Editorial introduction: The power of words and networks

Abstract According to Freud “words were originally magic and to this day words have retained much of their ancient magical power”. By words, behaviors are transformed and problems are solved. The way we use words reveals our intentions, goals and values. Novel tools for text analysis help understand the magical power of words. This power is multiplied, if it is combined with the study of social networks, i.e. with the analysis of relationships among social units. This special issue of the International Journal of Information Management, entitled “Combining Social Network Analysis and Text Mining: from Theory to Practice”, includes heterogeneous and innovative research at the nexus of text mining and social network analysis. It aims to enrich work at the intersection of these fields, which still lags behind in theoretical, empirical, and methodological foundations. The nine articles accepted for inclusion in this special issue all present methods and tools that have business applications. They are summarized in this editorial introduction.

[1]  Davide Aloini,et al.  Process fragmentation and port performance: Merging SNA and text mining , 2020, Int. J. Inf. Manag..

[2]  Yogesh Kumar Dwivedi,et al.  Search engine marketing is not all gold: Insights from Twitter and SEOClerks , 2018, Int. J. Inf. Manag..

[3]  Andrea Fronzetti Colladon,et al.  Identifying Tribes on Twitter Through Shared Context , 2019, Studies on Entrepreneurship, Structural Change and Industrial Dynamics.

[4]  Andrea Fronzetti Colladon,et al.  The Semantic Brand Score , 2018, ArXiv.

[5]  Germana Scepi,et al.  A network-based concept extraction for managing customer requests in a social media care context , 2020, Int. J. Inf. Manag..

[6]  A. J. Lewis,et al.  New introductory lectures on psychoanalysis , 1934 .

[7]  Martin G. Everett,et al.  Network text analysis: A two-way classification approach , 2020, Int. J. Inf. Manag..

[8]  Peng Wu,et al.  Social media opinion summarization using emotion cognition and convolutional neural networks , 2020, Int. J. Inf. Manag..

[9]  Andrea Fronzetti Colladon,et al.  Put your money where your mouth is: Using deep learning to identify consumer tribes from word usage , 2020, Int. J. Inf. Manag..

[10]  Jonice Oliveira,et al.  Mining social influence in science and vice-versa: A topic correlation approach , 2020, Int. J. Inf. Manag..

[11]  Johanne Saint-Charles,et al.  Social influence and discourse similarity networks in workgroups , 2018, Soc. Networks.

[12]  P. Gloor.  Sociometrics and Human Relationships: Analyzing Social Networks to Manage Brands, Predict Trends, and Improve Organizational Performance , 2017 .

[13]  Alessandro Polli,et al.  Emotional Text Mining: Customer profiling in brand management , 2020, Int. J. Inf. Manag..

[14]  Wu He,et al.  International Journal of Information Management Social Media Competitive Analysis and Text Mining: a Case Study in the Pizza Industry , 2022 .

[15]  James Lannigan.  Making a space for taste: Context and discourse in the specialty coffee scene , 2020, Int. J. Inf. Manag..

[16]  A. Wolfe.  Social Network Analysis: Methods and Applications , 1997 .

[17]  Andrea Fronzetti Colladon,et al.  Forecasting managerial turnover through e-mail based social network analysis , 2017, Comput. Hum. Behav..

[18]  Jana Diesner.  From Texts to Networks: Detecting and Managing the Impact of Methodological Choices for Extracting Network Data from Text Data , 2012, KI - Künstliche Intelligenz.

[19]  Sigmund Freud,et al.  New Introductory Lectures on Psycho-Analysis , 1933 .

[20]  Terrill L. Frantz,et al.  Communication Networks from the Enron Email Corpus “It's Always About the People. Enron is no Different” , 2005, Comput. Math. Organ. Theory.

[21]  Andrea Fronzetti Colladon,et al.  The impact of virtual mirroring on customer satisfaction , 2017, ArXiv.

[22]  Andrea Fronzetti Colladon,et al.  Forecasting election results by studying brand importance in online news , 2020, ArXiv.

[23]  Johanne Saint-Charles,et al.  Predicting semantic preferences in a socio-semantic system with collaborative filtering: A case study , 2020, Int. J. Inf. Manag..

[24]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994 .

[25]  P. Watzlawick,et al.  Change. Principles of Problem Formation and Problem Resolution. New York (Norton) 1974. , 1974 .