Academic Research-Oriented Social Community and Survey Integration System

Abstract

This invention encompasses the first integrated community-survey-analysis platform developed for academia, designed to support academic research processes in the field of information technology. The invention combines the creation of research surveys within a closed academic community of university students, academics, and researchers; automatic activation and sharing to social feeds in a single process; privacy-exempt research dissemination; multi-channel response and sharing metric collection; survey-embedded temporary stories; an academic demographic profiling system; Turkish keyword-based automated academic analysis configuration; a post-PCA theoretical factor alignment algorithm; and a calculate-then-lock analysis delivery model, all within a single digital architecture. In the current system, survey platforms (SurveyMonkey, Google Forms) and social networking platforms (LinkedIn, ResearchGate, Instagram) operate independently; researchers must activate and manually share surveys in separate steps.

Description

35 40 TARIFF ACADEMIC RESEARCH-FOCUSED SOCIAL COMMUNITY AND SURVEY INTEGRATION SYSTEM Technical Area This invention has implications for the field of information technology, particularly for academic research and social networking. It relates to the integration of systems. The invention is for university students, academics, Within a closed academic community consisting of researchers and survey participants, research creating, distributing, collecting responses to, and disseminating surveys through social interaction, and an integrated digital platform system that enables statistical analysis to be performed It is related. State of the Art In the current system, survey platforms and social networking platforms operate independently of each other. After a researcher prepares a survey, they generate a link (URL) and share this link via email or message. or they share it manually through a separate social network. The shortcomings of this approach are as follows: (a) Survey activation and social distribution are separate steps; the researcher first activates the survey. should do that, then share it on a separate channel. (b) Surveys shared on social networks are subject to the poster's privacy preferences; private profiles Researchers' surveys are not visible across the entire community. (c) Survey response numbers and social media share numbers are kept in different systems; the researcher is single. You cannot see total reach and engagement metrics on the screen. (d) Academic demographic information (profession, education level, province / district) is related to the quality of survey participation. They are not related. (e) Statistical analysis is performed either entirely in external software or on the server side; survey The logic of visibility is not reflected in the analysis. (f) Survey embedding in ephemeral story format and resolution independent Draggable text / link embedding is not available on current academic platforms. Purpose of the Invention The aim of this invention is to create an integrated system designed to support the academic research process. The goal is to provide a community analysis and survey platform. The invention includes creating surveys and sharing them within the community. Automatic activation, privacy-exempt research dissemination, multi-channel metric collection, academic Profile enrichment, client-based academic statistics engine, and post-payment results delivery. It combines its functions into a single coherent system. Explanation of the Figures Figure 1: Block diagram of the system's overall architecture. 1 35 40 Figure 2: Survey sharing and atomic activation workflow. Figure 3: Privacy-exempt stream filter algorithm. Figure 4: Multichannel survey metric collection structure. Figure 5: Survey embedded provisional story structure. Figure 6: Academic demographic profile model. Figure 7: Client-based academic analysis engine. Figure 8: Theoretical factor alignment algorithm. Explanation of References in Figures 1: User interface unit 2: Social community control unit 3: Survey Asset Service Unit 4: Analysis service unit 5: Relational database 6: Client-based analysis engine 10: Sharing request step 11: Ownership verification step 12: Database transaction initiation step 13: Survey activation step 14: Step in creating a social post 15: Commit and return step 20: Incoming message 21: Survey type monitoring unit 22: How to show to all members 23: Standard privacy control path 24: Friendship or public profile control 30: Survey post (survey ID) 31: Authenticated response table 32: Publicly accessible response table 33: Social posting and story boards 34: Combined response and share counter 40: Temporary history record 41: Survey ID embedding area 2 35 40 42: Percentage-based text positioning 43: Percentage-based link location 50: Career choice unit 51: Student vocational supervision 52: Education level compulsory unit 53: Training level cleaning unit 54: Geographic and date of birth fields 55: Profile completion score unit 60: Survey response entry unit 61: Visibility logic unit 62: Reliability and factor analysis unit 63: Parametric test unit 64: Regression and clustering unit 65: Turkish Keyword Detection Unit 70: Factor loading matrix 71: Theoretical dimension definitions 72: Average load calculation unit 73: Greedy assignment unit 74: Aligned factor matrix Description of the Invention The invention encompasses a server-side API layer, a client-side web / mobile interface, and a relational database. It is an integrated system consisting of a schema. The system uses a three-tier architecture: (i) server API, (ii) client single-page application, (iii) relational database. Database in the development environment. When unavailable, in-memory backup storage is activated using the same API protocol. The overall system architecture is shown in Figure 1. User interface unit (1); social community The control unit (2) communicates with the survey asset service unit (3) and the analysis service unit (4). Service units connect to the relational database (5). Client-based analysis engine (6) responds It processes the data on the client side. Community module; profile, feed, stories, friendships, messaging, notifications, content complaints and includes moderation subsystems. The atomic survey sharing-activation process is shown in Figure 2. A researcher submits a survey. When shared to the community feed, a share request (10) is generated; ownership is verified (11); database the process is started (12); the survey status is activated (13); social post registration in survey type is created (14); the process is completed and the enriched post is returned (15). Thus, the existing 3 35 40 Activation and sharing, which require two separate steps in the technology, are combined into a single atomic process. Privacy exception flow filter is shown in Figure 3. Incoming post (20) survey type control It enters the unit (21). The survey type is applied by showing it to all members (22); otherwise, it is standard. Privacy control method (23) and friendship or open profile control (24) are applied. Thus private While a profiled researcher's survey is visible to the entire community, their personal posts are only visible to the public. It is open to his friends. Multichannel metric collection is shown in Figure 4. Authenticated for survey submission (30) Response count via response table (31) and public response table (32); social post and The number of shares is calculated via storyboards (33) and the combined counter (34) is given to the user It is shown. The survey embedded temporary story is shown in Figure 5. The temporary story record includes the survey ID (40). (41) embedable; draggable text (42) and link (43) positions percentage-based coordinates It is stored using the system and plotted independently of resolution. Story recording is for a limited time (e.g., 24 (hours) are recorded. The academic demographic profile is shown in Figure 6. Students after the career choice unit (50). Professional supervision (51) is carried out; if the professional is a student, the level of education is made compulsory (52), otherwise is cleaned (53). Geographic and date of birth fields (54) are kept; profile completion score (55) survey It is shown to the user in order to increase participation. Profile visibility includes phone number, date of birth, and District information is masked except for the owner and administrator. The client-based academic analysis engine is shown in Figure 7. Survey response input unit (60) Transfers the data to the visibility logic unit (61). Reliability and factor analysis (62), parametric Tests (63), regression and clustering (64) units run on the client side. Turkish key Word detection unit (65) detects demographic and scale expressions in question texts. It suggests configuring automated analysis. Theoretical factor alignment is shown in Figure 8. Factors obtained after multiple factor analysis. The loading matrix (70) is compared with the theoretical dimension definitions (71) defined by the researcher; average loading is calculated (72); factor matrix aligned with greedy assignment (73) (74) is generated. In calculate-then-lock analytics delivery, results are generated on the client side and stored on the server; payment is made. The results are not shown to the member until completion; they will be revealed after payment and administrator approval. A waiting period applies to account deletion requests; during this time, the user is hidden from the feed. Eventually, social graph data is permanently deleted. How the invention can be applied to industry. The invention utilizes existing web technologies (server-side application framework, client single-page application, It is suitable for implementation with relational databases (REST APIs). Academic community, surveys and analysis. The modules can run together on the same architecture. The system is for university students, A platform where academics and researchers create memberships, prepare surveys, and share information in a single process. and a service that it activates, collects responses, and generates statistical analysis on the client side. It can be applied to industry. 4

