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Dear Socneters,

we would like to draw your attention to our call for abstracts for a the

*“Words speaking in networks of connecting worlds " *

at the *5th European Conference on Social Networks *(*EUSN)*,

September 7-10, 2021 in Naples (Italy) (hybrid in-person and remote

*Deadline: May 23, 2021*

*Session organizers*:

- Giuseppe Giordano, University of Salerno (Italy)

- Michelangelo Misuraca, University of Calabria (Italy)

*Description: *

Many times, scholars with a very different scientific background share a
common analytic language to investigate phenomena in a quantitative manner,
but at the same time different disciplines use different terminologies.
What happens is that powerful tools developed in a certain domain stand
within a limited circle of users, or worse, different groups find quite
similar solutions to a problem without sharing their experiences outside
their community. In Text Mining as well as in scientific domains that
exploit textual data to research purposes, network analytics are more and
more used with the aim of revealing interesting patterns and motifs. One of
the keys of this trend is the sharing of common data structures. Data
structures commonly used in text analysis and mining can be easily
associated with those used in network analysis, so allowing their
representation as graphs. From this viewpoint, different tasks can be
accomplished in a more effective way. For instance, starting from a
terms-by-terms adjacency/contingency matrix, it is possible to extract
significant topics or concepts. Such an approach is used in Bibliometrics
to map the knowledge-base of a discipline by analyzing the reference
literature, but it is also used in Natural Language Processing to explore
the syntactic and semantic structure of textual datasets. A similar
approach can be performed on a documents-by-documents matrix aiming at
grouping documents with similar contents, for instance, by using a
community detection approach or other graph-based clustering algorithms. In
any cases, looking at terms or looking at documents, several proposals have
been presented and discussed in the years, focusing both on the
organization of the data (looking at the different ways to weight nodes and
edges, as well as taking into account multiple relations) and on the
effective analytical steps (developing algorithms able to reduce the
complexity of a network, to decompose it in sub-structures, to study its
evolution on a given time horizon, and so on).

The session aims at fostering a dialogue among scholars of different
domains interested in the analysis of textual data within a network-based
approach. We would like to guest interesting applicative studies as well as
innovative methodological proposals, leveraging the experiences gained in
different research fields.

*Submission Details:*

Please submit your abstract (not exceeding 500 words) for an oral

*Deadline: May 23, 2021*

*Submission link:* 

When submitting your abstract, select the Organized Session title from the
list of session titles.

In case you have any questions do not hesitate to contact the session

We look forward to your submissions!

Giuseppe Giordano (email <[log in to unmask]>) &
Michelangelo Misuraca (email <[log in to unmask]>)

*Giuseppe Giordano*
Associate Professor of Statistics
Dept. of Political and Social Studies
University of Salerno, Italy
Academic web site < >

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