the Association for Information Science and Technology, 2014, 65(11): 2321-2330.
[16] Milard B. The social circles behind scientific references: Relationships between citing and cited authors in chemistry publications[J] Journal of the Association for Information Science and Technology, 2014, 65(12): 2459-2468.
[17] Abrizah A, Thelwall M. Can the impact of non-Western academic books be measured? An investigation of Google Books and Google Scholar for Malaysia[J] Journal of the Association for Information Science and Technology, 2014, 65(12): 2498-2508.
[18] Björk B, Laakso M, Welling P, et al. Anatomy of green open access[J] Journal of the Association for Information Science and Technology, 2014, 65(2): 237-250.
[19] Björk B. Open access subject repositories: An overview[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 698-706.
[20] Pinfield S, Salter J, Bath P A, et al. Open-access repositories worldwide, 2005-2012: Past growth, current characteristics, and future possibilities[J] Journal of the Association for Information Science and Technology, 2014, 65(12): 2404-2421.
[21] Rodrigues R S, Abadal E. Scientific journals in Brazil and Spain: Alternative publishing models[J] Journal of the Association for Information Science and Technology, 2014, 65(10): 2145-2151.
[22] Kousha K, Thelwall M. Disseminating research with Web CV hyperlinks[J] Journal of the Association for Information Science and Technology, 2014, 65(8): 1615-1626.
[23] Douglass K, Allard S, Tenopir C, et al. Managing scientific data as public assets: Data sharing practices and policies among full-time government employees[J] Journal of the Association for Information Science and Technology, 2014, 65(2): 251-262.
[24] Eschenfelder K R, Johnson A. Managing the data commons: Controlled sharing of scholarly data[J] Journal of the Association for Information Science and Technology, 2014, 65(9): 1757-1774.
[25] Boyack K W, Klavans R. Creation of a highly detailed, dynamic, global model and map of science[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 670-685.
[26] Ding Wanying, Chen Chaomei. Dynamic topic detection and tracking: A comparison of HDP, C-word, and cocitation methods[J] Journal of the Association for Information Science and Technology, 2014, 65(10): 2084-2097.
[27] Yan Erjia. Finding knowledge paths among scientific disciplines[J] Journal of the Association for Information Science and Technology, 2014, 65(11): 2331-2347.
[28] Bornmann L, Marx W. Distributions instead of single numbers: Percentiles and beam plots for the assessment of single researchers[J] Journal of the Association for Information Science and Technology, 2014, 65(1): 206-208.
[29] Vieira E S, Cabral J A S, Gomes J A N F. Definition of a model based on bibliometric indicators for assessing applicants to academic positions[J] Journal of the Association for Information Science and Technology, 2014, 65(3): 560-577.
[30] Bornmann L, de Moya Anegón F. What proportion of excellent papers makes an institution one of the best worldwide? Specifying thresholds for the interpretation of the results of the SCImago Institutions Ranking and the Leiden Ranking[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 732-736.
[31] Egghe L. Informetric explanation of some Leiden Ranking graphs[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 737-741.
[32] Zuccala A, van Someren M, van Bellen M. A machine-learning approach to coding book reviews as quality indicators: Toward a theory of megacitation[J] Journal of the Association for Information Science and Technology, 2014, 65(11): 2248-2260.
[33] Ding Ying, Zhang Guo, Chambers T, et al. Content-based citation analysis: The next generation of citation analysis[J] Journal of the Association for Information Science and Technology, 2014, 65(9): 1820-1833.
[34] Wan Xiaojun, Liu Fang. Are all literature citations equally important? Automatic citation strength estimation and its applications[J] Journal of the Association for Information Science and Technology, 2014, 65(9): 1929-1938.
[35] Liu J S, Chen Hsiaohui, Ho Mei Hsiuching, et al. Citations with different levels of relevancy: Tracing the main paths of legal opinions[J] Journal of the Association for Information Science and Technology, 2014, 65(12): 2479-2488.
