Functionalities and Flow Analyses of Knowledge Oriented Web Portals. Analysis of Social Network flows and user stimulations

Functionalities and Flow Analyses of
Knowledge Oriented Web Portals
Daniele Cenni, Paolo Nesi, Michela Paolucci
DISIT‐DSI, Distributed Systems and Internet Technology Lab
Dipartimento di Sistemi e Informatica, Università degli Studi di Firenze, Firenze, Italy

SPEAKER
Michela Paolucci

The 18th International Conference on Distributed
DMS 2012 Multimedia Systems, August 9 ‐ August 11

Introduction and objectives
DMS 2012, August 9‐11
 The concept of knowledge starts from the
individual, from his critical analysis and on how one
interacts with people and objects around him
 The ICTs, that play the most relevant role in this
area of interest, are the Social Networks (SNs) and
the Best Practice Networks (BPNs)
 Our aim is to study a new model to make a
comparison among the most diffused SNs and the
BPNs, that we are developing
 The model takes into account both the
functionalities available on the portals and the
treatment of the knowledge

Knowledge Management
& SECI Model
Tacit
 Nonaka & Takeuchi Model, based on: Knowledge
 2 types of knowledge: Socialization Explicit
Externalization
Knowled
 Explicit: is a formal, systematic language ge
that can be expressed and shared in the
form of data, in manuals, …
Explicit
 Tacit: is in the human mind, is personal Tacit
Knowledge Knowledge
and hard to formalize
 4 modes of knowledge conversion:
 Socialization (from tacit to tacit)
Internalization Combination
 Externalisation (from tacit to explicit)
Explicit
 Combination (from explicit to explicit) Knowledge
 Internalization (from explicit to tacit)
 the spiral process:
 the knowledge is transformed through
exchanges among individuals and groups
across the four modes of knowledge
conversion and does not stop but continues
into a new knowledge‐creating spiral

Functionalities & Flows of Knowledge
in a Social Platform

 A Flow of knowledge is composed
of a set of actions made by the
users on the platform or by the
platform itself
 Each action (flow) starts and ends
in one of the four SECI model
modes of knowledge conversion
 Analyzing the Social Portal
functionalities and the actions’
users:
 4 different types of flows can be
identified
 Studying these flows, it possible to
establish when the Social Platforms
play an important role to produce
new knowledge


 (1) Direct flow:
 actions carried out by users
and addressed to other
users of the platform, with a
little work (in terms of
knowledge‐reprocessing
transformation) made by
the platform itself:
 make a comment on a
content
 add a new friend
 send a personal message

 In this case the Portal itself
does NOT generates new
knowledge

 (2) Mediated flow:
 2a) actions in which the users
put their knowledge on the
Platform:
 upload a content
 fill the user profile
 rank a content
 2b) the platform make analysis
and elaborations of the user's
actions
 2c) production of stimuli for
the end users:
 recommendations
 suggestions
generates new knowledge


 3) Locked flow:
 users put their knowledge in
the platform or make actions
on it
 AND the platform does not
register the information
given, with a consequent
LOSS of information

does NOT generates new
knowledge


 4) Platform flow:
 Actions automatically
offered by the platform to
the users. Functionalities
that do not depend on the
user's actions or on the
knowledge that they have
put in the platform. Such as
give the possibility to:
 upload content
 make queries on content
 search new friends

generates new knowledge

Analyzing functionalities and flow of
knowledge

 Action: Write a public web page
Knowledge flow type: Direct flow (1)
 Start: the user starts from its own knowledge (tacit), uses
editing tools and creates a web page on the platform (explicit).
So the passage of knowledge is from tacit to explicit: T→E
 Result: this is the result of the user action. The user has
produced a Web page, visible to all the users of the platform
(explicit); the users can read it and get information (tacit):
E→T
Functionalities and flows of knowledge
Start flow End
Kind of Action Type Result of the Kind of
user action user
Write a Public Platform TE (1) ET All users
Web Page EXTERNALIZATION INTERNALIZATION

knowledge

 Action: Suggestions to registered users
Knowledge flow type: Mediated flow (2)
 Start: the platform produces and offers to the user a list of
recommendations (explicit), taking into account the previous user
actions or his preferences expressed on the User Profile and the
user sees them. In this case the knowledge flow is from explicit to
explicit: E→E
 Result: the user reads the recommendations (explicit), acquires and
reworks the informa on provided by the pla orm (tacit): E→T
Start flow End
Kind of user Action type Result of the Kind of user
action
Suggestions Platform EE (2b, 2c) ET All users
to users COMBINATION INTERNALIZATION

