International Conference on Computational Social Science and Network Modeling

ICCSSNM

5th Jan – 6th Jan 2027 Alberta, Canada

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

Select Registration Mode

Standard / Physical Participation USD

Join us on-site for keynotes, talks, workshops, networking, conference kit and certificate.

Virtual Participation USD

Participate online via live streaming. Includes live access to all sessions, digital materials and certificate.

Participant Details

Full Name *

Email Address *

Mobile Number with Country Code *

City *

State *

Country *

Zip / Postal Code *

Address *

Coupon Code

Terms & Condition

I agree to the Terms & Conditions and Refund & Cancellation Policy.

Read the full Terms & Conditions

Registration Summary

Conference ICCSSNM

Date 5th Jan – 6th Jan 2027

Location Alberta, Canada

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

100% Secure Payment

Your payment information is encrypted and processed securely.

Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in Computational Social Science +

This track focuses on the latest methodologies and frameworks in computational social science. It aims to explore the intersection of social phenomena and computational techniques, emphasizing innovative research outcomes.

SDG 4 SDG 9 SDG 16

02 Network Modeling and Analysis +

This session will delve into the theoretical and practical aspects of network modeling. Participants are encouraged to present their findings on network structures, dynamics, and implications for social systems.

SDG 9 SDG 11 SDG 17

03 Machine Learning Applications in Social Networks +

This track highlights the application of machine learning techniques to analyze and interpret social network data. Contributions should focus on novel algorithms and their effectiveness in real-world scenarios.

SDG 9 SDG 11 SDG 16

04 Big Data and Social Analytics +

This session addresses the challenges and opportunities presented by big data in understanding social behaviors. Papers should discuss data-driven insights and the methodologies employed to extract meaningful patterns.

SDG 8 SDG 9 SDG 12

05 Simulation Techniques in Social Science Research +

This track invites discussions on simulation methodologies used to model complex social systems. Contributions should demonstrate how simulation can enhance our understanding of social dynamics and interactions.

SDG 4 SDG 9 SDG 16

06 Digital Humanities and Computational Methods +

This session explores the integration of computational techniques within the digital humanities. Papers should focus on how quantitative methods can enrich traditional humanities research.

SDG 4 SDG 10 SDG 16

07 Algorithms for Social Network Analysis +

This track emphasizes the development and application of algorithms tailored for social network analysis. Participants are encouraged to share innovative approaches that enhance our understanding of social connectivity.

SDG 9 SDG 11 SDG 16

08 Predictive Analytics in Social Science +

This session focuses on the use of predictive analytics to forecast social trends and behaviors. Contributions should highlight methodologies and case studies demonstrating the impact of predictive modeling.

SDG 8 SDG 9 SDG 12

09 Quantitative Methods in Social Research +

This track aims to showcase the application of quantitative methods in various social science domains. Papers should discuss statistical techniques and their relevance in empirical research.

SDG 4 SDG 9 SDG 16

10 Optimization Techniques in Data Science +

This session explores optimization methods and their applications within data science frameworks. Contributions should focus on enhancing computational efficiency and effectiveness in data-driven decision-making.

SDG 9 SDG 12 SDG 17

11 Complex Systems and Social Dynamics +

This track investigates the principles of complex systems theory as applied to social dynamics. Papers should explore how these principles can inform our understanding of societal interactions and structures.

SDG 9 SDG 11 SDG 16