[36] Heneberg P. Parallel worlds of citable documents and others: Inflated commissioned opinion articles enhance scientometric indicators[J] Journal of the Association for Information Science and Technology, 2014, 65(3): 635-643.
[37] Delgado López-Cózar E, Robinson-García N, Torres-Salinas D. The Google Scholar experiment: How to index false papers and manipulate bibliometric indicators[J] Journal of the Association for Information Science and Technology, 2014, 65(3): 446-454.
[38] Prathap G. The zynergy-index and the formula for the h-index[J] Journal of the Association for Information Science and Technology, 2014, 65(2): 426-427.
[39] Ye F Y, Leydesdorff L. The "academic trace" of the performance matrix: A mathematical synthesis of the h-index and the integrated impact indicator (I3)[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 742-750.
[40] Fiala D. Current index: A proposal for a dynamic rating system for researchers[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 850-855.
[41] Egghe L. A good normalized impact and concentration measure[J] Journal of the Association for Information Science and Technology, 2014, 65(10): 2152-2154.
[42] Waltman L, Costas R. F1000 recommendations as a potential new data source for research evaluation: A Comparison With Citations[J] Journal of the Association for Information Science and Technology, 2014, 65(3): 433-445.
[43] Haustein S, Peters I, Sugimoto C R, et al. Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 656-669.
[44] Shema H, Barllan J, Thelwall M. Do blog citations correlate with a higher number of future citations? Research blogs as a potential source for alternative metrics[J] Journal of the Association for Information Science and Technology, 2014, 65(5): 1018-1027.
[45] Vaughan L, Romero-Frías E. Web search volume as a predictor of academic fame: An exploration of Google Trends[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 707-720.
[46] Mohammadi E, Thelwall M. Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows[J] Journal of the Association for Information Science and Technology, 2014, 65(8): 1627-1638.
[47] Ortega J L, Aguillo I F. Microsoft academic search and Google scholar citations: Comparative analysis of author profiles[J] Journal of the Association for Information Science and Technology, 2014, 65(6): 1149-1156.
[48] Qiu Xinying, Srinivasan P, Hu Y. Supervised learning models to predict firm performance with annual reports: An empirical study[J] Journal of the Association for Information Science and Technology, 2014, 65(2): 400-413.
[49] Koppel M, Winter Y. Determining if two documents are written by the same author[J] Journal of the Association for Information Science and Technology, 2014, 65(1): 178-187.
[50] Liu Wanli, Islamaj Doan R, Kim S, et al. Author name disambiguation for PubMed[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 765-781.
[51] Ferreira A A, Veloso A, Gonçalves M A, et al. Self-training author name disambiguation for information scarce scenarios[J] Journal of the Association for Information Science and Technology, 2014, 65(6): 1257-1278.
[52] Aloteibi S, Sanderson M. Analyzing geographic query reformulation: An exploratory study[J] Journal of the Association for Information Science and Technology, 2014, 65(1): 13-24.
[53] Workman T E, Fiszman M, Rindflesch T C, et al. Framing serendipitous information-seeking behavior for facilitating literature-based discovery: A proposed model[J] Journal of the Association for Information Science and Technology, 2014, 65(3): 501-512.
[54] Makri S, Blandford A, Woods M, et al. "Making my own luck": Serendipity strategies and how to support them in digital information environments[J] Journal of the Association for Information Science and Technology, 2014, 65(11): 2179-2194.
[55] Gooda Sahib N, Tombros A, Stockman T. Investigating the behavior of visually impaired users for multi-session search tasks[J] Journal of the Association for Information Science and Technology, 2014, 65(1): 69-83.
[56] Watson C. An exploratory study of secondary students' judgments of the relevance and reliability of information[J] Journal of the Association for Information Science and Technology, 2014, 65(7): 1385-1408.
[57] Lopatovska I. Toward a model of emotions and mood in the online information search process[J] Journal of the Association for Information Science and Technology, 2014, 65(9): 1775-1793.
