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Analyzed about 2 hours ago. based on code collected about 23 hours ago.
Oct 28, 2025 — Oct 28, 2026
Commit Message Contributor Files Modified Lines Added Lines Removed Code Location Date
Section 1645 updated
Srinivasan Kannan
More... 11 months ago
Section 1624 updated
Srinivasan Kannan
More... 11 months ago
Section 1630 updated
Srinivasan Kannan
More... 11 months ago
Section 1645 updated
Srinivasan Kannan
More... 11 months ago
Section 1645 updated
Srinivasan Kannan
More... 11 months ago
Updated Requirements.txt
Srinivasan Kannan
More... 11 months ago
+1645. (THEORY and FEATURE) Social Network Analysis - DeepDiff similarity of Social Media JSON Profiles - related to 14,365,626,711,727,753,876,1127,1128,1129,1130,1204,1263,1269,1427,1442,1452,1532,1534,1547,1555,1571,1592,1605 and all sections on People Analytics, Intrinsic Merit Versus Fame Equilibrium, BKS Conjecture, Stability and Noise Sensitivity of Interview LTF/PTF,Peres Theorem,Unique Identification,Talent Analytics,Code search of opensource repositories,HR Analytics and Automated Recruitment,Question-Answering,Majority Voting,Condorcet Jury Theorem Variants,Margulis-Ruzzo Thresholds,Novelty Detection,Recommender Systems,AI Question-Answering, Partial Ordered Ranking, Fame-Merit equilibrium, Intrinsic Merit as Query Complexity,Software Analytics-Mythical Manmonth-CathedralAndBazaar,Birthday Paradox,Matching in Matrimony-Professional-Personal Social Media Network Profiles,Tree matching - 8 December 2025
Srinivasan Kannan
More... 11 months ago
------------------------------------------------------------------------------------------------------------------------------------------- 1645. (THEORY and FEATURE) Social Network Analysis - DeepDiff similarity of Social Media JSON Profiles - related to 14,365,626,711,727,753,876,1127,1128,1129,1130,1204,1263,1269,1427,1442,1452,1532,1534,1547,1555,1571,1592,1605 and all sections on People Analytics, Intrinsic Merit Versus Fame Equilibrium, BKS Conjecture, Stability and Noise Sensitivity of Interview LTF/PTF,Peres Theorem,Unique Identification,Talent Analytics,Code search of opensource repositories,HR Analytics and Automated Recruitment,Question-Answering,Majority Voting,Condorcet Jury Theorem Variants,Margulis-Ruzzo Thresholds,Novelty Detection,Recommender Systems,AI Question-Answering, Partial Ordered Ranking, Fame-Merit equilibrium, Intrinsic Merit as Query Complexity,Software Analytics-Mythical Manmonth-CathedralAndBazaar,Birthday Paradox,Matching in Matrimony-Professional-Personal Social Media Network Profiles,Tree matching - 8 December 2025 ------------------------------------------------------------------------------------------------------------------------------------------- 1645.1 python-src/SocialNetworkAnalysis_PeopleAnalytics.py has been updated to import DeepDiff (https://zepworks.com/deepdiff/current/) python library that is widely used for diff operations over python JSON and dictionary objects 1645.2 Almost all of social media profiles, be it personal-matrimonial-professional, are ingested in JSON nested dictionary format per person. 1645.3 In social networks that require closest matching between 2 profiles (example:- Matrimonial:Bride-Groom, Professional:Candidate-Employer), DeepDiff of 2 JSON profiles might serve as similarity metric. JSON dictionaries have N-ary tree structure (every nested level in JSON object corresponds to a subtree) and this makes profile matching in social networks a N-ary tree matching problem that tries to find if a subtree pattern is common across 2 trees (or nested JSON dictionaries). 1645.4 New function profile_JSON_similarity() has been implemented that invokes DeepDiff() comparison function on 2 JSONs. DeepDistance between two JSON objects is also printed that could be used in ranking of social profiles by similarity. 1645.5 Two GitHub codesearch JSONs and two fictitious matrimonial profiles have been compared by DeepDiff. 1645.6 Logs testlogs/SocialNetworkAnalysis_PeopleAnalytics.log.8December2025 demonstrate JSON DeepDiff of 2 pairs of JSONs. For matrimonial profile match example following is the distance similarity computed by DeepDiff: Profile similarity: {'values_changed': {"root['Personal Data']['Age']": {'new_value': '45', 'old_value': '41'}, "root['Personal Data']['Occupation']": {'new_value': 'IT', 'old_value': 'Banking sector'}, "root['Personal Data']['Income']": {'new_value': '50 LPA', 'old_value': '30 LPA'}, "root['Personal Data']['Star']": {'new_value': 'Rohini', 'old_value': 'Ashwini'}, "root['Preferences']['Drinks']": {'new_value': 'No', 'old_value': 'Yes'}}, 'deep_distance': 0.14705882352941177} 1645.7 In the context of matrimonial profiles, based on DeepDiff results earlier, further qualitative analysis might be required on each of the differing tree node fields.
