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Dear colleagues,

I am very happy to share our new Call for Papers for a Special Issue
of the *International
Journal of Information Management* on "*Combining Social Network Analysis
and Text Mining: from Theory to Practice".*

Please find all the details attached and at this link:

*Manuscript submission deadline: 31-Dec-2018*

For any question feel free to contact us:

Andrea Fronzetti Colladon - [log in to unmask]
Peter Gloor - [log in to unmask]
Stella Iezzi - [log in to unmask]


(Special Section @IJIM) Theme: Combining Social Network Analysis and Text
Mining: from Theory to Practice

This special issue solicits papers presenting innovative research at the
nexus of text mining and social network analysis. Topics of interest
include (but are not limited to) the following:

- Content and discourse analysis

- Text mining and natural language processing

- Statistical analysis of textual data

- Study of co-occurrence networks of words

- The impact of language use on social networks

- Big Data analytics of large text corpora

- Extraction of socio-semantic networks from natural language text data

The above-mentioned topics should always be combined with the study of
social networks: intended either as networks of people, groups and
organizations, or as network of words, concepts and topics. Work at the
intersection of these fields lags behind in theoretical, empirical, and
methodological foundations.

The papers published in this issue will present either new methodologies or
useful applications in business. They will extend prior research which
already demonstrated the advantages of combining social network and
semantic analysis for business intelligence (e.g., Aswani, Kar, Ilavarasan,
& Dwivedi, 2018; Fronzetti Colladon & Gloor, 2018; Fronzetti Colladon &
Vagaggini, 2017; Gloor, Fronzetti Colladon, Grippa, & Giacomelli, 2017).
For example, actions to support successful interactions with clients or to
improve employee communication come from a better understanding of the
impact that language use has within and across organizations (Diesner,
Frantz, & Carley, 2005; Fronzetti Colladon, Saint-Charles, & Mongeau, 2018;
Gloor, Fronzetti Colladon, Giacomelli, Saran, & Grippa, 2017). The study of
networks of words, on the other hand, supports brand management in the era
of big data (Fronzetti Colladon, 2018). Analogously, text mining helps
brand managers identify (virtual) consumer tribes (Gloor, Fronzetti
Colladon, de Oliveira, & Rovelli, 2018) and develop customized marketing
strategies (He, Zha, & Li, 2013).

Additionally, a limited number of papers reviewing the state of the art in
semantic social network analysis will be considered, if they discuss
business applications. Papers about methodological issues and different
approaches arising when extracting networks from textual data (Diesner,
2013), or when combining social networks with discourse and semantic
analysis (Gloor, 2017; Saint-Charles & Mongeau, 2018), are also invited.


*Important Dates*

*Manuscript submission deadline: 31-Dec-2018*

*Notification of Review: 30-Mar-2019 Revision due: 31-May-2019 Notification
of 2nd Review: 1-July-2019 2nd Revision [if needed] due: 1-Sep-2019
Notification of Final Acceptance: 30-Sep-2019 Expected Publication: TBA*


*Submission Guidelines*

All submissions have to be prepared according to the Guide for Authors as
published in the Journal website at:

Authors should select *“SI: SNA & Text Mining*”, from the “Choose Article
Type” pull- down menu during the submission process. All contributions must
not have been previously published or be under consideration for
publication elsewhere. Link for submission of manuscript is

A submission based on one or more papers that appeared elsewhere has to
comprise major value-added extensions over what appeared previously (at
least 50% new material). Authors are requested to attach to the submitted
paper their relevant, previously published articles and a summary document
explaining the enhancements made in the journal version.

All submitted papers will undergo a rigorous peer-review process that will
consider programmatic relevance, scientific quality, significance,
originality, style and clarity.

The acceptance process will focus on papers that address original
contributions in the form of theoretical, empirical and case research,
which lead to new perspectives on Combining Social Network Analysis and
Text Mining. Papers must be grounded on the body of scholarly works in this
area (exemplified by some of the references below) but yet discover new
frontiers so that collectively, the Special Section will serve communities
of researchers and practitioners as an archival repository of the state of
the art in Text Mining combined with Social Network Analysis.

*Guest Editors*

Andrea Fronzetti Colladon

University of Rome Tor Vergata

Rome, Italy

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Peter Gloor

Center for Collective Intelligence

Massachusetts Institute of Technology

Cambridge, MA, United States

[log in to unmask]

Domenica Fioredistella Iezzi

University of Rome Tor Vergata

Rome, Italy

[log in to unmask]


Aswani, R., Kar, A. K., Ilavarasan, P. V., & Dwivedi, Y. K. (2018). Search
engine marketing is not all gold: Insights from Twitter and SEOClerks.
Journal of Information Management*,* 38*(1), 107–116.

Diesner, J. (2013). From Texts to Networks: Detecting and Managing the
Impact of Methodological Choices for Extracting Network Data from Text
Data. *KI - Künstliche Intelligenz*, *27*(1), 75–78.

Diesner, J., Frantz, T. L., & Carley, K. M. (2005). Communication networks
from the Enron email corpus “It’s always about the people. Enron is no
different.” *Computational and Mathematical Organization Theory*, *11*(3),

Fronzetti Colladon, A. (2018). The Semantic Brand Score. *Journal of
Business Research*, *88*, 150–160.

Fronzetti Colladon, A., & Gloor, P. A. (2018). Measuring the impact of
spammers on e-mail and Twitter networks. *International Journal of
Information Management*, in press.

Fronzetti Colladon, A., Saint-Charles, J., & Mongeau, P. (2018). The impact
of language homophily and similarity of social position on employees’
digital communication. In D. F. Iezzi, L. Celardo, & M. Misuraca (Eds.), *JADT’
18. Proceedings of the 14th International Conference on Statistical
Analysis of Textual Data* (pp. 293–297). Rome, Italy: Universitalia.

Fronzetti Colladon, A., & Vagaggini, F. (2017). Robustness and stability of
enterprise intranet social networks: The impact of moderators. *Information
Processing & Management*,* 53*(6), 1287–1298.

Gloor, P. A. (2017). *Sociometrics and Human Relationships: Analyzing
Social Networks to Manage Brands, Predict Trends, and Improve
Organizational Performance*. London, UK: Emerald Publishing Limited.

Gloor, P. A., Fronzetti Colladon, A., de Oliveira, J. M., & Rovelli, P.
(2018). Identifying Tribes on Twitter through Shared Context. In *8th
International Conference on Collaborative Innovation Networks COINs 18*,
forthcoming. Suzhou, China.

Gloor, P. A., Fronzetti Colladon, A., Giacomelli, G., Saran, T., & Grippa,
F. (2017). The Impact of Virtual Mirroring on Customer Satisfaction. *Journal
of Business Research*, *75*, 67–76.

Gloor, P. A., Fronzetti Colladon, A., Grippa, F., & Giacomelli, G. (2017).
Forecasting managerial turnover through e-mail based social network
analysis. *Computers in Human Behavior*, *71*, 343–352.

He, W., Zha, S., & Li, L. (2013). Social media competitive analysis and
text mining: A case study in the pizza industry. *International Journal of
Information Management, 33*(3), 464–472.

Saint-Charles, J., & Mongeau, P. (2018). Social influence and discourse
similarity networks in workgroups. *Social Networks*, *52*, 228–237.

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