[58] Parsons P, Sedig K. Adjustable properties of visual representations: Improving the quality of human-information interaction[J] Journal of the Association for Information Science and Technology, 2014, 65(3): 455-482.
[59] Hartel J. An arts-informed study of information using the draw-and-write technique[J] Journal of the Association for Information Science and Technology, 2014, 65(7): 1349-1367.
[60] Xiao Lu.Effects of rationale awareness in online ideation crowdsourcing tasks[J] Journal of the Association for Information Science and Technology, 2014, 65(8): 1707-1720.
[61] Tabak E. Jumping between context and users: A difficulty in tracing information practices[J] Journal of the Association for Information Science and Technology, 2014, 65(11): 2223-2232.
[62] Hemminger B M, Termaat J. Annotating for the world: Attitudes toward sharing scholarly annotations[J] Journal of the Association for Information Science and Technology, 2014, 65(11): 2278-2292.
[63] Sinn D, Soares N. Historians' use of digital archival collections: The Web, historical scholarship, and archival research[J] Journal of the Association for Information Science and Technology, 2014, 65(9): 1794-1809.
[64] Du J T. The information journey of marketing professionals: Incorporating work task-driven information seeking, information judgments, information use, and information sharing[J] Journal of the Association for Information Science and Technology, 2014, 65(9): 1850-1869.
[65] Choo Chunwei, Nadarajah I. Early warning information seeking in the 2009 Victorian Bushfires[J] Journal of the Association for Information Science and Technology, 2014, 65(1): 84-97.
[66] Bouhnik D, Mor D. Gender differences in the moral judgment and behavior of Israeli adolescents in the internet environment[J] Journal of the Association for Information Science and Technology, 2014, 65(3): 551-559.
[67] Kim D, Chun H, Lee H. Determining the factors that influence college students' adoption of smartphones[J] Journal of the Association for Information Science and Technology, 2014, 65(3): 578-588.
[68] Meadowbrooke C C, Veinot T C, Loveluck J, et al. Information behavior and HIV testing intentions among young men at risk for HIV/AIDS[J] Journal of the Association for Information Science and Technology, 2014, 65(3): 609-620.
[69] Chuang K Y, Yang C C. Informational support exchanges using different computer-mediated communication formats in a social media alcoholism community[J] Journal of the Association for Information Science and Technology, 2014, 65(1): 37-52.
[70] Kajanan S, Bao Y, Datta A, et al. Efficient automatic search query formulation using phrase-level analysis[J] Journal of the Association for Information Science and Technology, 2014, 65(5): 1058-1075.
[71] Symonds M, Bruza P, Zuccon G, et al. Automatic query expansion: A structural linguistic perspective[J] Journal of the Association for Information Science and Technology, 2014, 65(8): 1577-1596.
[72] Pal D, Mitra M, Datta K. Improving query expansion using WordNet[J] Journal of the Association for Information Science and Technology, 2014, 65(12): 2469-2478.
[73] Brando W C, Santos R L T, Ziviani N, et al. Learning to expand queries using entities[J] Journal of the Association for Information Science and Technology, 2014, 65(9): 1870-1883.
[74] Sarnikar S, Zhang Zhu, Zhao J L. Query-performance prediction for effective query routing in domain-specific repositories[J] Journal of the Association for Information Science and Technology, 2014, 65(8): 1597-1614.
[75] Torres S D, Hiemstra D, Weber I, et al. Query recommendation in the information domain of children[J] Journal of the Association for Information Science and Technology, 2014, 65(7): 1368-1384.
[76] Koumenides C L, Shadbolt N R. Ranking methods for entity-oriented semantic Web search[J] Journal of the Association for Information Science and Technology, 2014, 65(6): 1091-1106.
[77] Silva R M, Gonçalves M A, Veloso A. A two-stage active learning method for learning to rank[J] Journal of the Association for Information Science and Technology, 2014, 65(1): 109-128.