Srinivasan Kannan
More... 11 months ago
Section 1639 updated
Srinivasan Kannan
More... 11 months ago
ChatGPT Navier-Stokes equation Pressure Gradient analysis of Bay of Bengal for December 2025
Srinivasan Kannan
More... 11 months ago
Section 1579 updated
Srinivasan Kannan
More... 11 months ago
Section 1620 updated
Srinivasan Kannan
More... 11 months ago
Section 1639 updated
Srinivasan Kannan
More... 11 months ago
Section 1639 updated
Srinivasan Kannan
More... 11 months ago
Section 1639 updated
Srinivasan Kannan
More... 11 months ago
Section 1630 updated
Srinivasan Kannan
More... 11 months ago
Section 1629 updated
Srinivasan Kannan
More... 11 months ago
Section 1630 updated
Srinivasan Kannan
More... 11 months ago
Section 1630 updated
Srinivasan Kannan
More... 11 months ago
Section 1582 updated
Srinivasan Kannan
More... 11 months ago
Section 1630 updated
Srinivasan Kannan
More... 11 months ago
Section 1630 updated
Srinivasan Kannan
More... 11 months ago
Section 868 updated
Srinivasan Kannan
More... 11 months ago
1644. (THEORY and FEATURE) Time series analysis - Least Squares Curve Fit for timeseries - related to 690,691,692,1257,1315,1316,1327,1348,1367,1375,1376,1436,1437,1438,1489 and all sections on Computational Economics-Quantitative Finance and TimeSeries Analysis, Graphical Event Models (GEM), Causal Event Models (CEM), Chain Event Graphs(CEG), Chaos and Fractals, EventNet causality, Multifractal Detrended Fluctuation Analysis (MFDFA),Fame-Merit in the context of quantitative finance - 20 November 2025
Srinivasan Kannan
More... 11 months ago
------------------------------------------------------------------------------------------------------------------------------- 1644. (THEORY and FEATURE) Time series analysis - Least Squares Curve Fit for timeseries - related to 690,691,692,1257,1315,1316,1327,1348,1367,1375,1376,1436,1437,1438,1489 and all sections on Computational Economics-Quantitative Finance and TimeSeries Analysis, Graphical Event Models (GEM), Causal Event Models (CEM), Chain Event Graphs(CEG), Chaos and Fractals, EventNet causality, Multifractal Detrended Fluctuation Analysis (MFDFA),Fame-Merit in the context of quantitative finance - 20 November 2025 ------------------------------------------------------------------------------------------------------------------------------- 1644.1 python-src/Streaming_TimeSeriesData.py has been updated to import SciPy non-linear least squares curve_fit() function and matplotlib. 1644.2 Two functions least_squares_func() and timeseries_least_squares_model() have been defined to fit an arbitrary timeseries data to a function defined within least_squares_func() through non-linear least squares curve fit function curve_fit() from SciPy. Though error band in least squares fit could be high, trend in data is reasonably accurate especially for chaotic financial timeseries. 1644.3 Curve fit Plot and logs for a random timeseries have been added to repositories: testlogs/Streaming_TimeSeriesData.LeastSquares.20November2025.jpg testlogs/Streaming_TimeSeriesData.log.20November2025
Srinivasan Kannan
More... 11 months ago
Section 1630 updated
Srinivasan Kannan
More... 11 months ago
1643. (THEORY and FEATURE) Music Information Retrieval(MIR) - Learning the Longest Repeated Notes Subsequence in a music notes sequence - 20 November 2025 - related to 3,110,134,298,1223,1224,1257,1258,1261,1305,1306,1307,1308,1309,1310,1311,1315,1353,1432,1433,1434,1438,1439,1440,1441,1458,1478,1524,1535,1628 and all sections on Music search-Music discovery, Intrinsic Merit of Music, MIR(Music Information Retrieval), Music Similarity and Clustering, AI Music Synthesis from summation of damped sinusoids, Additive Synthesis, fMRI connectomes - OpenNeuro - Psychology of music, Weighted automata, Chaos, Deep Learning, Dynamic Time Warping-Music Timeseries analysis, Music Evoked Autobiographical