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How to Analyze and Enhance Participation in Electronic Networks of Practice Cover

How to Analyze and Enhance Participation in Electronic Networks of Practice

Open Access
|Aug 2024

Figures & Tables

Figure 1.

An outside view of conversations
An outside view of conversations

Figure 2.

An inside view of conversations
An inside view of conversations

Figure 3.

Social network elements in a conversation
Social network elements in a conversation

Figure 4.

Data analysis methodology for participation in ENoPs
Data analysis methodology for participation in ENoPs

Figure 5.

Network assessment process
Network assessment process

Figure 6.

Process of network data processing
Process of network data processing

Figure 7.

A sample structure of message-based conversations
A sample structure of message-based conversations

Figure 8.

Network data analysis process
Network data analysis process

Figure 9.

A screenshot from the BCMG network
A screenshot from the BCMG network

Figure 10.

The trend of participation for 25% of the most active participants
The trend of participation for 25% of the most active participants

Figure 11.

Data analytical processes applied to the case
Data analytical processes applied to the case

Figure 12.

Davies–Bouldin index (DBI) for k clusters
Davies–Bouldin index (DBI) for k clusters

Figure 13.

The network structure of the BCMG sample
The network structure of the BCMG sample

Figure 14.

Heatmap of Pearson correlation analysis result
Heatmap of Pearson correlation analysis result

Figure 15.

Radar chart of clusters’ characteristics
Radar chart of clusters’ characteristics

Figure 16.

3D scatter plots of six measures of participation
3D scatter plots of six measures of participation

Figure 17.

Heatmap of cluster characteristics
Heatmap of cluster characteristics

Figure 18.

Conversation clusters characteristics
Conversation clusters characteristics

Characteristics of the five clusters (Source: Authors’ own research)

Cluster# Messages# ParticipantsDegreeDuration (days)Messaging time interval (days)Message length (characters)
1104.67.9121.8106
230.510.114.91.40.06190.8
316.85.622.50.60.04113.6
43.62.116.60.80.4226.1
55.62.46.50.30.07119.4

Proposed conversation measures (Source: Authors’ own research)

MeasureDescription
Initiator fieldProfessional field of the initiator
Initiator city---
Initiator country---
Holiday?If the start date of the conversation is a weekend/holiday or not
Date and time of the last message of the conversationData and time of the last message in a conversation
The time interval from the previous conversationThe difference between the start dates/times of one conversation and the previous one
The time interval from the next conversationThe difference between the start dates/times of one conversation and the next

Conversation Categories (Source: Own elaboration)

Conversation CategoryLabelMessaging pattern and structure
MonologueDead conversations
DialogueQuiet conversations
PolylogueMedium conversations
DiscussionCrowded conversations

Participation measures (Source: Authors’ own research)

MeasureDescriptionModified from
No. of messagesThe number of messages in a conversationGuan, et al., 2018
No. of participantsThe number of users (specialists) who participate in a conversationde Laat, 2002
Average message lengthThe average number of characters in a message per conversationHafeez, et al., 2019
Messaging average time intervalThe average time interval between messages per conversationAnderson, et al., 2012
Duration of a conversationThe time difference between the first and last message of a conversationHafeez, et al., 2019

Border signs identified in the BCMG (Source: Authors’ own research)

Conversation Border signsSample
Initiation words“Hi colleagues,” “Dear colleagues,” “Please look at the files,” “Good day,” “Please consider my patient case,” “A patient…”
FilesPhotos containing MRI and CT scans or files with laboratory and pathology reports
ContentMessages referring to treatment, diagnosis, or screening
Messages’ connectionsReplies and references to the previous messages of the conversation
Closure words“Like,” “thank you,” emoji

Social network analysis results for 25% of the most active participants (Source: Authors’ own research)

ParticipantDegreeClosenessBetweennessSizeIndegreeOutdegreeEigenvectorReachReach-efficiencyMICMAC
1630.640.423563630.120.820.020.66
2250.530.151925250.070.760.040.95
3180.470.021118180.060.720.070.86
4150.480.031115150.050.770.070.89
580.410.006880.040.560.090.77
610.310.002110.000.190.090.92
7210.520.051921210.050.700.040.82
8170.440.051417170.030.420.030.86
9170.490.091517170.030.680.050.84
10160.470.051316160.040.650.050.89
11240.530.151924240.060.750.040.79
1290.450.019990.020.670.070.86
1360.420.047660.010.530.080.97
1430.360.004330.010.350.090.67
1550.420.036550.010.610.100.75
1670.440.007770.020.670.100.72
1760.390.027660.010.430.060.82
1880.410.046880.030.530.090.72

Conversation possible border signs (Source: Authors’ own research)

Conversation Border signsExplanationSample
Initiation wordsWords with which a conversation begins“Hello,” “Dear,” “Please look at the files,” “Good day”
FilesThe inclusion of files can indicate a new topic---
ContentChanging the topic---
Messages’ connections

Replies and references to previous messages in another conversation

(It shows this message is a part of the other conversation and in the border of that conversation.)

The connection between the first message of participant III and the second message of participant V in Figure 7.
Closure wordsAcknowledgment and feedback“like,” “thank you,” emoji

Conversation measures (Source: Authors’ own research)

MeasureDescriptionModified from
Initiator rank in order of previous experience/participationThe initiator’s rank with respect to others based on the total number of messages posted in a networkWasko and Faraj, 2005
Initiator roleThe initiator’s role in a network, i.e., admin or memberHafeez, et al., 2019
Initiator total no. of messagesThe total number of messages the initiator has sentPudipeddi, Akoglu and Tong, 2014
Initiator total no. of conversationsThe total number of conversations in which the initiator has been involved
Initiator gender---Dror, et al., 2012
Time from the first message in the networkThe time interval between an initiator’s first message in a network and the lastHafeez, et al., 2019
Date and time of the first message of the conversationDate and time of the initiator’s first message in a conversationDror, et al., 2012
TopicThe topic of conversationHafeez, et al., 2019
Question or statement?Indicates whether the first message in a conversation is stated as a question or notCampbell and Mayer, 2009
Question wordIndicates the type of question posted in the first message in a conversationZaib, et al., 2021
Completeness and clearanceThe extent to which the information provided by the initiator to explain the question is clear and complete (based on text, references, attachments, and/or pictures)Arguello, et al., 2006
Formal or informalThe formality of the first message of a conversationJoyce and Kraut, 2006
Calling-outIndicates whether the initiator specifically invites or names individuals to participate in a conversationWilen, 1991
Acknowledgment and feedbackIndicates acknowledgments and feedback in conversation messages, e.g., “like,” “thank you,” emojiBornfeld and Rafaeli, 2019
DOI: https://doi.org/10.2478/fman-2024-0007 | Journal eISSN: 2300-5661 | Journal ISSN: 2080-7279
Language: English
Page range: 103 - 126
Published on: Aug 2, 2024
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Fatemeh Charkhsaz, Mohammad Taghi Isaai, Malihe Dayani, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.