[78] Wu Mingfang, Turpin A, Thom J A, et al. Cost and benefit estimation of experts' mediation in an enterprise search[J] Journal of the Association for Information Science and Technology, 2014, 65(1): 146-163.
[79] Wang Xiaolu, Hong Zhijuan, Xu Yunjie, et al. Relevance judgments of mobile commercial information[J] Journal of the Association for Information Science and Technology, 2014, 65(7): 1335-1348.
[80] Lu Kun, Kipp M E I. Understanding the retrieval effectiveness of collaborative tags and author keywords in different retrieval environments: An experimental study on medical collections[J] Journal of the Association for Information Science and Technology, 2014, 65(3): 483-500.
[81] Chen Yaning, Ke Haoren. A study on mental models of taggers and experts for article indexing based on analysis of keyword usage[J] Journal of the Association for Information Science and Technology, 2014, 65(8): 1675-1694.
[82] Dang E K F, Luk R W P, Allan J. Beyond bag-of-words: Bigram-enhanced context-dependent term weights[J] Journal of the Association for Information Science and Technology, 2014, 65(6): 1134-1148.
[83] Zhang Yan, Broussard R, Ke Weimao, et al. Evaluation of a scatter/gather interface for supporting distinct health information search tasks[J] Journal of the Association for Information Science and Technology, 2014, 65(5): 1028-1041.
[84] Liu Xiaozhong, Qin Jian. An interactive metadata model for structural, descriptive, and referential representation of scholarly output[J] Journal of the Association for Information Science and Technology, 2014, 65(5): 964-983.
[85] Liu Xiaozhong, Guo Chun, Zhang Lin. Scholar metadata and knowledge generation with human and artificial intelligence[J] Journal of the Association for Information Science and Technology, 2014, 65(6): 1187-1201.
[86] Palavitsinis N, Manouselis N, Sanchez-Alonso S. Metadata quality in digital repositories: Empirical results from the cross-domain transfer of a quality assurance process[J] Journal of the Association for Information Science and Technology, 2014, 65(6): 1202-1216.
[87] Golub K, Tudhope D, Zeng M L, et al. Terminology registries for knowledge organization systems: Functionality, use, and attributes[J] Journal of the Association for Information Science and Technology, 2014, 65(9): 1901-1916.
[88] Mayor C, Robinson L. Ontological realism and classification: Structures and concepts in the Gene Ontology[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 686-697.
[89] Di Iorio A, Peroni S, Poggi F, et al. Dealing with structural patterns of XML documents[J] Journal of the Association for Information Science and Technology, 2014, 65(9): 1884-1900.
[90] Loehrlein A J, Lemieux V L, Bennett M. The classification of financial products[J] Journal of the Association for Information Science and Technology, 2014, 65(2): 263-280.
[91] Wang Zhonghong, Khoo C S G, Chaudhry A S. Evaluation of the navigation effectiveness of an organizational taxonomy built on a general classification scheme and domain thesauri[J] Journal of the Association for Information Science and Technology, 2014, 65(5): 948-963.
[92] Zhang Lei. Linking information through function[J] Journal of the Association for Information Science and Technology, 2014, 65(11): 2293-2305.
[93] Klavans J L, Laplante R, Golbeck J. Subject matter categorization of tags applied to digital images from art museums[J] Journal of the Association for Information Science and Technology, 2014, 65(1): 3-12.
[94] Jörgensen C, Stvilia B, Wu Shuheng. Assessing the relationships among tag syntax, semantics, and perceived usefulness[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 836-849.
[95] Liu Bo, Yuan Quan, Cong Gao, et al. Where your photo is taken: Geolocation prediction for social images[J] Journal of the Association for Information Science and Technology, 2014, 65(6): 1232-1243.