Memories, Waveshaping, ThoughtNet, Majority Voting (Enjoyable music) Vs Intrinsic (Quality music) - Condorcet Jury Theorem variants,Computational Learning Theory, Boolean Function Composition, Longest Common Subsequence, Suffix Trees - Longest Repeated Substring, MultiFractal Detrended Fluctuation Analysis of Non-stationary timeseries, Ramsey Theory-Van Der Waerden Theorem for coloring of sequences, Pumping Lemma, Normalized Compression Distance-Kolmogorov complexity, Merit of Large Scale Visuals, Recurrent Neural Networks,Neo-Riemannian Theory of Music,Attack-Decay-Sustain-Release model
Srinivasan Kannan
More... 11 months ago
---------------------------------------------------------------------------------------------------------------------------------------------- 1643. (THEORY and FEATURE) Music Information Retrieval(MIR) - Learning the Longest Repeated Notes Subsequence in a music notes sequence - 20 November 2025 - related to 3,110,134,298,1223,1224,1257,1258,1261,1305,1306,1307,1308,1309,1310,1311,1315,1353,1432,1433,1434,1438,1439,1440,1441,1458,1478,1524,1535,1628 and all sections on Music search-Music discovery, Intrinsic Merit of Music, MIR(Music Information Retrieval), Music Similarity and Clustering, AI Music Synthesis from summation of damped sinusoids, Additive Synthesis, fMRI connectomes - OpenNeuro - Psychology of music, Weighted automata, Chaos, Deep Learning, Dynamic Time Warping-Music Timeseries analysis, Music Evoked Autobiographical Memories, Waveshaping, ThoughtNet, Majority Voting (Enjoyable music) Vs Intrinsic (Quality music) - Condorcet Jury Theorem variants,Computational Learning Theory, Boolean Function Composition, Longest Common Subsequence, Suffix Trees - Longest Repeated Substring, MultiFractal Detrended Fluctuation Analysis of Non-stationary timeseries, Ramsey Theory-Van Der Waerden Theorem for coloring of sequences, Pumping Lemma, Normalized Compression Distance-Kolmogorov complexity, Merit of Large Scale Visuals, Recurrent Neural Networks,Neo-Riemannian Theory of Music,Attack-Decay-Sustain-Release model ---------------------------------------------------------------------------------------------------------------------------------------------- 1643.1 python-src/StringSearch_LongestRepeatedSubstring.py has been updated to remove hardcoded pattern file name and replace it with SuffixArray constructor initializer. 1643.2 python-src/music_pattern_mining/AudioToBitMatrix.py has been updated to import SuffixArray from StringSearch_LongestRepeatedSubstring 1643.3 New function def longest_repeated_notes_sequence(clip,clipslice=1000) has been defined that accepts a music clip as argument, gets the notes sequence in the music and learns the Longest Repeated Subsequence of notes within the music by instantiating a SuffixArray object for music notes and invoking longest_repeated_substring() on SuffixArray object. Music has periodicities of notes and Longest Repeated Subsequence of notes within the music is the obvious notion to capture the pattern in music. 1643.4 Earlier function includes a clipslice argument to configure the number of notes processed by SuffixArray. 1643.5 Longest Repeated Subsequence is learnt for JS Bach's Musicological Offering: longest_repeated_notes_sequence("testlogs/JSBach_Musicological_Offering.mp4") 1643.6 Learning Longest repeated subsequence of notes in music complements the Weighted Finite Automaton-Recurrent Neural Network (WFA-RNN) based music synthesizer implementation. In ideal sense, Minimum Description Length or Kolmogorov complexity of music notes sequence is the best measure of music structure but is undecidable and Longest Repeated Subsequence is an approximation of minimum description length.
Srinivasan Kannan
More... 11 months ago
Section 1639 updated
Srinivasan Kannan
More... 12 months ago
Section 744 updated
Srinivasan Kannan
More... 12 months ago