Claims

35 40 REQUESTS 1. It is an academic research-focused social community and survey integration system, specifically (a) (b) survey creation and response collection module; (b) social community module (profile, feed, story, (a) friendship, messaging); (c) server-side API layer; (d) relational database; including and A system with the following features: the moment a researcher shares a survey into the community feed, Both activating the survey status and performing a full database transaction. Creating a social post record of the survey type; survey type in the community feed Posts are visible to all members, even if the poster's account privacy preference is set to private. each survey the number of responses to the post (from authenticated and public response tables) number of shares (referencing the same poll ID in social post and temporary story tables) It is characterized by being calculated and displayed to the user as a combination of (from the records provided). the system that was used.

2. A computer that enables the distribution of academic research surveys within a social community. This is a feasible method and involves the following steps: the researcher is logged in as a user. This includes verifying survey ownership; initiating the database transaction; and conducting the survey. The survey status is actively updated in the table; the survey is added to the social posts table. Adding records with identity and description text; completing the process and enriching Returning post information; privacy filter for poll-type posts in the community feed. A method characterized by exemption.

3. According to Claim 1, the system also includes temporary story records for a limited time, and the survey ID. Embedding, draggable text on the story, and percentage-based link locations. Characterized by being stored using a coordinate system and plotted independently of resolution. system.

4. According to Claim 1, the system includes academic demographic information in the user profile. (Occupation, education level, province, district, date of birth) should be recorded; the education level field should only be used for the profession. Making it mandatory when students are selected and using the profile completion score to increase survey participation. A system characterized by its purpose of being displayed to the user.

5. According to Claim 1, the system, and also the client-side academic analysis engine, Multiple statistical modules can be used to apply survey visibility logic to survey responses. (reliability, factor analysis, parametric and non-parametric tests, regression, clustering) It automatically analyzes and identifies Turkish keywords in the survey question texts. A system characterized by its proposed analysis configuration.

6. This method is according to Claim 2, and also includes factor loadings obtained after multiple factor analysis. assigning greedy to the matrix's theoretical dimension ranges defined by the researcher. a method that includes the alignment step using an algorithm.

7. The system is based on Claim 1, and the academic analysis results are also on the client side. The amount is calculated and stored on the server, and is not shown to the member until the payment is completed. A system characterized by delivery by the manager after payment. 35 40 8. The system is as per claim 1, and the same API is used when a relational database is not available. characterized by the automatic activation of in-memory backup storage mode by agreement. the system that was used.

9. According to Request 1, the system applies a waiting period for account deletion requests. The user is hidden from the community feed for a period of time, and at the end of this period, all social graph data is retrieved. A system characterized by the permanent deletion of (posts, messages, friendships, notifications).

10. The method is according to Claim 2, and also the stories are displayed to the user in the temporary story viewer. grouping based on the timeline of the most recent stories, previously unseen story groups. A method that includes prioritization and pushing identified groups to the end. 6

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