[96] Arakawa Y, Kameda A, Aizawa A, et al. Adding Twitter-specific features to stylistic features for classifying tweets by user type and number of retweets[J] Journal of the Association for Information Science and Technology, 2014, 65(7): 1416-1423.
[97] Stieger S, Swami V. Twitter users' interest in asteroid 2012 DA14 mirrored the asteroid's trajectory during its Earth flyby[J] Journal of the Association for Information Science and Technology, 2014, 65(7): 1409-1415.
[98] Xiao Lu, Askin N. What influences online deliberation? A wikipedia study[J] Journal of the Association for Information Science and Technology, 2014, 65(5): 898-910.
[99] Okoli C, Mehdi M, Mesgari M, et al. Wikipedia in the eyes of its beholders: A systematic review of scholarly research on Wikipedia readers and readership[J] Journal of the Association for Information Science and Technology, 2014, 65(12): 2381-2403.
[100] Barbu E. What kind of knowledge is in Wikipedia? Unsupervised extraction of properties for similar concepts[J] Journal of the Association for Information Science and Technology, 2014, 65(12): 2489-2497.
[101] Stern T, Kumar N. Improving privacy settings control in online social networks with a wheel interface[J] Journal of the Association for Information Science and Technology, 2014, 65(3): 524-538.
[102] Thelwall M, Kousha K. Academia.edu: Social network or Academic Network? Journal of the Association for Information Science and Technology, 2014, 65(4): 721-731.
[103] Ravindran T, Yeow Kuan A C, Hoe Lian D G. Antecedents and effects of social network fatigue[J] Journal of the Association for Information Science and Technology, 2014, 65(11): 2306-2320.
[104] Harvey M J, Harvey M G. Privacy and security issues for mobile health platforms[J] Journal of the Association for Information Science and Technology, 2014, 65(7): 1305-1318.
[105] Li Ting, Slee T. The effects of information privacy concerns on digitizing personal health records[J] Journal of the Association for Information Science and Technology, 2014, 65(8): 1541-1554.
[106] Rubel A, Biava R. A framework for analyzing and comparing privacy states[J] Journal of the Association for Information Science and Technology, 2014, 65(12): 2422-2431.
[107] Suorsa A, Huotari M. Knowledge creation and the concept of a human being: A phenomenological approach[J] Journal of the Association for Information Science and Technology, 2014, 65(5): 1042-1057.
[108] Bergman O, Whittaker S, Falk N. Shared files: The retrieval perspective[J] Journal of the Association for Information Science and Technology, 2014, 65(10): 1949-1963.
[109] Diekema A R, Olsen M W. Teacher Personal information management (PIM) practices: Finding, keeping, and re-finding information[J] Journal of the Association for Information Science and Technology, 2014, 65(11): 2261-2277.
[110] Dougherty M, Meyer E T. Community, tools, and practices in Web archiving: The state-of-the-art in relation to social science and humanities research needs[J] Journal of the Association for Information Science and Technology, 2014, 65(11): 2195-2209.
[111] Salminen A, Jauhiainen E, Nurmeksela R. A life cycle model of XML documents[J] Journal of the Association for Information Science and Technology, 2014, 65(12): 2564-2580.
[112] Davison R M, Ou C X J, Martinsons M G, et al. The communicative ecology of Web 2.0 at work: Social networking in the workspace[J] Journal of the Association for Information Science and Technology, 2014, 65(10): 2035-2047.
[113] Hilbert M. Technological information inequality as an incessantly moving target: The redistribution of information and communication capacities between 1986 and 2010[J] Journal of the Association for Information Science and Technology, 2014, 65(4): 821-835.
[114] Li Rowena. The influence of geospatial factors on democracy: Its representation on Web interface design[J].Journal of the Association for Information Science and Technology, 2014, 65(2): 313-333.
[115] Leydesdorff L, Ivanova I A. Mutual redundancies in interhuman communication systems: Steps toward a calculus of processing meaning[J] Journal of the Association for Information Science and Technology, 2014, 65(2): 386-399.

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