knowledge

Start flow End
Kind of user Action type Result of the Kind of user
action
Write a Public Platform TE (1) ET All users
Web Page
Suggestions to users Platform EE (2) ET All users
Content view Platform EE (4) ET All users
Content download Individual TE (1) ET All users
Portal Registration Individual TE (2) EE All users
User Friendship Individual TE (2) ET Individual (friend)
Searching Individual TE (2) ET Individual
Content Ranking Individual TE (1) ET All

Comparison among the BPNs and the
Social Networks on Functionalities

 Social Networks (SNs) Functionalities Our Best
YouTube Facebook Practice
 Oriented to content For Public (PU) & Registered
Users (RU) Network
 YouTube: mainly service Content &
download
Audio
Video
-
high (PU)
-
low (RU)
high (PU&RU)
high (PU&RU)
for Public Users (PU) and view Images - High (RU) high (PU&RU)
to access the content Documents - Medium (RU) high (PU&RU)

 Oriented to users Portal Registration
Cross Media -
low (PU)
-
high (PU)
high (PU&RU)
high (PU)
 Facebook: mainly social User Friendship low (RU) high (RU) high/medium (RU)
services for Registered Suggestions Same for all high low (RU) high (PU&RU)
Users (RU) to users
Different for
(PU&RU)
medium (RU) medium/high (RU) high (RU)
each user
 Best Practice Networks Searching Content high
(PU&RU)
- high (PU&RU)

(BPNs) User - high (RU) high (RU)
Content Ranking high medium (RU) medium (RU)
 Our Best Practice (PU&RU)

Network: services for
PU & RU both social and
oriented to content

Our Best Practice Network

 The analyzed BPN has been developed on the basis
of an infrastructure called XLMS (Cross Media
Learning Management System)
 Other BPNs has been deployed in various contexts
by using XLMS infrastructure
 The most relevant BPN from the point of view of
the knowledge management analysis is ECLAP
 The analysis has been conducted in the period:
September 1st – November 30th 2011:
 606 registered users, with 23544 digital items

ECLAP Portal
functionalities analysis
 ECLAP Portal is a BPN and www.eclap.eu
a content aggregator for
the ECLAP European Project, European Collected
Library of Artistic Performance
 The collected data are related to both content
present in the platform and the user behaviors
 ECLAP Portal resources are divided in:
 Cross Media contents:
 archive, audio, braille music, collection, crossmedia,
document, event, epub, excel, flash, html, image, pdf,
playlist, slide, smil, tool and video
 Drupal contents:
 blogs, forums, groups and pages

ECLAP Portal contents
 Drupal contents may be:
 retrieved, commented, voted, …
 Cross Media contents may be:
 retrieved, annotated,
recommended to other users,
added to a playlist or to a personal
collection, edited, downloaded,
marked as favorite or featured,
commented, tagged
and voted
 Also, each Cross Media or
Drupal content may be:
 linked and suggested to users
in other Social Networks, with
1‐click icons

ECLAP Portal

 Cross Media Playback  Cross media contents
and Download collected 7084 views and
 when a user plays a
multimedia content a 1080 downloads
right panel shows  Top accessed contents
related metadata in
various languages, include pages, pdfs, images
content taxonomical and videos
classification, IPR
information, and  Downloaded Cross Media
geolocation data contents include resources
 Cross media content that are not usually for
access is one of the leisure or entertainment, so
most exploited
functionalities on the that the typical downloader is
ECLAP portal a technical/professional user

ECLAP Portal

 Drupal Resources  The general blog is the main project
repository page (nearly 100 clicks per day)
View  During the sample period, the 28 groups
created since the start of the project
 registered users can
collected 9789 views (more than 100 per day)
create, edit, This was a very popular resource highly
exploited by users, and the top most
comment, and exploited resource, collecting about 46.27%
translate: pages, of all Drupal views (34.66% of total views)
groups, forum, blog,  After groups, pages were the top accessed
Drupal resources (more than 100 accesses
etc. with an online per day , 44.17% of Drupal content accesses,
rich text editor 33.09% of total views on the portal)
 The general ECLAP page collected 673
accesses (7.47 per day, about 1 access each
12 visits to the portal)
 Drupal resource had 74.91% of total views
performed on the portal

ECLAP Portal

 Content Ranking
 ECLAP contents can
be ranked by
registered users,
using a 5‐star based
scale
 Top ranked items are
collected into a
separate list, on the
right menu of the
portal
 Votes assigned to
contents can be
changed at any time

ECLAP Portal

 User Friendship  Friendships and connections
between users were established
 Each registered user
mostly by partners (92.26%)
can receive
connections and  Messages were exchanged
friendship requests mostly by partners too (66.67%)
from other users  These numbers suggest that the
registered social activities were
about technical tasks between
the project partners

 Portal Registration  In the considered period, there
were 396 user registrations, with
an average of one registration
each 20 visits on the portal

ECLAP Portal

 Suggestions  Featured content was the
 Content most exploited content list,
suggestions are with 343 clicks (about 30% of
available at access total content list accesses),
level or menu level: followed by Last Posted
 Featured
(23%) and Popular contents
 Last posted
(20%)
 More Popular
 Similar  Similar contents were
… accessed 2864 times
 Content lists collected 1140
clicks from users, about 0.14
clicks per visit and 12.67
clicks per day

ECLAP Portal

 Searching  Query services were one
 Search is divided in of the top exploited
simple and advanced functionalities in the portal
 Simple search allows  Most of the queries were of
full text search of simple type (about 99%),
ECLAP resources, performed from the main
eventually filtered by page, and a limited fraction
type were advanced queries
 65% of queries were
performed from Public Users

ECLAP Portal
 User Behavior  Public users typically started their
session by clicking on the ECLAP
 functionalities are menu in the top home page (24.73%),
addressed both to Public viewing a content (cross media
and to Registered Users 21.83%, Drupal 15.83%, group
14.77%), or performing a query
 social connections are (12.79%)
mainly oriented to  user actions are equally:
contact the ECLAP  finalized to manage content
Partners (total access: 12.656) and to
 the functionalities establish social connections on
provided are oriented to the portal (access: 20.522)
 distributed in terms of SECI
enable the Partners to
modes of knowledge conversions
do their work on the (with the exception of the
BPN, and not created to Socialization, that is mainly based
enhance leisure or for on relations among people in the
entertainment real world, and not through the
use of web platforms)

ECLAP Portal

 ECLAP Portal
www.eclap.eu.org
 The analysis has
been conducted
in the period:
September 1st –
November 30th
2011
 606 registered
users, with 23544
digital items

Conclusions & Future work
 We have collected and evaluated data related to our Best
Practice Network applied in a real context (ECLAP Portal)
 Future work is oriented to:
 increase the user behavior analysis in order to establish if a
functionality provided by the platform has really stimulated the
users:
 to produce new knowledge
 to establish new relationships, etc.
 establish metrics to evaluate what are the points of strength or
weakness of the platform, and how to give new stimuli to the
users:
 how to increase the data processing capabilities (Mediated and
Platform flows)
 How decrease the loss of information (Locked flow)
 make a comparison among our portal, eventually applied in other
contexts, and the most diffused Social Portals at data level and not
only basing on functionalities (through the data crawling, etc.)

Functionalities and Flow Analyses of
Knowledge Oriented Web Portals
Daniele Cenni, Paolo Nesi, Michela Paolucci
DISIT‐DSI, Distributed Systems and Internet Technology Lab
Dipartimento di Sistemi e Informatica, Università degli Studi di Firenze, Firenze, Italy
http://www.disit.dsi.unifi.it

cenni@dsi.unifi.it, paolo.nesi@unifi.it, paolucci@dsi.unifi.it

The 18th International Conference on Distributed
DMS 2012 Multimedia Systems, August 9 ‐ August 11

Functionalities and Flow Analyses of Knowledge Oriented Web Portals. Analysis of Social Network flows and user stimulations

More Related Content

Viewers also liked (14)

Similar to Functionalities and Flow Analyses of Knowledge Oriented Web Portals. Analysis of Social Network flows and user stimulations (20)

Recently uploaded (20)

Functionalities and Flow Analyses of Knowledge Oriented Web Portals. Analysis of Social Network flows and user stimulations